CN115590495A

CN115590495A - Physiological parameter detection method and electronic equipment

Info

Publication number: CN115590495A
Application number: CN202110770431.6A
Authority: CN
Inventors: 严家兵; 夏凯伦; 赵帅; 杨斌
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2021-07-07
Filing date: 2021-07-07
Publication date: 2023-01-13
Also published as: WO2023280019A1

Abstract

The embodiment of the application provides a physiological parameter detection method and electronic equipment. According to the method, the liver impedance of the user can be detected through at least two electrodes on the electronic equipment, the body parameters of the user, such as the waist circumference and/or the hip circumference, can be detected through a sensor on the electronic equipment, and then the physiological parameters of the user, such as the risk level of the liver and the like, can be obtained through the detected liver impedance and the body parameters of the user, such as the waist circumference and/or the hip circumference. Therefore, accurate and convenient detection of physiological parameters such as the risk level of the liver of the user through the electronic equipment is achieved, and user experience is improved.

Description

Physiological parameter detection method and electronic equipment

Technical Field

The present application relates to the field of terminal technologies, and in particular, to a physiological parameter detection method and an electronic device.

Background

With the increasing living standard, fatty liver (Fatty liver) gradually becomes the first liver disease of human, and the prevalence rate is gradually increased. Among them, fatty liver is mainly caused by liver lesion due to excessive fat accumulation in liver cells. In general, fatty liver can be diagnosed when there is 5% or more of steatosis in liver tissue, and thus liver fat is an important feature for detecting fatty liver. However, the process of detecting the liver is too complex at present, and the detection equipment is not easy to carry and is not friendly to users. Therefore, how to provide an apparatus capable of accurately and conveniently detecting the liver of the user is a technical problem that needs to be solved at present.

Disclosure of Invention

The embodiment of the application provides a physiological parameter detection method, electronic equipment, a computer storage medium and a computer program product containing instructions, which can accurately and conveniently detect the liver of a user.

In a first aspect, an embodiment of the present application provides a method for detecting a physiological parameter, where the method is applied to an electronic device, where the electronic device has a first group of electrodes and a second group of electrodes, the first group of electrodes is located on a first surface of the electronic device, and the second group of electrodes is located on a second surface of the electronic device; the first surface and the second surface are different side surfaces of the electronic equipment; the method comprises the following steps: detecting a first operation; responding to the first operation, displaying a first user interface, wherein the first user interface instructs a user to contact the first part and the second part with the first group of electrodes and the second group of electrodes respectively so as to conduct the first group of electrodes and the second group of electrodes; generating a first current having a first current value when the first and second sets of electrodes are turned on; determining a first voltage value between the first set of electrodes and the second set of electrodes; determining a first physiological parameter according to the first current value and the first voltage value; displaying a second user interface instructing a user to contact the first portion and the third portion with the first group of electrodes and the second group of electrodes respectively to conduct the first group of electrodes and the second group of electrodes; generating a second current having a second current value when the first and second sets of electrodes are turned on; determining a second voltage value between the first set of electrodes and the second set of electrodes; determining a second physiological parameter according to the second current value and the second voltage value; and determining a third physiological parameter according to the first physiological parameter and the second physiological parameter. Therefore, accurate and convenient detection of physiological parameters such as the liver impedance of the user can be achieved through the electronic equipment, and the risk level of the liver of the user can be determined through the detected liver impedance.

For example, as depicted in fig. 5 (a), the first region may be a position under the liver, the second region may be a finger of the left hand of the user, the third region may be a finger of the right hand of the user, the first physiological parameter may be impedance of the left arm-liver, the second physiological parameter may be impedance of the right arm-liver, and the third physiological parameter may be impedance of the liver.

For example, as depicted in fig. 5 (B), the first portion may be a finger of a left hand of the user, the second portion may be a position under the liver, the third portion may be a position over the liver, the first physiological parameter may be a first impedance, the second physiological parameter may be a second impedance, and the third physiological parameter may be a liver impedance.

For example, the first operation may be an operation of selecting a liver detection by the user, for example, an operation of selecting a multi-frequency mode or a low-frequency mode in fig. 14 (D).

In one possible implementation, after determining the second physiological parameter according to the second current value and the second voltage value, the method further includes: displaying a third user interface instructing a user to contact the second site and the third site with the first group of electrodes and the second group of electrodes, respectively, to turn on the first group of electrodes and the second group of electrodes; generating a third current having a third current value when the first and second groups of electrodes are turned on; determining a third voltage value between the first set of electrodes and the second set of electrodes; determining a fourth physiological parameter according to the third current value and the third voltage value; determining a third physiological parameter according to the first physiological parameter and the second physiological parameter, which specifically comprises: and determining a third physiological parameter according to the first physiological parameter, the second physiological parameter and the fourth physiological parameter. For example, as depicted in fig. 5 (a), the first region may be a position under the liver, the second region may be a finger of the left hand of the user, the third region may be a finger of the right hand of the user, the first physiological parameter may be an impedance of the left arm-liver, the second physiological parameter may be an impedance of the right arm-liver, the fourth physiological parameter may be an impedance of the upper limb, and the third physiological parameter may be an impedance of the liver.

In one possible implementation, the method further comprises: detecting a second operation; in response to the second operation, displaying a fourth user interface, the fourth user interface instructing the user to place the electronic device on the first area on the user's body and to move along the first area; detecting, by a sensor in an electronic device, motion data of the electronic device; obtaining a first body parameter of the user according to the movement data; and determining a fifth physiological parameter according to the first body parameter, the first physiological parameter and the second physiological parameter. In this way, the physical parameter of the user can be detected by the sensor on the electronic device and in combination with the physical parameter, the fifth physiological parameter is determined. Illustratively, the first body parameter may be waist circumference and/or hip circumference. For example, the first operation may be an operation of selecting, by the user, to detect the waist circumference and/or the hip circumference, etc., and may be, for example, an operation of selecting to measure the waist circumference in fig. 14 (a). Illustratively, the fifth physiological parameter may be fat content of the liver, risk level, and the like.

In a possible implementation manner, obtaining the first body parameter of the user according to the motion data specifically includes: determining a starting point, a middle stopping point and an ending point of the movement of the electronic equipment according to the movement data, and determining the movement time of n movement stages between the starting point and the ending point, wherein n is a positive integer greater than or equal to 1; determining a motion component of the electronic equipment in at least one direction in a space coordinate system according to the motion data and the motion time of the n motion phases; a first body parameter is derived from the motion component in at least one direction.

In one possible implementation, a target current is generated, the target current having a target current value; determining a target voltage value between the first set of electrodes and the second set of electrodes; determining a target physiological parameter from the target current value and the target voltage value, further comprising: generating m currents with frequencies, wherein m is a positive integer greater than or equal to 2, the current values of the currents with different frequencies are target current values at different time; determining voltage values between the first group of electrodes and the second group of electrodes under currents of different frequencies to obtain m voltage values, wherein one voltage value corresponds to a current of one frequency; determining a target physiological parameter according to the current value and the m voltage values of the target current; the target current is a first current, the target current value is a first current value, the target voltage value is a first voltage value, and the target physiological parameter is a first physiological parameter; or the target current is a second current, the target current value is a second current value, the target voltage value is a second voltage value, and the target physiological parameter is a second physiological parameter; or the target current is the third current, the target current value is the third current value, the target voltage value is the third voltage value, and the target physiological parameter is the fourth physiological parameter. Like this, through the current detection physiological parameter of multiple different frequencies, can detect physiological parameter from a plurality of dimensions, promoted the degree of accuracy that third physiological parameter detected.

In one possible implementation, the first set of electrodes is integrated on physical keys on the first surface and/or the second set of electrodes is integrated on physical keys on the second surface.

In one possible implementation, the first group of electrodes includes one electrode, and the second group of electrodes includes one electrode; alternatively, the first set of electrodes includes two electrodes and the second set of electrodes includes two electrodes.

In a second aspect, the present application provides a method for detecting a physiological parameter, where the method is applied to an electronic device, the electronic device has a first set of electrodes and a second set of electrodes, the first set of electrodes is located on a first surface of the electronic device, and the second set of electrodes is located on a second surface of the electronic device; the first surface and the second surface are different sides of the electronic equipment; the method comprises the following steps: detecting a first operation; responding to the first operation, displaying a first user interface, wherein the first user interface instructs a user to contact the first part and the second part with the first group of electrodes and the second group of electrodes respectively so as to conduct the first group of electrodes and the second group of electrodes; generating a first current having a first current value when the first group of electrodes and the second group of electrodes are turned on; determining a first voltage value between the first set of electrodes and the second set of electrodes; determining a first physiological parameter according to the first current value and the first voltage value; determining n second physiological parameters according to the first physiological parameters, wherein n is a positive integer greater than or equal to 1; and obtaining a third physiological parameter according to the n second physiological parameters. Like this, can realize accurate and convenient physiological parameters such as the liver impedance to the user that detect through wearable equipment, and then can confirm the risk level of user's liver by the liver impedance that detects out.

Illustratively, the first region may be a left finger of the user depicted in fig. 6, the second region may be a right finger of the user depicted in fig. 6, the first physiological parameter may be upper limb impedance, the n second physiological parameters may include one or more of body fat rate, visceral fat content in the trunk, or trunk fat content, and the third physiological parameter may be fat content of the liver or a risk level of the liver.

In a possible implementation manner, obtaining the third physiological parameter according to the n second physiological parameters specifically includes: obtaining a fourth physiological parameter; and obtaining a third physiological parameter according to the n second physiological parameters and the fourth physiological parameter. Illustratively, the fourth physiological parameter includes waist circumference and/or height. Therefore, the third physiological parameter is obtained by combining the fourth physiological parameter, and the accuracy of detecting the third physiological parameter is improved.

In a possible implementation manner, obtaining the third physiological parameter according to the n second physiological parameters and the fourth physiological parameter specifically includes: determining the time difference between the fourth physiological parameter obtained at the current time and the fourth physiological parameter obtained at the previous time; and obtaining a third physiological parameter according to the time difference, the n second physiological parameters and the fourth physiological parameter obtained at this time. Illustratively, the fourth physiological parameter is waist circumference. Therefore, the third physiological parameter is corrected according to the input time difference of the fourth physiological parameter, and the accuracy of detecting the third physiological parameter is improved.

In a third aspect, an embodiment of the present application provides an electronic device, including: a first set of electrodes located on a first surface of the electronic device; the second group of electrodes are positioned on a second surface of the electronic equipment, and the first surface and the second surface are different side surfaces of the electronic equipment; a memory storing a computer program; a processor electrically connected to the first set of electrodes and the second set of electrodes; wherein the computer program stored in the memory, when executed by the processor, causes the electronic device to perform the method provided by the first aspect or the second aspect.

In one possible implementation, the electronic device further includes a sensor for detecting motion data of the electronic device. Illustratively, the sensor may be one or more of an inertial sensor, an acceleration sensor, an angular velocity sensor, and the like.

In a fourth aspect, an embodiment of the present application provides a distance measurement method, which may include: detecting a third operation; displaying a fifth user interface in response to the third operation, the fifth user interface indicating that the user moves the electronic device; detecting, by a sensor in an electronic device, motion data of the electronic device; and obtaining the moving distance of the electronic equipment according to the motion data. The distance can thus be measured by the electronic device. For example, the sensors in the electronic device may be inertial sensors, acceleration sensors, angular velocity sensors, and the like. For example, the third operation may be the same as the second operation described above, but the operation of selecting the measurement of the waist circumference in the second operation is replaced with the operation of measuring the distance.

In a possible implementation manner, obtaining a moving distance of the electronic device according to the motion data specifically includes: determining a starting point, a middle stopping point and an ending point of the movement of the electronic equipment according to the movement data, and determining the movement time of n movement stages between the starting point and the ending point, wherein n is a positive integer greater than or equal to 1; determining a motion component of the electronic equipment in at least one direction in a space coordinate system according to the motion data and the motion time of the n motion phases; and obtaining the moving distance of the electronic equipment according to the motion component in at least one direction. For example, when the user measures the waist circumference, the distance that the electronic device moves may be the size of the waist circumference.

In a fifth aspect, embodiments of the present application provide a computer storage medium having instructions stored therein, which when executed on a computer, cause the computer to perform the method provided by the first aspect, the second aspect, or the fourth aspect.

In a sixth aspect, the present application provides a computer program product containing instructions that, when executed on a computer, cause the computer to perform the method provided by the first aspect, the second aspect or the fourth aspect.

Drawings

Fig. 1 is a schematic structural diagram of a mobile phone according to an embodiment of the present application;

fig. 2 is a schematic layout diagram of electrodes on a mobile phone according to an embodiment of the present disclosure;

fig. 3 is a schematic layout of electrodes on a mobile phone according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of a processor on a mobile phone according to an embodiment of the present application;

FIG. 5 is a schematic diagram of a process for detecting impedance of a liver according to an embodiment of the present application;

FIG. 6 is a schematic diagram of a finger touching an electrode on a mobile phone according to an embodiment of the present disclosure;

FIG. 7 is a schematic diagram of an electrode on a finger and body contact handset provided by an embodiment of the present application;

FIG. 8 is a schematic diagram of an equivalent impedance of a human body in a process of measuring impedance of a liver according to an embodiment of the present application;

FIG. 9 is a schematic diagram illustrating an equivalent impedance of a human body in a process of measuring liver impedance according to an embodiment of the present application;

FIG. 10 is a schematic diagram of a device for measuring liver impedance according to an embodiment of the present application;

FIG. 11 is a schematic diagram of a device for measuring liver impedance according to an embodiment of the present application;

fig. 12 is a schematic view illustrating a procedure for measuring waist circumference by using a mobile phone according to an embodiment of the present disclosure;

fig. 13 is a schematic diagram of various time periods when waist circumference is measured by using a mobile phone according to an embodiment of the present application;

fig. 14 is a schematic diagram of a process for detecting a risk level of a liver by using a mobile phone according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings.

The terminology used in the following examples is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, such as "one or more", unless the context clearly indicates otherwise. It should also be understood that in the following embodiments of the present application, "at least one", "one or more" means one or more than two (including two). The term "and/or" is used to describe the association relationship of the associated objects, and means that there may be three relationships; for example, a and/or B, may represent: a exists singly, A and B exist simultaneously, and B exists singly, wherein A and B can be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.

Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more, but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless otherwise specifically noted. The term "coupled" includes direct coupling and indirect coupling, unless otherwise noted.

In the following, the terms "first", "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to implicitly indicate the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature.

In the embodiments of the present application, the words "exemplary" or "such as" are used herein to mean serving as an example, instance, or illustration. Any embodiment or design described in this application as "exemplary" or "e.g.," should not be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "e.g.," is intended to present relevant concepts in a concrete fashion.

The embodiment of the application provides an electronic device, wherein the electronic device can detect liver fat of a user. Illustratively, the electronic device includes, but is not limited to, a mobile phone, a watch, a bracelet, a tablet computer, and the like. The following describes the technical solution provided by the present application, taking the electronic device as a mobile phone as an example.

Fig. 1 shows a schematic structural diagram of a mobile phone provided in an embodiment of the present application. As shown in fig. 1, the cellular phone 100 includes: a device body 11, a sensor 12, a processor 13 and at least two sets of electrodes. The sensor 12 and the processor 13 are both provided in the apparatus main body 11. Each set of electrodes is disposed on the outer surface of the device body 11, and each set of electrodes includes at least one electrode 14, that is, a plurality of electrodes 14 are disposed on the mobile phone 100 in this embodiment. The sensor 12 and each electrode 14 comprised by each set of electrodes are electrically connected to a processor 13.

The sensor 12 may include one or more of an inertial sensor (IMU), an acceleration sensor, or an angular velocity sensor, among others. Illustratively, the inertial sensors may include accelerometers and angular velocity meters (i.e., gyroscopes). In the embodiment of the present application, the sensor 12 can detect the motion data of the mobile phone 100 while the mobile phone 100 is moving, such as: acceleration, angular velocity, etc.

The processor 13 is the computing core and control core of the handset 100. The processor 13 may include one or more processing units, for example, the processor 13 may include one or more of an Application Processor (AP), a modem (modem), a Graphics Processing Unit (GPU), an Image Signal Processor (ISP), a controller, a video codec, a Digital Signal Processor (DSP), a baseband processor, and/or a neural Network Processor (NPU), and the like. Wherein, the different processing units may be independent devices or may be integrated in one or more processors. In one example, the processor 13 may implement or perform the methods, steps disclosed in the embodiments of the present application. For example, the processor 13 may determine the waist and/or hip circumference, etc. of the user based on the data detected by the sensor 12; the processor 13 may also be controlled to generate electrical signals of at least one frequency to determine the impedance of the user's liver via the plurality of electrodes 14; the processor 13 may also derive a risk level for the user's liver based on the determined liver impedance, and so on.

The plurality of electrodes 14 may be coated on the device body 11, may be adhered to the device body 11, or may be integrated on a physical key (e.g., a power-on key, a volume adjustment key, etc.) on the device body 11, which is not limited herein. For example, the electrode 14 may be fixed to the surface of the device body 11 by plating a film on the device body 11. The plurality of electrodes 14 may be disposed on the same surface of the mobile phone 100 at intervals, for example, may be disposed on the front, back, or side of the mobile phone 100, where the front may be a surface on which the display screen is disposed on the mobile phone 100, the back may be a surface of the mobile phone 100 opposite to the display screen of the mobile phone 100, and the side may be a general name of surfaces of the mobile phone 100 located on the left side, the right side, the upper side, and the lower side of the front of the mobile phone 100. In addition, a part of the electrodes 14 may be disposed on the back surface of the mobile phone 100, and another part of the electrodes may be disposed on the side surface of the mobile phone 100; alternatively, a part of the plurality of electrodes 14 may be disposed on the front surface of the mobile phone 100, and another part of the electrodes may be disposed on the side surface of the mobile phone 100; alternatively, a part of the plurality of electrodes 14 may be disposed on the back surface of the mobile phone 100, and another part of the electrodes may be disposed on the front surface of the mobile phone 100.

Illustratively, the plurality of electrodes 14 may each be disposed on a side of the handset 100 for ease of user operation. Wherein the plurality of electrodes 14 may be disposed on one or more of the upper, lower, left, and right sides of the cell phone 100.

For example, as shown in fig. 2 (a), when the number of the electrodes 14 is two, one of the electrodes 14 may be disposed on the left side of the cellular phone 100, and the other electrode 14 may be disposed on the lower side of the cellular phone 100. When the number of the electrodes 14 is two, one of the electrodes 14 may be disposed on the right side of the cellular phone 100 and the other electrode 14 may be disposed on the lower side of the cellular phone 100, as shown in fig. 2 (B). When the number of the electrodes 14 is two, one of the electrodes 14 may be disposed on the upper side of the cellular phone 100, and the other electrode 14 may be disposed on the lower side of the cellular phone 100, as shown in fig. 2 (C). As shown in fig. 2 (D), when the number of the electrodes 14 is two, one of the electrodes 14 may be disposed on the right side surface of the cellular phone 100, and the other electrode 14 may be disposed on the upper side surface of the cellular phone 100. When the number of the electrodes 14 is two, one of the electrodes 14 may be disposed on the left side surface of the cellular phone 100, and the other electrode 14 may be disposed on the upper side surface of the cellular phone 100, as shown in fig. 2 (E).

Illustratively, as shown in fig. 3 (a), when the number of the electrodes 14 is four, two of the electrodes 14 may be disposed on the left side of the mobile phone 100, and the other two electrodes 14 may be disposed on the lower side of the mobile phone 100. As shown in fig. 3 (B), when the number of the electrodes 14 is four, two of the electrodes 14 may be disposed on the right side of the cellular phone 100, and the other two electrodes 14 may be disposed on the lower side of the cellular phone 100. As shown in fig. 3 (C), when the number of the electrodes 14 is four, two of the electrodes 14 may be disposed on the upper side of the mobile phone 100, and the other two electrodes 14 may be disposed on the lower side of the mobile phone 100. As shown in fig. 3 (D), when the number of the electrodes 14 is four, two of the electrodes 14 may be disposed on the right side surface of the mobile phone 100, and the other two electrodes 14 may be disposed on the upper side surface of the mobile phone 100. As shown in fig. 3 (E), when the number of the electrodes 14 is four, two of the electrodes 14 may be disposed on the left side surface of the mobile phone 100, and the other two electrodes 14 may be disposed on the upper side surface of the mobile phone 100.

It can be understood that, when the number of the electrodes 14 is greater than four, the arrangement manner of the electrodes 14 on the mobile phone 100 may refer to the arrangement manner when the number of the electrodes 14 is two or four, and details are not described herein.

For example, as shown in fig. 4, the processor 13 in the mobile phone 100 may be provided with a current generating unit 131, a voltage measuring unit 132, and a control and processing unit 133. The current generation unit 131 may generate a current under the control of the control and processing unit 133, for example, generate a current of 50 microamperes (μ a) or 100 microamperes (μ a), etc.; wherein the current generating unit 131 may be connected to an electrode in the mobile phone 100. In addition, the current generating unit 131 may also generate currents of different frequencies under the control of the control and processing unit 133, for example, generate a current of 50 kilohertz (kHz) or 250 kilohertz (kHz), and the like. The voltage measurement unit 132 may measure a voltage; wherein the voltage measuring unit 132 may be connected to electrodes in the handset 100. The control and processing unit 133 may control the current generating unit 131 to generate the current, or may determine the impedance of the human body based on the voltage value detected by the voltage measuring unit 132 and the current value generated by the current generating unit 131. For example, the impedance of the human body may be a ratio between a voltage value detected by the voltage measuring unit 132 and a current value generated by the current generating unit 131. For example, the current values of the currents with different frequencies may be the same, the voltage values corresponding to the currents with different frequencies may be the same, or may be different, and the time when the currents with different frequencies are generated is different.

For example, after the user initiates the detection, the current generating unit 131 may apply a voltage between one electrode of one set of electrodes and one electrode of the other set of electrodes, when the user brings both electrodes of the wearable device 100 into contact with their body, the two electrodes will be turned on, and a current will be generated, and at this time, the current generating unit 131 may adjust the voltage so that the current reaches a preset current value (for example, 50 microamps), and control to continuously maintain the current value during the detection. For example, when the current value reaches a preset current value, the voltage may be maintained constant to maintain the current value constant. For example, after the user initiates the detection, the current generating unit 131 may apply a preset voltage value between one electrode of one set of electrodes and one electrode of the other set of electrodes, and when the user brings both electrodes of the wearable device 100 into contact with his/her body, both electrodes will be turned on, and a current will be generated, and then the current generating unit 131 may detect the current value. Then, the impedance value can be obtained by the current value and the preset voltage value. In addition, in order to improve the accuracy of the measurement, the voltage may be detected by the voltage measuring unit 132, and the impedance value may be determined using the detected voltage value and the detected current value. It is understood that, in this embodiment, in addition to the current generating unit 131, the voltage measuring unit 132 and the control and processing unit 133 being all integrated on the processor 13, any one or two of the current generating unit 131, the voltage measuring unit 132 and the control and processing unit 133 may also be integrated on the processor 13, and the rest may be separately provided. In addition, the current generating unit 131, the voltage measuring unit 132 and the control and processing unit 133 may be disposed separately, and are not limited herein.

The above is an introduction to the structure of the mobile phone 100 provided in the embodiment of the present application. Next, based on the contents described above, the electronic device is a mobile phone 100, and with reference to fig. 5, a description is made on an impedance scheme for detecting a liver according to an embodiment of the present application. Illustratively, as shown in fig. 5 (a), the method of detecting the impedance of the liver may include the steps of:

s1011, determining the impedance of the upper limb.

Specifically, in determining the upper limb impedance, the user may touch different electrodes on the handset 100 with both the left and right hands, thereby obtaining the upper limb impedance.

For example, the number of the electrodes on the mobile phone 100 is 4, and 2 electrodes are disposed on the right side of the mobile phone 100, and 2 electrodes are disposed on the lower side of the mobile phone 100. In detecting the upper limb impedance by the cell phone 100, as shown in fig. 6, the user can touch two electrodes on the right side face of the cell phone 100 with two fingers on the left hand, while touching two electrodes on the lower side face of the cell phone 100 with two fingers on the right hand. Further, after the user places the fingers of the left hand and the fingers of the right hand on the electrodes of the mobile phone 100, the electrode in contact with the left hand of the user and the electrode in contact with the right hand of the user are conducted, and at this time, the current generated by the current generating unit 132 in the processor 13 in the mobile phone 100 flows in the loop formed between the left hand and the right hand of the user. Thereafter, the voltage measuring unit 132 in the processor 13 of the cellular phone 100 may measure the voltage value between the electrode in contact with the user's left hand and the electrode in contact with the user's right hand. Finally, the control and processing unit 133 in the processor 13 of the mobile phone 100 can obtain the upper limb impedance of the user according to the voltage value detected by the voltage measuring unit 132 and the current value generated by the current generating unit 131.

S1012, determining the impedance from the left upper limb to the liver.

Specifically, in determining the impedance of the left upper limb to the liver, the user may touch one part of the electrodes on the handset 100 with the left hand and touch another part of the electrodes on the handset 100 with an area on the lower side of the liver on the user's body, thereby obtaining the impedance of the left upper limb to the liver.

For example, the number of the electrodes on the mobile phone 100 is 4, and 2 electrodes are disposed on the right side of the mobile phone 100, and 2 electrodes are disposed on the lower side of the mobile phone 100. In detecting the impedance of the left upper limb to the liver by the cell phone 100, the user may touch the two electrodes on the right side of the cell phone 100 with the two fingers on the left hand while contacting the two electrodes on the lower side of the cell phone 100 with the skin of the user's body in the area under the liver, as shown in fig. 7. Further, after the user places the finger of the left hand on the electrode on the right side of the mobile phone 100 and contacts the electrode on the lower side of the mobile phone 100 with the area on the lower side of the liver of the user's body, the electrode in contact with the left hand of the user and the electrode in contact with the area on the lower side of the liver of the user's body are turned on, and at this time, the current generated by the current generating unit 132 in the processor 13 in the mobile phone 100 flows in the loop formed between the left hand of the user and the area on the lower side of the liver of the user's body. Thereafter, the voltage measuring unit 132 in the processor 13 of the mobile phone 100 may measure the voltage value between the electrode in contact with the left hand of the user and the electrode in contact with the lower area of the liver of the user's body. Finally, the control and processing unit 133 in the processor 13 of the mobile phone 100 can obtain the impedance from the left upper limb of the user to the liver according to the voltage value detected by the voltage measuring unit 132 and the current value generated by the current generating unit 131.

S1013, determining the impedance of the right upper limb to the liver.

In particular, the process of determining the impedance of the right upper limb to the liver is similar to the process of determining the impedance of the left upper limb to the liver, except that the left hand of the user is brought into contact with the electrodes instead of the right hand of the user, as described above in detail, and not described here again.

And S1014, obtaining the impedance of the liver according to the impedance of the upper limb, the impedance of the left upper limb to the liver and the impedance of the right upper limb to the liver.

Specifically, after obtaining the impedance of the upper limb, the impedance of the left upper limb to the liver, and the impedance of the right upper limb to the liver, the impedance of the liver can be obtained according to the impedance of the upper limb, the impedance of the left upper limb to the liver, and the impedance of the right upper limb to the liver. Illustratively, as shown in fig. 8 (a), the upper limb impedance may be equivalent to the impedance between a and b (abbreviated as R) _a-b ) Wherein the impedance of the left upper limb may be equivalent toResistance R _a The impedance of the right upper limb can be equivalent to the resistance R _b Resistance R _a-b ＝R _a +R _b (ii) a As shown in FIG. 8B, the impedance of the left upper limb to the liver may be equivalent to the impedance between a and c (abbreviated as R) _a-c ) Wherein the impedance of the left upper limb can be equivalent to the resistance R _a The liver impedance may be equivalent to the resistance R _c Resistance R _a-c ＝R _a +R _c (ii) a As shown in (C) of FIG. 8, the impedance of the right upper limb to the liver may be equivalent to the impedance between b and C (abbreviated as R _b-c ) Wherein the impedance of the right upper limb can be equivalent to the resistance R _b The liver impedance may be equivalent to the resistance R _c Resistance R _b-c ＝R _b +R _c (ii) a Thus, the impedance of the liver may be equivalent to R _c ＝ (R _a-c +R _b-c -R _a-b )/2。

Illustratively, as shown in fig. 5 (B), the method of detecting the impedance of the liver may further include the steps of:

s1021, determining a first impedance from the left upper limb to the upper part of the liver.

Specifically, in determining the first impedance of the left upper limb to above the liver, the user may touch a portion of the electrodes on the cell phone 100 with the left hand and touch another portion of the electrodes on the cell phone 100 with an area on the user's body above the liver, thereby obtaining the first impedance of the left upper limb to above the liver.

And S1022, determining a second impedance from the left upper limb to the lower part of the liver.

In particular, in determining the second impedance of the left upper limb to the underside of the liver, the user may touch a portion of the electrodes on the cell phone 100 with the left hand and touch another portion of the electrodes on the cell phone 100 to an area on the user's body that is under the liver, thereby resulting in the second impedance of the left upper limb to the underside of the liver.

And S1023, obtaining the liver impedance according to the first impedance and the second impedance.

Specifically, after the first impedance and the second impedance are obtained, the impedance of the liver can be obtained according to the first impedance and the second impedance. Illustratively, as shown in FIG. 9, the first impedance may be equivalent to between b and dImpedance of (abbr. R) _a-d ) The second impedance is equivalent to the impedance between a and c (abbreviated as R) _a-c ) The liver impedance may be equivalent to the impedance between c and d (R for short) _c-d ) Wherein the impedance of the left upper limb can be equivalent to the resistance R _a The liver impedance may be equivalent to the resistance R _c (i.e. R) _c-d ) Resistance R _a-c ＝ R _a +R _c Resistance R _a-d ＝R _a +R _d Thus, the liver impedance R _c ＝R _a-c -R _a-d 。

It is understood that, in fig. 5 (B), the left upper limb may be replaced by the right upper limb, and the detection process is similar to the left upper limb, and is not described herein again. In addition, the execution sequence of S1021 and S1022 may be arbitrarily selected, and is not limited herein.

It is understood that, in the process of measuring the impedance of the liver, in addition to the measurement using 4 electrodes, the measurement using 2 electrodes or other number of electrodes may also be used, where the manner when the measurement using different number of electrodes is used is similar, and reference may be made to the measurement manner using 4 electrodes, which is not described herein again.

To facilitate understanding of the principle of measuring the impedance of the liver, the following description is given by way of example.

For example, in measuring the impedance of the liver, when the impedance of the liver is measured by two electrodes, as shown in fig. 10 (a), a current loop may be formed between the electrode a, the current generating unit 131, and the electrode b on the mobile phone 100, and the human body Q. Meanwhile, a voltage measuring loop can be formed between the electrode a, the voltage measuring unit 132 and the electrode b on the mobile phone 100 and the human body Q. In the measurement, the control and processing unit 133 in the processor 13 of the handset 100 can control the current generating unit 131 to generate the current I and flow through the formed current loop. Meanwhile, the voltage measuring unit 132 may measure the voltage U (i.e., the voltage of the human body) between the electrodes a and b. And finally, obtaining the impedance of the human body Q according to the voltage U and the current I.

When the impedance of the liver is measured by four electrodes, as shown in fig. 10 (B), a current loop may be formed between the electrode a, the current generation unit 131, and the electrode B on the mobile phone 100, and the human body Q. Meanwhile, a voltage measuring loop can be formed between the electrode c, the voltage measuring unit 132 and the electrode d on the mobile phone 100 and the human body Q. In the measurement, the control and processing unit 133 in the processor 13 of the handset 100 can control the current generating unit 131 to generate the current I and flow through the formed current loop. Meanwhile, the voltage measuring unit 132 may measure the voltage U (i.e., the voltage of the human body) between the electrodes c and d. And finally, obtaining the impedance of the human body Q according to the voltage U and the current I. It is understood that when more electrodes are used to measure the impedance of the liver, reference may be made to the measurement method using two or four electrodes, which are not described in detail herein.

It is understood that when the electrode of the mobile phone 100 contacts the body of the user, there is a contact resistance between the two. When the impedance of the liver is measured by two electrodes, as shown in fig. 11 (a), if the current generated by the current generating unit 131 is I, the contact impedances are R21 and R23, and the impedance of the human body is R22, the voltage U = IxR21+ IxR22+ IxR23 measured by the voltage measuring unit 133, and thus the impedance measured at this time is actually U/I = R21+ R22+ R23. It can be seen that at this time, the obtained impedance is 2 contact impedances more than the real impedance of the human body. Generally, the impedance of the human body is about 300-1000 Ω, and the contact impedance may be generally more than 30 Ω, and thus the contact impedance has a great influence on the measurement result. That is, the impedance of the liver measured by the two electrodes is less accurate.

When the impedance of the liver is measured by four electrodes, as shown in fig. 11 (B), if the current generated by the current generating unit 131 is I, the contact impedances are R21, R23, R24, and R25, and the impedance of the human body is R22. In the voltage measuring circuit, the human body impedance R22 is connected in series with two contact resistors R24 and R25. When the voltage measuring unit 132 measures the voltage, it may generate a current I ' approximate to 0, and at this time, the current flowing through the human body is I + I ', and the voltage U = I ' xR24+ (I + I ') xR22+ I ' xR25 measured by the voltage measuring unit 132. Since I' is approximately 0, U = IxR22, and the impedance of the human body obtained thereby U/I = R22, it can be seen that the human body impedance obtained at this time can reflect the real impedance of the human body. That is, the impedance of the liver measured by the four electrodes is high in accuracy.

Further, after the impedance of the liver is measured, the fat content of the liver can be obtained according to the impedance of the liver, and then the risk level of the liver can be evaluated.

Illustratively, the fat content of the liver can be calculated by the following formula. The formula (hereinafter referred to as "formula one") is:

wherein M is the fat content of the liver; r is the impedance of the liver; alpha (alpha) ("alpha") ₁ 、α ₂ And alpha ₃ The coefficient is a preset coefficient and can be obtained by experiment.

For example, when the fat content of the liver is calculated, the body parameters of the waist, hip circumference and the like of the user can be combined to improve the detection accuracy. At this time, the fat content of the liver can also be calculated by the following formula. The formula (hereinafter referred to as "formula two") is:

wherein M is the fat content of the liver; r is the impedance of the liver; l1 is waist circumference; l2 is hip circumference; alpha (alpha) ("alpha") ₁ 、α ₂ 、α ₃ 、α ₄ And alpha ₅ The coefficient is a predetermined coefficient and can be obtained by experiment.

Illustratively, when impedance of the liver is measured by currents of a plurality of different frequencies, the fat content of the liver may be calculated by the following equation. The formula (hereinafter referred to as "formula three") is:

wherein M is the fat content of the liver; r is ₁ And R ₂ Measured for currents of different frequenciesThe impedance of the liver; alpha is alpha ₁ 、α ₂ 、α ₃ 、 α ₄ And alpha ₅ The coefficient is a predetermined coefficient and can be obtained by experiment. It is understood that when the number of impedances of the liver measured at currents of different frequencies is greater than or equal to three, this may be added in equation three

Wherein R is _n Is the impedance of the nth liver, α _n And alpha _n+1 Is R _n The corresponding predetermined coefficients may be obtained experimentally.

Illustratively, when impedance of the liver is measured by a plurality of currents of different frequencies, and fat content of the liver is calculated, also in combination with body parameters of the user, such as waist circumference, hip circumference, etc., the fat content of the liver can be calculated by the following formula. The formula (hereinafter referred to as "formula four") is:

wherein M is the fat content of the liver; r ₁ And R ₂ The impedance of the liver measured under the current of different frequencies; l1 is waist circumference; l2 is hip circumference; alpha is alpha ₁ 、α ₂ 、α ₃ 、α ₄ 、α ₅ 、α ₆ And alpha ₇ The coefficient is a predetermined coefficient and can be obtained by experiment. It will be appreciated that when the number of impedances of the liver measured at different frequencies of current is greater than or equal to three, then this can be added in equation four

After the fat content of the liver is obtained, the risk level of the liver of the user can be determined based on the corresponding relationship between the fat content of the liver and the risk level of the liver. For example, the preset correspondence relationship between the fat content of the liver and the risk level of the liver may be as shown in table one, and when the fat content of the liver is determined to be "5", the risk level of the liver at this time is "suspected risk" as can be seen from table one.

Watch 1

Fat content of liver	Liver risk rating
		0～4	Is normal
4～7	Suspected risk
		7～10	High and high risk

At this point, the risk level of the user's liver is detected by the handset 100.

It will be appreciated that in detecting the risk level of the liver of the user, the user may manually enter parameters such as waist circumference and/or hip circumference when using the impedance of the liver in combination with parameters such as waist circumference and/or hip circumference to determine the risk level of the liver. In addition, the user may also use the cell phone 100 to detect his or her own waist and/or hip circumference.

For example, taking the waist measurement as an example, the user can hold the mobile phone 100 by hand, press the mobile phone 100 against the waist of the user, and control the mobile phone 100 to rotate around the waist. Then, the mobile phone 100 can measure the waist circumference of the user. Specifically, the sensor 12 in the handset 100 may detect motion data of the handset 100, such as acceleration data, angular velocity data, etc., while the user is holding the handset 100 in motion. As shown in fig. 12, the process of determining waist circumference may include the following steps:

s201, according to the motion data, determining a starting point, a middle stopping point and an ending point of the motion of the mobile phone.

Specifically, when the user selects to use the mobile phone 100 to measure the waist, the user often needs to bend the arm upwards and hold the mobile phone 100 to select the measured waist, and then move the mobile phone 100 to the waist; then, the mobile phone 100 is held by hand to move around the waist; finally, when the measurement is completed, the user can control the mobile phone 100 to move away from the waist. When the user controls the mobile phone 100 to move away from the waist, the user often needs to bend the arm upwards and hold the mobile phone 100 to perform the next operation. In the above-described measurement process, the first stage is a process in which the user moves the mobile phone 100 to the waist, the second stage is a process in which the user holds the mobile phone 100 to move around the waist, and the third stage is a process in which the user controls the mobile phone 100 to move away from the waist. In the first stage, the motion data of the mobile phone 100 in at least one direction in the spatial coordinate system generally changes greatly and changes rapidly, for example: displacement in the Z-axis direction; in the second stage, the motion data of the mobile phone 100 in at least one direction in the spatial coordinate system generally changes less, for example: displacement in the Z-axis direction; in the third stage, the motion data of the mobile phone 100 in at least one direction in the spatial coordinate system generally changes greatly and rapidly, for example: displacement in the Z-axis direction. Therefore, in the measurement process, the starting point and the ending point can be determined according to the change of the motion data of the mobile phone 100 in at least one direction in the space coordinate system. For example, a point where the acceleration component of the mobile phone 100 on the Z axis in the space coordinate system changes from a fast speed to a slow speed or does not change may be used as a starting point; and taking a point at which the acceleration component of the mobile phone 100 on the Z axis in the space coordinate system changes slowly or does not change to change rapidly as an end point.

In addition, when the user selects to use the mobile phone 100 to measure the waist, the user can also move the mobile phone 100 to the waist first, then select the mobile phone 100 to measure the waist, and then hold the mobile phone 100 to move around the waist; finally, when the measurement is completed, the user can control the mobile phone 100 to move away from the waist. In the measurement process, the first stage is a process of the user holding the mobile phone 100 around the waist, and the second stage is a process of the user controlling the mobile phone 100 to move away from the waist. In the first stage, the motion data of the mobile phone 100 in at least one direction in the spatial coordinate system generally has small changes, for example: displacement in the Z-axis direction; in the second stage, the motion data of the mobile phone 100 in at least one direction in the spatial coordinate system generally changes greatly and changes rapidly, for example: displacement in the Z-axis direction. Therefore, during the measurement process, a point at which the motion data of the mobile phone 100 in at least one direction (for example, the Z axis) in the spatial coordinate system changes slowly or does not change to a fast change may be used as the termination point. For example, the termination point may be a point where the acceleration component of the mobile phone 100 in the Z-axis in the spatial coordinate system changes slowly or does not change to change rapidly. As the starting point, a point at which measurement is started may be used as the starting point.

When the measurement of the waist is completed, the user may confirm the completion on the cellular phone 100 when the measurement is completed and the cellular phone 100 is not separated from the waist, and in this case, the user may select a position where the cellular phone 100 is located when the confirmation is completed as the termination point.

In both scenarios described above, the intermediate stopping point can be determined based on the motion data detected by the sensor 12 on the handset 100. For example, when the motion data stops changing, it can be considered that the mobile phone 100 has stopped moving, and the position of the mobile phone 100 at this time is the middle stopping point.

For example, the above-mentioned starting point, middle stopping point and ending point may be understood as all processes of detection by the mobile phone 100 itself. In addition, the cellular phone 100 may also determine the start point, the intermediate stop point, and the end point based on the participation result of the user. The mobile phone 100 may use a position point where the mobile phone 100 is located when the user selects to use the mobile phone 100 to measure the waistline as a starting point, use a position point where the mobile phone 100 is located when the user selects to suspend the measurement as a middle stopping point, and use a position point where the mobile phone is located when the user selects to end measuring the waistline as an ending point. For example, when the user selects to use the mobile phone 100 to measure the waist, the user may first move the mobile phone 100 to the waist, and then select the mobile phone 100 to measure the waist, and at this time, the mobile phone 100 may use the position point where the mobile phone 100 is located when the waist measurement starts as the starting point; when the waist circumference is measured, the user can confirm the end on the mobile phone 100 when the measurement is finished and the mobile phone 100 does not leave the waist, and at this time, the mobile phone 100 can take the position point where the mobile phone 100 is located when the user selects the end as the end point; in the waist circumference measurement, when the user selects to suspend the measurement, the cell phone 100 may use a position point at which the cell phone 100 is located when the user selects to suspend the measurement as the intermediate stop point.

For example, when the user selects to start measurement, pause measurement and end measurement, the user may issue a command by voice, or may issue a command by using a physical key or a virtual key. The physical key or the virtual key may be a volume key, a switch key, and the like, which is not limited herein.

S202, determining the movement time of each movement stage between the starting point and the ending point.

Specifically, during the movement of the mobile phone 100, the mobile phone 100 may record the starting time and the ending time of each movement, thereby obtaining the movement time of each movement phase. For example, as shown in fig. 13, the time t1 to t2 is a motion phase, and the motion time of the phase is t2-t1; the time from t2 to t3 is a middle stop stage, and the stop time of the stage is t3-t2; the movement phase is formed from time t3 to time t4, and the movement time of the phase is t4-t3.

And S203, determining motion components of the mobile phone 100 in all directions in a space coordinate system according to the time of each motion phase and the motion data corresponding to each motion phase.

Specifically, after the time of each motion phase and the motion data corresponding to each motion phase are determined, the motion component of the mobile phone 100 in each direction in the spatial coordinate system can be determined according to the time of each motion phase and the motion data corresponding to each motion phase.

For example, when the motion data is acceleration, the motion components of the mobile phone 100 in various directions in the spatial coordinate system can be determined by the following formula. The formula is:

wherein H _x Representing the acceleration component of the X-axis, H _y Represents the acceleration component of the Y-axis; h _z Represents an acceleration component of the Z-axis; acc (acrylic acid) _x A signal component representing the acceleration in the X-axis direction in the space coordinate system; acc _y A signal component representing the acceleration in the Y-axis direction in the space coordinate system; acc _z A signal component representing the Z-axis direction of the acceleration in the space coordinate system; k is a correction parameter which can be preset; t is t ₀ Indicating the starting moment of the first movement phase, at ₁ The movement duration of the first movement stage; t is t ₁ Denotes the starting time of the second movement phase, Δ t ₂ The movement duration of the second movement phase; t is t _n-1 Denotes the starting time of the nth movement phase, Δ t _n Is the movement duration of the nth movement phase.

And S204, obtaining the movement distance of the mobile phone 100 according to the movement components of the mobile phone 100 in all directions in the space coordinate system.

Specifically, the movement components of the mobile phone 100 in all directions in the space coordinate system are determined, that is, the movement distance of the mobile phone 100 can be obtained. Wherein, the movement distance is the waist circumference of the user.

For example, when the motion data is acceleration, the motion distance of the mobile phone 100 can be obtained by the following formula. The formula is as follows:

L＝β ₁ H _x +β ₂ H _y +β ₃ H _z +β ₄

wherein L is a movement distance of the mobile phone 100; h _x Representing the acceleration component of the X-axis, H _y Represents the acceleration component of the Y-axis; h _z Represents the acceleration component of the Z axis; beta is a ₁ 、β ₂ 、β ₃ And beta ₄ The coefficient is a predetermined coefficient and can be obtained by experiment.

It is understood that, in addition to the steps shown in fig. 10 for detecting the waist and hip circumference of the user, other movement distances of the mobile phone may also be detected, for example, the distance of the user moving with the mobile phone, and the like, which is not limited herein.

The above is a description of the mobile phone 100 and the related detection principle according to the technical solution of the present application. Next, the detection process of the risk level of the liver will be described by taking as an example the way in which the electrodes on the mobile phone 100 are arranged on the right and lower sides on the mobile phone 100, the risk level of the liver is detected by the waist circumference, hip circumference and impedance of the liver, and the way in which the impedance of the liver is detected as described in fig. 5 (a).

For example, an application related to liver fat detection (e.g., huashi sports health, etc.) may be installed on the mobile phone 100. As shown in fig. 14 (a), after the user opens an application related to detecting liver fat on the cell phone 100 and starts liver fat detection, the cell phone 100 may display an interface guiding the user to input/measure the waist and hip circumferences. In fig. 14 (a), if the user selects to input the waist circumference and the hip circumference, the flow of detecting the impedance of the liver may be entered; if the user chooses to measure the waist and hip circumference by using the mobile phone, the process of detecting the waist and hip circumference is entered.

In fig. 14 (a), after the user selects to measure the waist circumference by using the mobile phone, the waist circumference may be measured first and then the hip circumference may be measured, or the hip circumference may be measured first and then the waist circumference may be measured, which is not limited herein. Taking the measurement of the waist circumference and then the hip circumference as an example, after the user selects to measure the waist circumference using the mobile phone, the mobile phone 100 may display an interface as shown in fig. 14 (B). In the interface shown in fig. 14 (B), a prompt to measure the waist circumference, for example, "please attach the mobile phone close to the waist, wrap around the waist" and a prompt to show whether the measurement is completed or not may be displayed. When the user has finished measuring the waist circumference, the user may select "yes", i.e. select that the measurement has been finished. Thereafter, the cellular phone 100 can enter the interface shown in fig. 14 (C). In the interface shown in fig. 14 (C), a prompt indicating that the hip circumference is to be measured, for example, "please attach the mobile phone to the hip and wrap around the hip", and a prompt indicating whether the measurement is completed may be displayed on the mobile phone 100. When the user has completed measuring the hip circumference, the user may select "yes", i.e. select that the measurement has been completed. Then, the procedure of measuring the impedance of the liver is entered.

In the process of measuring the impedance of the liver, the upper limb impedance is measured first, then the liver-right upper limb impedance is measured, and finally the liver-left upper limb impedance is measured. When starting to measure the impedance of the liver, the mobile phone 100 may display an interface as shown in fig. 14 (D) to allow the user to select whether to measure the impedance of the liver in the multi-frequency mode or the low-frequency mode. The multi-frequency mode is to measure the impedance of the liver by using electrical signals of a plurality of different frequencies, for example, electrical signals of five different frequencies; the low frequency mode is to measure the impedance of the liver by a small number of electrical signals of different frequencies, for example, two electrical signals of different frequencies. For example, the low-frequency mode may be a single-frequency mode, i.e., measurement is performed by electrical signals of one frequency, or a dual-frequency mode, i.e., measurement is performed by electrical signals of two sets of frequencies. Illustratively, the frequency-less mode may be a single-frequency mode, i.e., measurement is performed by electrical signals of one frequency, or a dual-frequency mode, i.e., measurement is performed by electrical signals of two sets of frequencies. Illustratively, the multi-frequency mode may be to use electrical signals of 50KHz, 200KHz, 250KHz and 300KHz for measurement, or may also be to use electrical signals of other multiple frequencies for measurement, which is not limited herein; the frequency-reduced mode may be measured by using electrical signals of 50KHz and 250KHz, or may be measured by using electrical signals of other two frequencies, which is not limited herein. It will be appreciated that when measuring the impedance of the liver using electrical signals of different frequencies, the impedance of the liver may be calculated by the formula three or four described above.

When the impedance of the liver of the user is measured by using the electric signals with different frequencies, the impedance when the electric signals flow through the intracellular fluid in the body of the user and the impedance when the electric signals do not flow through the intracellular fluid in the body can be obtained, and then the impedance of the liver of the user can be measured from multiple dimensions, so that the detection accuracy is improved. Illustratively, the electrical signal may have a frequency of 50 kilohertz (kHz) and 250 kHz. The sequence of the electrical signals with different frequencies may be different, and is not limited herein; for example, the electrical signal of 50kHz is firstly generated and then the electrical signal of 250kHz is generated, or the electrical signal of 250kHz is firstly generated and then the electrical signal of 50kHz is generated. Wherein, because the frequency of the electric signal of 50kHz is lower, when using the electric signal of this frequency to measure, this electric signal is difficult to penetrate the intracellular fluid, namely the impedance of liver measured at this moment is the impedance when the electric signal does not flow through the intracellular fluid in the body; since the frequency of the 250kHz electrical signal is high, the electrical signal can penetrate the intracellular fluid when measured using the electrical signal of the frequency, i.e., the measured impedance of the liver is the impedance of the electrical signal when it flows through the intracellular fluid in the body. It will be appreciated that if the user is the first measurement, the handset 100 may suggest the user to use the multi-frequency mode measurement, for example, when the user is a newly registered user, the user may be suggested to use the multi-frequency mode measurement. In addition, the flow is not necessary, and may be adaptively selected, and is not limited herein. For example, when the user is the first measurement, the multi-frequency mode may be entered by default; or when the user is not measuring for the first time, the user can enter the frequency-less mode by default; alternatively, the selection is made according to a measurement mode preset by the user. For example, the multi-frequency mode may be to measure the impedance of the liver using electrical signals greater than or equal to three different frequencies, and the less-frequency mode may be to measure the impedance of the liver using electrical signals less than or equal to two different frequencies. The multi-frequency mode can be used for measuring the impedance of the liver by utilizing default n electric signals with different frequencies, wherein n is a positive integer greater than or equal to 3; the less frequent mode may be to measure the impedance of the liver using a default number r of electrical signals of different frequencies, r being a positive integer greater than or equal to 2. In addition, the low frequency mode may be to measure the impedance of the liver using r different frequency electrical signals selected according to the body type of the user. For example, the corresponding relationship between the body type of the user and r electrical signals with different frequencies may be preset, and after the body type of the user is determined, the required r electrical signals with different frequencies may be determined according to the corresponding relationship; wherein, the body type of the user can be determined according to the height and the weight of the user. For example, as shown in table two, the preset correspondence between the body type of the user and the r electrical signals with different frequencies may be: when the body shape of the user is thin, the electric signals of 50KHz and 500KHz can be selected; when the body type of the user is normal, the electric signals of 50KHz and 200KHz can be selected; when the body type of the user is fat, the electric signals of 50KHz and 300KHz can be selected.

Watch two

Thereafter, the mobile phone 100 may proceed to a procedure of formally measuring the impedance of the liver. As shown in fig. 14 (E), the mobile phone 100 may display prompt information for measuring the upper limb impedance, such as: please operate as follows: (1) The index finger and the middle finger of the right hand are respectively placed at the electrode on the lower side surface of the mobile phone; (2) The left index finger and the middle finger are respectively placed at the electrodes on the right side of the mobile phone. After the interface shown in fig. 14 (E) is displayed on the mobile phone 100, the mobile phone 100 may generate the current required for detection; in addition, the mobile phone 100 may also generate the current of one or more different frequencies required for detection before displaying the interface, which is not limited herein.

After detecting the upper limb impedance or determining the current and voltage data required by the upper limb impedance, the mobile phone 100 may prompt the user that the upper limb impedance has been detected by voice. Thereafter, the mobile phone 100 may display the interface as shown in fig. 14 (F), i.e., proceed to the procedure of detecting the liver-right upper limb impedance. In the interface shown in fig. 14 (F), prompt information for measuring the liver-right upper limb impedance may be displayed on the mobile phone 100, for example: please operate as follows: (1) The index finger and the middle finger of the right hand are respectively placed at the electrode on the right side surface of the mobile phone; (2) Placing the electrode on the lower side surface of the mobile phone at a position four centimeters above the navel, keeping for three seconds, moving to the right side for about four centimeters, and keeping for three seconds; because the navel position is easy to find, the prompting operation can be convenient for a user to accurately move the electrode on the mobile phone 100 to the lower side of the liver of the user, and the detection accuracy is improved. Wherein, when the user places the electrode on the lower side of the mobile phone four centimeters above the navel and keeps for three seconds, the mobile phone 100 can measure an impedance (referred to as "impedance one"); when the user moves the electrode on the lower side of the mobile phone four centimeters to the right side from a position four centimeters right above the navel and holds for three seconds, the mobile phone 100 can measure another impedance (referred to as "impedance two" for short). Wherein, the second impedance can be understood as the liver-right upper limb impedance, and the first impedance can be understood as the navel-right upper limb impedance.

After detecting the liver-right upper limb impedance or determining the current and voltage data required by the liver-right upper limb impedance, the mobile phone 100 may prompt the user that the liver-right upper limb impedance has been detected by voice. Thereafter, the mobile phone 100 may display an interface as shown in fig. 14 (G), i.e., proceed to the procedure of detecting the liver-left upper limb impedance. In the interface shown in fig. 14 (G), prompt information for measuring the liver-left upper limb impedance, such as: please operate as follows: (1) The left index finger and the middle finger are respectively placed at the electrode on the right side surface of the mobile phone; (2) The electrode on the lower side of the mobile phone is placed at a position four centimeters above the navel, the mobile phone moves to the right side by about four centimeters after three seconds, and the mobile phone continues to be kept for three seconds. Wherein, when the user places the electrode on the lower side of the mobile phone right above the navel for three seconds, the mobile phone 100 can measure an impedance (referred to as "impedance three" for short); when the user moves the electrode on the lower side of the cellular phone four centimeters to the right side from a position four centimeters right above the navel and holds for three seconds, the cellular phone 100 can measure another impedance (referred to as "impedance four" for short). The fourth impedance can be understood as liver-left upper limb impedance, and the third impedance can be understood as navel-left upper limb impedance. After obtaining the first impedance and the third impedance, the mobile phone 100 may correct the calculated liver impedance when calculating the liver impedance based on the liver-right upper limb impedance and the liver-left upper limb impedance. In general, in an ideal state, the impedance from the left upper limb to the navel and the impedance from the right upper limb to the navel are generally the same, and therefore, the measured impedance of the liver is corrected based on the impedance from the left upper limb to the navel and the impedance from the right upper limb to the navel. Illustratively, the measured impedance of the liver may be corrected by the impedance difference between the impedance of the left upper limb to the navel and the impedance of the right upper limb to the navel. For example, the correspondence relationship between the difference in impedance between the impedance from the left upper limb to the navel and the impedance from the right upper limb to the navel and the correction coefficient may be set in advance, and then, after the corresponding difference in impedance is determined, the corresponding correction coefficient may be determined, and the calculated liver impedance may be corrected using the correction coefficient.

After detecting the liver-left upper limb impedance or determining the current and voltage data required by the liver-left upper limb impedance, the mobile phone 100 may prompt the user with a voice that the liver-left upper limb impedance has been detected. Thereafter, the mobile phone 100 may display an interface as shown in fig. 14 (H), and proceed to a process of determining a risk level of the liver based on the waist circumference, hip circumference, upper limb impedance, liver-right upper limb impedance, and liver-left upper limb impedance.

When the mobile phone 100 determines the liver risk level, the mobile phone 100 may display an interface as shown in fig. 14 (I), that is, display the detection result to the user, and/or may prompt the user with voice that the detection is completed, or prompt the user with a combination of voice and text that the detection is completed. Further, after displaying the interface shown in fig. 14 (I), the mobile phone 100 may display the interpretation of the result, that is, the interface shown in fig. 14 (J). For example, when the risk of the user suffering from fatty liver is severe, the interpretation of the results may be: you have a severe risk of fatty liver, for your health please strictly control diet, especially the intake of grease and alcohol, and advise you to perform aerobic exercise for at least 1 hour per day; when the risk of the user suffering from fatty liver is moderate, the interpretation of the result can be: you have a moderate risk of fatty liver, please control diet, especially the intake of grease and wine, and advise you to do aerobic exercise every day for your health; when the risk of the user suffering from fatty liver is mild, the interpretation of the results can be: you have a mild fatty liver risk, please eat a reasonable diet for your health, and exercise appropriately, and control the intake of alcohol. In addition, the mobile phone 100 may display the detection result, and may also broadcast the detection result by voice.

Further, after displaying the interface shown in (J) of fig. 14, the mobile phone 100 may further display an interface shown in (K) of fig. 14, so that the user may select whether to use the infrequent mode measurement for M days (e.g., 30 days, etc.) in the future. It is understood that the flow is not required, and may be adaptively selected, and is not limited herein.

It is to be understood that the measurement actions conducted by the user in the measurement process are only illustrative and do not constitute a limitation to the present solution. In the measuring process, a user can select the electrode contacted by the finger or other parts of the body according to the convenience of operation, for example, the user can select to turn over the mobile phone and then measure, at the moment, the user can touch the electrode at the bottom of the mobile phone by the finger and touch the electrode at the side part of the mobile phone by other parts of the body.

It should be noted that each display interface shown in fig. 14 is only an illustrative example, and does not constitute a limitation on the present embodiment, and may be selected as needed, or may be redrawn or added as needed, and is not limited here. In addition, each step in fig. 14 may also be adaptively selected, and is not limited herein.

It can be understood that, in fig. 14, in addition to measuring the waist and hip circumferences and then measuring the impedance of the liver, the impedance of the liver may be measured first and then the waist and hip circumferences are measured, at this time, the interface for measuring the impedance of the liver may be displayed first on the mobile phone 100, and then the interface for measuring the waist and hip circumferences may be displayed specifically according to actual situations, which is not limited herein.

It is understood that in the embodiment of the present application, in addition to the determination of the liver risk level by the liver impedance as described above, the liver risk level may also be determined according to the upper limb impedance determined in fig. 5 (a), as described in detail below.

For example, after the upper limb of the user is determined by the mobile phone 100, other physiological parameters of the user, such as the body fat rate, the amount of visceral fat in the trunk, the amount of fat in the trunk, etc., can be obtained according to the impedance of the upper limb. In one example, the upper limb impedance may also be referred to as a first physiological parameter, the left hand finger of the user depicted in FIG. 6 may also be referred to as a first location, and the right hand finger of the user may also be referred to as a second location. In one example, the physiological parameters such as body fat rate, visceral fat mass in the trunk, and fat mass of the trunk may also be referred to as the second physiological parameter.

Illustratively, the body fat ratio can be calculated by the following formula. The formula (hereinafter referred to as "formula five") is:

BFR＝α ₁ R+α ₂ formula five

Wherein BFR is body fat rate; r is the upper limb impedance; alpha (alpha) ("alpha") ₁ And alpha ₂ The coefficient is a predetermined coefficient and can be obtained by experiment.

Further, when the impedance of the upper limb is measured by currents of a plurality of different frequencies, the body fat ratio can be calculated by the following formula. The formula (hereinafter referred to as "formula six") is:

BFR＝α ₁ R ₁ +α ₂ R ₂ +α ₃ formula six

Wherein BFR is body fat rate; r is ₁ And R ₂ The measured upper limb impedance is the upper limb impedance under the current of different frequencies; alpha (alpha) ("alpha") ₁ 、α ₂ And alpha ₃ The coefficient is a predetermined coefficient and can be obtained by experiment. It will be appreciated that when the number of measured upper limb impedances at different frequencies of current is greater than or equal to three, "α" may be added to equation two _n R _n ", wherein R _n Is the upper limb impedance, alpha, measured at a current of the nth frequency _n Is R _n The corresponding predetermined coefficients may be obtained experimentally.

The visceral fat amount in the trunk can be calculated by the following formula. The formula (hereinafter referred to as "formula seven") is:

X＝β ₁ R+β ₂ formula seven

Wherein X is the amount of visceral fat in the trunk; r is the upper limb impedance; beta is a beta ₁ And beta ₂ The coefficient is a predetermined coefficient and can be obtained by experiment.

Further, when the upper limb impedance is measured by currents of a plurality of different frequencies, the visceral fat amount in the trunk can be calculated by the following formula. The formula (hereinafter referred to as "formula eight") is:

X＝β ₁ R ₁ +β ₂ R ₂ +β ₃ equation eight

Wherein X is the amount of visceral fat in the torso; r is ₁ And R ₂ The measured upper limb impedance under the current of different frequencies; beta is a ₁ 、β ₂ And beta ₃ The coefficient is a predetermined coefficient and can be obtained by experiment. It is understood that when the number of upper limb impedances measured at currents of different frequencies is greater than or equal to three, "β" may be added to equation four _n R _n ", wherein R _n Is the upper limb impedance, β, measured at a current of the nth frequency _n Is R _n The corresponding predetermined coefficients may be obtained experimentally.

The fat amount of the trunk can be calculated by the following formula. The formula (hereinafter referred to as "formula nine") is:

P＝θ ₁ R+θ ₂ formula nine

Wherein, P is the fat mass of the trunk; r is the upper limb impedance; theta ₁ And theta ₂ The coefficient is a predetermined coefficient and can be obtained by experiment.

Further, when the impedance of the upper limbs is measured by a plurality of currents of different frequencies, the fat amount of the trunk can be calculated by the following formula. The formula (hereinafter referred to as "formula ten") is:

P＝θ ₁ R ₁ +θ ₂ R ₂ +θ ₃ equation of ten

Wherein, P is the fat mass of the trunk; r is ₁ And R ₂ The measured upper limb impedance under the current of different frequencies; theta.theta. ₁ 、θ ₂ And theta ₃ The coefficient is a predetermined coefficient and can be obtained by experiment. It is understood that when the number of upper limb impedances measured at currents of different frequencies is greater than or equal to three, "θ" may be added to equation six _n R _n ", wherein R _n θ is the upper limb impedance measured at the nth frequency _n Is R _n The corresponding predetermined coefficients may be obtained experimentally.

For example, when physiological parameters such as a body fat rate, an amount of visceral fat in the trunk, and an amount of fat in the trunk are obtained from the upper limb impedance, the physiological parameters may be determined in accordance with body parameters such as the height of the user.

At this time, the body fat ratio can be calculated by the following equation in combination with the height of the user. The formula (hereinafter referred to as "formula eleven") is:

BFR＝α ₁ R+α ₂ H+α ₃ formula eleven

Wherein BFR is body fat rate; r is the upper limb impedance; h is height; alpha is alpha ₁ 、α ₂ And alpha ₃ The coefficient is a predetermined coefficient and can be obtained by experiment.

Further, when the impedance of the upper limbs is measured by currents of a plurality of different frequencies, the body fat ratio can be calculated by the following formula in conjunction with the height of the user. The formula (hereinafter referred to as "formula twelve") is:

BFR＝α ₁ R ₁ +α ₂ R ₂ +α ₃ H+α ₄ formula twelve

Wherein BFR is body fat rate; r ₁ And R ₂ The measured upper limb impedance under the current of different frequencies; alpha is alpha ₁ 、α ₂ 、α ₃ And alpha ₄ The coefficient is a predetermined coefficient and can be obtained by experiment. It will be appreciated that when the number of measured upper limb impedances at different frequencies of current is greater than or equal to three, "α" may be added to equation two _n R _n ", wherein R _n Is the upper limb impedance, a, measured at a current of the nth frequency _n Is R _n The corresponding preset coefficient can be selected fromAnd (6) obtaining an experiment.

The visceral fat mass in the trunk can be calculated by the following formula in conjunction with the height of the user. The formula (hereinafter referred to as "formula thirteen") is:

X＝β ₁ R+β ₂ H+β ₃ equation thirteen

Wherein X is the amount of visceral fat in the trunk; r is the upper limb impedance; beta is a beta ₁ 、β ₂ And beta ₃ The coefficient is a predetermined coefficient and can be obtained by experiment.

Further, when the upper limb impedance is measured by a plurality of currents of different frequencies, the amount of visceral fat in the trunk can be calculated by the following formula in conjunction with the height of the user. The formula (hereinafter referred to as "formula fourteen") is:

X＝β ₁ R ₁ +β ₂ R ₂ +β ₃ H+β ₄ fourteen formula

Wherein X is the amount of visceral fat in the trunk; r is ₁ And R ₂ The measured upper limb impedance is the upper limb impedance under the current of different frequencies; beta is a beta ₁ 、β ₂ 、 β ₃ And beta ₄ The coefficient is a predetermined coefficient and can be obtained by experiment. It will be appreciated that when the number of measured upper limb impedances at different frequencies of current is greater than or equal to three, "β" may be added to equation four _n R _n ", wherein R _n Is the upper limb impedance, beta, measured at a current of the nth frequency _n Is R _n The corresponding predetermined coefficients may be obtained experimentally.

The fat amount of the trunk can be calculated by the following formula in combination with the height of the user. The formula (hereinafter referred to as "formula fifteen") is:

P＝θ ₁ R+θ ₂ H+θ ₃ formula fifteen

Wherein P is the fat mass of the trunk; r is the upper limb impedance; theta ₁ 、θ ₂ And theta ₃ The coefficient is a predetermined coefficient and can be obtained by experiment.

Further, when the impedance of the upper limbs is measured by a plurality of currents of different frequencies, the fat amount of the trunk can be calculated by the following formula in combination with the height of the user. The formula (hereinafter referred to as "formula sixteen") is:

P＝θ ₁ R ₁ +θ ₂ R ₂ +θ ₃ H+θ ₄ formula sixteen

Wherein P is the fat mass of the trunk; r ₁ And R ₂ The measured upper limb impedance under the current of different frequencies; theta ₁ 、θ ₂ 、θ ₃ And theta ₄ The coefficient is a predetermined coefficient and can be obtained by experiment. It will be appreciated that when the number of measured upper limb impedances at different frequencies of current is greater than or equal to three, "θ" may be added to equation six _n R _n ", wherein R _n Is the upper limb impedance, θ, measured at a current of the nth frequency _n Is R _n The corresponding predetermined coefficients may be obtained experimentally.

Further, after obtaining physiological parameters such as body fat rate, visceral fat mass in the trunk, and fat mass of the trunk, the fat content of the liver of the user can be determined in combination with the Body Mass Index (BMI) of the user. Wherein the BMI = W/H of the user ₂ Wherein W is the weight and H is the height.

Illustratively, the fat content of the user's liver may be calculated by the following formula. The formula (hereinafter referred to as "formula seventy") is:

M＝γ ₁ BMI+γ ₂ BFR+γ ₃ X+γ ₄ P+γ ₅ seventeen formula

Wherein M is the fat content of the liver; BMI is body mass index; BFR is body fat rate; x is the visceral fat mass in the trunk; p is the fat mass of the trunk; gamma ray ₁ 、γ ₂ 、γ ₃ 、γ ₄ And gamma ₅ The coefficient is a predetermined coefficient and can be obtained by experiment. It should be understood that the parameters in formula thirteen (e.g., BMI, BFR, X, P, etc.) can be selected as needed, and are not limited herein.

In addition, when calculating the fat content of the liver of the user, the calculation may be performed in conjunction with the waist circumference of the user. At this time, the fat content of the user's liver may be calculated by the following formula. The formula (hereinafter referred to as "formula eighteen") is:

wherein M is the fat content of the liver; BMI is body mass index; BFR is body fat rate; x is the visceral fat mass in the trunk; p is the fat mass of the trunk; l is waist circumference; h is height; Δ T is a time difference between the times of waist circumference taken for two times when the waist circumference taken for this time is different from the waist circumference taken for the previous time, wherein Δ T may be 0 when the waist circumference taken for this time is the same as the waist circumference taken for the previous time, or the time difference between the times of waist circumference taken for two times exceeds a preset time threshold or the waist circumference measurement is taken for the first time; gamma ray ₁ 、γ ₂ 、γ ₃ 、γ ₄ 、γ ₅ 、γ ₆ 、γ ₇ And gamma ₈ The coefficient is a preset coefficient and can be obtained by experiment. It is understood that the parameters in the formula fourteen (for example, BMI, BFR, X, P, L, H, Δ T, etc.) can be selected according to the requirement, and are not limited herein. In one example, waist circumference and/or height may also be referred to as a fourth physiological parameter.

After the fat content of the liver is obtained, the risk level of the liver of the user can be determined based on the corresponding relationship between the fat content of the liver and the risk level of the liver. For example, the preset correspondence relationship between the fat content of the liver and the risk level of the liver may be as shown in table one, and when the fat content of the liver is determined to be "5", the risk level of the liver at this time is "suspected risk" as can be seen from table one. In one example, the fat content of the liver or the liver risk level may also be referred to as a third physiological parameter.

Watch 1

Fat content of liver	Liver risk rating
		0～4	Is normal and normal
4～7	Suspected risk
		7～10	High and high risk

It can be understood that, in the process of measuring the risk level of the liver through the upper limb impedance, the interface displayed on the mobile phone 100 may refer to the interface shown in fig. 14, where at this time, the interface displayed on the mobile phone 100 may be directly switched from (E) of fig. 14 to (H) of fig. 14, and the subsequent interfaces are displayed, that is, the interfaces shown in (F) and (G) of fig. 14 are omitted, and the detailed display process is described above and will not be described again here. It can be understood that, in the embodiment of the present application, besides displaying the risk level of the liver, the mobile phone 100 may also display the physiological parameters of the user, such as the body fat rate, so that the user can know the physiological parameters of the user, such as the body fat rate.

It is understood that the processor in the embodiments of the present application may be a Central Processing Unit (CPU), other general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), other programmable logic devices (programmable gate array), a transistor logic device, a hardware component, or any combination thereof. The general purpose processor may be a microprocessor, but may be any conventional processor.

The method steps in the embodiments of the present application may be implemented by hardware, or may be implemented by a processor executing software instructions. The software instructions may consist of corresponding software modules that may be stored in Random Access Memory (RAM), flash memory, read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), registers, a hard disk, a removable hard disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an ASIC.

In the above embodiments, all or part of the implementation may be realized by software, hardware, firmware, or any combination thereof. When implemented in software, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions described in accordance with the embodiments of the application are all or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable devices. The computer instructions may be stored on or transmitted over a computer-readable storage medium. The computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), among others.

It is to be understood that the various numerical references referred to in the embodiments of the present application are merely for convenience of description and distinction and are not intended to limit the scope of the embodiments of the present application.

Claims

1. A physiological parameter detection method is applied to an electronic device, wherein the electronic device is provided with a first group of electrodes and a second group of electrodes, the first group of electrodes are positioned on a first surface of the electronic device, and the second group of electrodes are positioned on a second surface of the electronic device; wherein the first surface and the second surface are different sides of the electronic device; the method comprises the following steps:

detecting a first operation;

displaying a first user interface in response to the first operation, the first user interface instructing a user to contact a first site and a second site with a first group of electrodes and a second group of electrodes, respectively, to turn on the first group of electrodes and the second group of electrodes;

generating a first current having a first current value when the first and second sets of electrodes are on;

determining a first voltage value between the first set of electrodes and the second set of electrodes;

determining a first physiological parameter according to the first current value and the first voltage value;

displaying a second user interface instructing a user to contact the first site and the third site with the first group of electrodes and the second group of electrodes, respectively, to turn on the first group of electrodes and the second group of electrodes;

generating a second current having a second current value when the first and second sets of electrodes are on;

determining a second voltage value between the first set of electrodes and the second set of electrodes;

determining a second physiological parameter according to the second current value and the second voltage value;

and determining a third physiological parameter according to the first physiological parameter and the second physiological parameter.

2. The method of claim 1, further comprising, after determining a second physiological parameter from the second current value and the second voltage value: displaying a third user interface instructing a user to contact a second site, a third site, with a first set of electrodes and a second set of electrodes, respectively, to turn on the first set of electrodes and the second set of electrodes;

generating a third current having a third current value when the first and second sets of electrodes are on;

determining a third voltage value between the first set of electrodes and the second set of electrodes;

determining a fourth physiological parameter according to the third current value and the third voltage value;

determining a third physiological parameter according to the first physiological parameter and the second physiological parameter specifically includes: and determining the third physiological parameter according to the first physiological parameter, the second physiological parameter and the fourth physiological parameter.

3. The method according to claim 1 or 2, characterized in that the method further comprises:

detecting a second operation;

in response to the second operation, displaying a fourth user interface that instructs a user to place the electronic device on a first area on the user's body and to move along the first area;

detecting, by a sensor in the electronic device, motion data of the electronic device;

obtaining a first body parameter of the user according to the motion data;

determining the fifth physiological parameter according to the first body parameter, the first physiological parameter and the second physiological parameter.

4. The method of claim 3, wherein obtaining the first body parameter of the user according to the motion data specifically comprises:

according to the motion data, determining a starting point, a middle stopping point and an ending point of the motion of the electronic equipment, and determining motion time of n motion stages between the starting point and the ending point, wherein n is a positive integer greater than or equal to 1;

determining a motion component of the electronic equipment in at least one direction in a space coordinate system according to the motion data and the motion time of the n motion phases;

and obtaining a first body parameter according to the motion component in the at least one direction.

5. The method of any one of claims 1-4, wherein a target current is generated, the target current having a target current value;

determining a target voltage value between the first set of electrodes and the second set of electrodes;

determining a target physiological parameter from the target current value and the target voltage value, further comprising:

generating m currents with frequencies, wherein m is a positive integer greater than or equal to 2, the current values of the currents with different frequencies are the target current values at different generation moments;

determining voltage values between the first group of electrodes and the second group of electrodes under currents of different frequencies to obtain m voltage values, wherein one voltage value corresponds to a current of one frequency;

determining the target physiological parameter according to the current value of the target current and the m voltage values;

wherein the target current is the first current, the target current value is the first current value, the target voltage value is the first voltage value, and the target physiological parameter is the first physiological parameter; or, the target current is the second current, the target current value is the second current value, the target voltage value is the second voltage value, and the target physiological parameter is the second physiological parameter; or, the target current is the third current, the target current value is the third current value, the target voltage value is the third voltage value, and the target physiological parameter is the fourth physiological parameter.

6. The method of any of claims 1-5, wherein the first set of electrodes is integrated on physical keys on the first surface and/or the second set of electrodes is integrated on physical keys on the second surface.

7. The method of any one of claims 1-6, wherein the first set of electrodes comprises one electrode, and wherein the second set of electrodes comprises one electrode; or, the first group of electrodes comprises two electrodes, and the second group of electrodes comprises two electrodes.

8. An electronic device, comprising:

a first set of electrodes located on a first surface of the electronic device;

a second set of electrodes located on a second surface of the electronic device, the first surface and the second surface being different sides of the electronic device;

a memory storing a computer program;

a processor in electrical connection with the first set of electrodes and the second set of electrodes;

wherein the computer program stored in the memory, when executed by the processor, causes the electronic device to perform the method of any of claims 1-7.

9. Electronic device according to claim 8, characterized in that the first set of electrodes is integrated on physical keys on the first surface and/or the second set of electrodes is integrated on physical keys on the second surface.

10. The electronic device of claim 8 or 9, wherein the first set of electrodes comprises one electrode, and the second set of electrodes comprises one electrode; or, the first group of electrodes comprises two electrodes, and the second group of electrodes comprises two electrodes.

11. The electronic device of any of claims 8-10, further comprising a sensor configured to detect motion data of the electronic device.

12. A computer storage medium having stored therein instructions that, when executed on a computer, cause the computer to perform the method of any of claims 1-7.

13. A computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of any one of claims 1-7.