WO2019000338A1

WO2019000338A1 - Physiological information measurement method, and physiological information monitoring apparatus and device

Info

Publication number: WO2019000338A1
Application number: PCT/CN2017/090912
Authority: WO
Inventors: 牛洋洋
Original assignee: 深圳和而泰智能控制股份有限公司
Priority date: 2017-06-29
Filing date: 2017-06-29
Publication date: 2019-01-03
Also published as: CN108697352B; CN108697352A

Abstract

A physiological information measurement apparatus (20), a physiological information measurement method, a storage medium (231), and a physiological information measurement device. The physiological information monitoring apparatus (20) comprises a piezoelectric sensor (21) and a control processing unit (23). The control processing unit (23) is used for acquiring, on the basis of heartbeat and respiratory electrical signals, digitalized first heartbeat and respiratory sample signals (101); performing autocorrelation processing on the first heartbeat and respiratory sample signal, so as to obtain second heartbeat and respiratory sample signals, the time window of the autocorrelation processing being T, and the value of T being greater than or equal to a preset heartbeat cycle T1 and being less than a preset respiratory cycle T2 (102); and obtaining heart rate information according to the second heartbeat and respiratory sample signals (103). The physiological information monitoring device (20) can obtain accurate heart rate information. Therefore, the invention can receive heartbeat and respiratory signals by using only one piezoelectric sensor (21), saving hardware costs. In addition, the position for placing the piezoelectric sensor (21) is not limited, providing flexible and convenient use.

Description

Physiological information measuring method and physiological information monitoring device and device

Technical field

The embodiments of the present invention relate to physiological information monitoring technologies, and in particular, to a physiological information monitoring device, a physiological information measuring method, a storage medium, and a physiological information monitoring device.

Background technique

Sleep monitoring technology has become an indispensable part of modern medical diagnosis. At present, the main means of clinical sleep analysis is to analyze polysomnography, but the generation of polysomnography requires at least more than ten electrodes to be attached to the body, which brings a certain physiological and psychological load to the subject, which in turn affects the quality of sleep. A sleep monitoring product based on a piezoelectric film (Polyvinylidene Fluoride, PVDF) sensor has emerged. This type of product can record the physical activity, respiratory activity, heart rate, etc. of the subject without sticking electrodes on the body surface.

In the process of implementing the present application, the inventors have found that at least the following problems exist in the related art: due to the characteristics of the piezoelectric film sensor itself, as long as there is a pressure change, it is converted into a corresponding electrical signal. When a piezoelectric thin film sensor is used to collect a physiological characteristic signal of a human body, both heartbeat and breathing exert pressure on it. Therefore, the collected respiratory and heart rate signals interfere with each other, and the respiratory signal interferes more with the heart rate signal, thereby affecting the accuracy of calculating the heart rate.

Summary of the invention

The purpose of the present application is to provide a physiological information monitoring device, a physiological information measuring method, a storage medium, and a physiological information monitoring device, which can accurately output heart rate information.

To achieve the above objective, in a first aspect, an embodiment of the present application provides a physiological information monitoring apparatus, where the apparatus includes:

a piezoelectric sensor for receiving a mechanical vibration pressure signal generated by human breathing and heart beat, and converting the mechanical vibration pressure signal into a heartbeat respiratory electric signal;

a control processing unit, configured to process the heartbeat respiratory electrical signal, the control processing unit comprising:

At least one processor and memory; wherein

The memory stores instructions executable by the at least one processor, the instructions being Executing by the at least one processor to enable the at least one processor to execute:

Obtaining a digitized first heartbeat breathing sampling signal based on the heartbeat respiratory electric signal, wherein the breathing signal is a periodic signal, the heartbeat signal is a periodic signal, and a period of the respiratory signal is greater than a period of the heartbeat signal;

Performing autocorrelation processing on the first heartbeat breathing sampling signal to obtain a second heartbeat breathing sampling signal, wherein the time window of the autocorrelation processing is T, and the value of the T is greater than or equal to a preset heartbeat period T1 and less than one Preset breathing cycle T2;

The heart rate information is obtained according to the second heartbeat breathing sampling signal, and the period of the second heartbeat breathing sampling signal is a period of the heartbeat signal.

Optionally, the processor of the control processing unit is further capable of:

Respiratory frequency information is obtained based on the first heartbeat breathing sampling signal.

Optionally, performing autocorrelation processing on the first heartbeat breathing sampling signal to obtain a second heartbeat breathing sampling signal, including:

Delaying the T by the first heartbeat breathing sampling signal to obtain a third heartbeat breathing sampling signal;

The first heartbeat breathing sampling signal is convoluted with the third heartbeat breathing sampling signal to obtain the second heartbeat breathing sampling signal.

Optionally, the piezoelectric sensor comprises a piezoelectric film sensor.

Optionally, the device further includes:

An analog signal processing unit, configured to receive the heartbeat respiratory electric signal sent by the piezoelectric sensor, perform analog signal preprocessing on the heartbeat respiratory electric signal, and then perform a heartbeat respiratory electric power preprocessed by the analog signal A signal is sent to the control processing unit.

In a second aspect, the embodiment of the present application further provides a physiological information measuring method for monitoring a device, where the method includes:

Obtaining a first heartbeat breathing sampling signal, the breathing signal is a periodic signal, the heartbeat signal is a periodic signal, and a period of the respiratory signal is greater than a period of the heartbeat signal;

Performing autocorrelation processing on the first heartbeat breathing sampling signal to obtain a second heartbeat breathing sampling signal, wherein the time window of the autocorrelation processing is T, and the value of the T is greater than or equal to a preset heartbeat period T1 and less than one a preset breathing period T2, wherein a period of the second heartbeat breathing sampling signal is a period of the heartbeat signal;

Heart rate information is obtained from the second heartbeat breathing sampling signal.

Delaying the first heartbeat breathing sampling signal by the time T to obtain a third heartbeat breathing sampling signal;

Optionally, the method further includes: obtaining respiratory frequency information according to the first cardiac breath sampling signal.

In a third aspect, the embodiment of the present application further provides a storage medium, where the storage medium stores executable instructions, and the executable instructions are adapted to be loaded by a processor and execute the foregoing method.

In a fourth aspect, the embodiment of the present application further provides a physiological information monitoring device, where the physiological information monitoring device includes:

Monitoring the body for carrying parts of the human body or the human body;

In the above physiological information monitoring device, the piezoelectric sensor in the physiological information monitoring device is disposed in the monitoring body.

In a fifth aspect, the embodiment of the present application further provides a program product, where the program product includes a program stored on a storage medium, where the program includes program instructions, when the program instruction is executed by the monitoring device, The monitoring device performs the method described above.

The physiological information monitoring device, the physiological information measuring method, the storage medium and the physiological information monitoring device provided by the embodiments of the present application perform autocorrelation processing on the heartbeat breathing sampling signals that interfere with each other, and according to the heartbeat breathing sampling signal after the autocorrelation processing Get heart rate information. Since the autocorrelation function has a period constant of the autocorrelation function of the periodic signal and the autocorrelation function of the aperiodic signal does not have periodic characteristics. By selecting the auto-correlation processing delay time T greater than or equal to a preset heartbeat period T1 is less than a preset breathing period T2, the autocorrelation processed signal only retains the heartbeat period, and the interference of the respiratory signal to the heart rate signal is excluded. Thereby obtaining accurate heart rate information.

DRAWINGS

The one or more embodiments are exemplified by the accompanying drawings in the accompanying drawings, and FIG. The figures in the drawings do not constitute a scale limitation unless otherwise stated.

1a is a schematic structural view of a sleep monitoring device in the prior art;

1b is a schematic structural view of a circuit portion of an embodiment of a physiological information monitoring apparatus of the present application;

2 is a schematic structural diagram of a physiological information monitoring device provided by an embodiment of the present application;

3 is a waveform diagram of a heartbeat respiratory signal that interferes with each other;

4 is a waveform diagram of a heartbeat signal and a respiratory signal that are not interfered with each other;

5 is a schematic flowchart of a physiological information measuring method provided by an embodiment of the present application;

6 is a schematic diagram of a processing procedure for performing autocorrelation processing on an interference signal according to an embodiment of the present application;

7 is a schematic flow chart of a physiological information measuring method provided by an embodiment of the present application;

FIG. 8 is a schematic structural diagram of a physiological information measuring apparatus according to an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present application. It is a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without departing from the inventive scope are the scope of the present application.

The embodiment of the present application proposes a physiological information monitoring scheme based on an autocorrelation function, which is applicable to the physiological information monitoring device shown in FIG. 1b, which uses a piezoelectric thin film sensor to measure mechanical vibration pressure signals generated by human breathing and heart beat. And converting the mechanical vibration pressure signal into a heartbeat respiratory electric signal, the heartbeat respiratory electric signal is an analog signal; the hardware circuit signal processing unit is configured to perform amplification and filtering on the heartbeat respiratory electric signal, and the micro control unit ( The Microcontroller Unit (MCU) algorithm processing unit performs autocorrelation processing on the amplified heartbeat respiratory electric signal by using an autocorrelation algorithm to obtain accurate heart rate information and respiratory information. This solution can reduce hardware costs and greatly improve the accuracy of piezoelectric film sensor products in measuring human breathing and heart rate. The program can be applied to sleep detection equipment such as mattresses, pillows, heart rate monitoring equipment or other devices that need to measure heart rate.

As shown in FIG. 2, the embodiment of the present application provides a physiological information monitoring device, which includes: a monitoring body 10 and a physiological information monitoring device 20, the physiological information monitoring device 20 includes a piezoelectric sensor 21, and analog signal processing. Unit 22 and control processing unit 23. The monitoring body 10 is used to carry a part of a human body or a human body, such as a mattress or a pillow. Piezoelectric sensor 21 can be placed on the monitoring body 10, for receiving a mechanical vibration pressure signal generated by human breathing and heart beat, and converting the mechanical vibration pressure signal into a heartbeat respiratory electric signal.

Optionally, in some embodiments of the present application, the physiological monitoring device 20 may further include an analog signal processing unit 22, configured to receive a heartbeat respiratory electrical signal sent by the piezoelectric sensor, and to the cardiac electrical signal The analog signal preprocessing is performed. Specifically, the analog signal preprocessing includes analog signal processing such as analog amplification processing and filtering processing. Optionally, in an embodiment of the present application, the analog signal processing unit 22 may include an analog amplifying subunit 221 for performing analog amplification processing on the heartbeat respiratory electrical signal, and an analog filtering subunit 222 for The heartbeat respiratory electrical signal is subjected to filtering processing. The control processing unit 23 is configured to receive a heartbeat respiratory electrical signal and process the cardiac electrical respiratory signal to output heart rate information.

Optionally, the control processing unit 23 can adopt an MCU controller or a digital signal processing (DSP) controller. The control processing unit 23 includes at least one processor 232 (illustrated by one processor in FIG. 2) and a memory 231, wherein the memory 231 may be built in the control processing unit 23 or external to the control processing unit 23, The memory 231 may also be a remotely located memory that is connected to the control processing unit 23 via a network. The processor 232 and the memory 231 may be connected by a bus or other means, as exemplified by a bus connection in FIG.

The memory 231 may include a storage program area and an storage data area, wherein the storage program area may store an operating system, an application required by at least one function; and the storage data area may store data created in a process of monitoring the device using the physiological information. Wait. Further, the memory 231 may include a high speed random access memory, and may also include a nonvolatile memory such as at least one magnetic disk storage device, a flash memory device, or other nonvolatile solid state storage device.

Optionally, in some embodiments, the piezoelectric sensor may select a piezoelectric film sensor or other piezoelectric sensor, and the piezoelectric film sensor is sensitive to pressure change of mechanical vibration, and is often used in the medical field. Measurement of biological parameters of the human body. However, whether it is a piezoelectric film sensor or other piezoelectric sensor, as long as there is pressure change, it will be converted into a corresponding electrical signal. When collecting physiological signals of the human body, heartbeat and breathing will exert pressure on the piezoelectric sensor, so a pressure The electrical sensor collects heartbeat and respiratory signals that interfere with each other. As shown in FIG. 3, FIG. 3 shows heartbeat and respiratory signal waveforms that interfere with each other. The heartbeat signal and the respiratory signal are included in the heartbeat and respiratory signal waveforms shown in FIG. 3, and the included heartbeat signal and respiratory signal are shown in FIG. 4. FIG. 4 respectively shows the normal heartbeat signal waveforms of the human body which do not interfere with each other. And the respiratory signal waveform, wherein the top of Figure 4 is the heartbeat signal waveform, Below is the respiratory signal waveform.

As can be seen from Fig. 4, since the amplitude of the respiratory signal is relatively large, the frequency is relatively low, and the amplitude of the heartbeat signal is relatively small and the frequency is relatively high, so the influence of the respiratory signal on the heartbeat signal is far greater than the influence of the heartbeat signal on the respiratory signal, The accuracy of heart rate information is greatly affected. In response to this problem, the embodiment of the present application proposes a physiological information monitoring scheme based on an autocorrelation function for extracting accurate heart rate information from mutually interfered heartbeat respiratory electrical signals directly collected by a piezoelectric sensor.

In the embodiment of the present application, the memory 231 is a non-volatile computer readable storage medium, and can be used to store non-volatile software programs, instructions, such as necessary programs and instructions required to implement the solution of the present application. The processor 232 executes the following method by running non-volatile software programs, instructions, and modules stored in the memory 231 (please refer to FIG. 5):

Step 101: Acquire a first heartbeat breathing sampling signal, where the first heartbeat breathing sampling signal includes a respiratory signal and a heartbeat signal that interfere with each other;

In the embodiment of the present application, the breathing signal is a periodic signal, the heartbeat signal is a periodic signal, and the period of the breathing signal is greater than the period of the heartbeat signal.

Specifically, the processor 232 acquires the digitized first heartbeat breathing sampling signal based on the heartbeat respiratory electrical signal, that is, the processor 232 obtains the first heartbeat breathing sampling signal by performing analog-to-digital conversion processing on the simulated heartbeat respiratory electrical signal. The first heartbeat breathing sampling signal is a mutual interference heartbeat breathing sampling signal, and the first heartbeat breathing sampling signal includes a set of signal values corresponding to time;

The mutually disturbing heartbeat breathing sampling signal may be a signal as shown in FIG. 4, and each point on the curve corresponds to a signal value and a time value corresponding to the signal value.

Step 102: Perform autocorrelation processing on the first heartbeat respiratory sampling signal to obtain a second heartbeat respiratory sampling signal, where the time window of the autocorrelation processing is T, and the value of the T is greater than or equal to a preset heartbeat period T1. And less than a preset breathing cycle T2.

The preset heartbeat period T1 is determined based on a heartbeat period of a normal adult, and the preset breathing period T2 is determined based on a breathing period of a normal adult.

It can be understood that the period of the second heartbeat breathing sampling signal is the period of the heartbeat signal.

Step 103: Obtain heart rate information according to the second heartbeat breathing sampling signal.

The following is a description of the autocorrelation function.

Definition of correlation function: Let x(n) and y(n) be two energy-limited deterministic signals whose cross-correlation functions are:

This equation indicates that the value at time m is equal to the result that x(n) is not moved, and y(n) is shifted to the left by m sampling units, and the two sequences are multiplied and then added. If x(n) and y(n) are the same signal, ie x(n)=y(n), then the correlation function Rxx(m) (abbreviated as R(m)) is the autocorrelation function:

The autocorrelation function Rxx(m) reflects the similarity of the signal x(n) with x(n+m) after a delay.

The correlation function has the following properties:

(1) The autocorrelation function is an even function of m, and the cross-correlation function is not an even function of m, nor an odd function, but has Rxy(m)=Ryx(-m);

(2) Rxy(m) is satisfied

(3) The correlation function of the periodic signal is still the periodic signal of the same frequency;

(4) Two non-co-frequency periodic signals are uncorrelated;

(5) When the correlation coefficient of the two signals is equal to 1, the two signals are said to be coherent.

In the embodiment of the present application, autocorrelation processing is performed on the heartbeat breathing sampling signals that interfere with each other to eliminate the interference of the respiratory signal to the heartbeat signal, and the properties (3) and properties (4) of the above autocorrelation function are mainly used, that is, the periodic signal The period of the autocorrelation function is constant, and the autocorrelation function of the aperiodic function does not have periodicity.

Since the normal non-interfering heartbeat signal and respiratory signal are periodic signals, the normal adult heart rate range is 50 times/minute-100 times/minute, that is, the heartbeat period T1 ranges from 0.6 second to 1.2 seconds; the respiratory rate range It is 12 times/minute to 25 times/minute, that is, the respiratory cycle T2 ranges from 2.4 seconds to 5 seconds. If the delay time T is selected such that T is greater than or equal to the heartbeat period T1 being less than the breathing period T2, for example, T can be selected to be 1.5 seconds. Each signal value in the mutually disturbing heartbeat breathing sampling signal is autocorrelated with the signal value after the delay time T, and then the heartbeat breathing sampling signal subjected to the autocorrelation processing is obtained. Since there are 1 to 2 heartbeat periods T1 and 1.5 seconds < 2.4 seconds in the 1.5 second time window, that is, less than the minimum breathing period T2, there is no complete breathing period T2 within 1.5 seconds. Therefore, within a 1.5 second time window, there is a periodic heart rate signal and there is no periodic respiratory signal. According to the nature of the autocorrelation function, the autocorrelation processed signal only retains the heartbeat cycle, thus obtaining accurate heart rate information. The interference of the respiratory signal on the heart rate signal is excluded. Since the heartbeat signal has less influence on the respiratory signal, the respiratory frequency information can be obtained according to the heartbeat breathing sampling signal before the autocorrelation processing.

The embodiment of the present application performs autocorrelation processing on the heartbeat breathing sampling signals that interfere with each other, and obtains heart rate information according to the heartbeat breathing sampling signal after the autocorrelation processing. Since the autocorrelation function has a period constant of the autocorrelation function of the periodic signal and the autocorrelation function of the aperiodic signal does not have periodic characteristics. By selecting the auto-correlation processing delay time T is greater than or equal to a preset heartbeat period T1 and less than a preset breathing period T2, the auto-correlation processed heartbeat breathing sampling signal only retains the heartbeat period, and excludes the respiratory signal to the heart rate. The interference of the periodic information of the signal, thereby obtaining accurate heart rate information.

In the prior art, in order to obtain accurate heart rate information, two piezoelectric film sensors are used to collect the respiratory signal and the heartbeat signal, respectively. The test subject lies flat, the abdominal breathing movement is more obvious, a piezoelectric film sensor is placed in the abdomen position for collecting respiratory signals; the chest cavity is closer to the heart, and a piezoelectric film sensor is placed at the chest position to collect the heart rate signal. As shown in FIG. 1a, it is a conventional sleep monitoring device, wherein a first piezoelectric film sensor is located at a chest position of a human body for sensing a heart rate signal of a human body; and a second piezoelectric film sensor is located at an abdomen position of the human body, for Sensing the respiratory signal of the human body. The prior art uses two piezoelectric film sensors, which increases the cost of the product, and because of the special requirements for the placement of the piezoelectric film sensor, such as the position of the abdomen and the position of the chest, the application scenario of the product is limited, for example: Installed in products such as pillows.

The embodiment of the present application can collect the heartbeat breathing signal by using only one piezoelectric sensor under the premise of ensuring accurate measurement of the heart rate, thereby saving hardware cost. In addition, the placement position of the piezoelectric sensor is not limited, and the use is flexible and convenient.

Specifically, referring to FIG. 7, the auto-correlation processing is performed on the first heartbeat breathing sampling signal to obtain a second heartbeat breathing sampling signal, including:

Step 1021: The third heartbeat respiratory sampling signal is obtained by delaying the first heartbeat breathing sampling signal by T.

Step 1022: Convolution operation of the first heartbeat breathing sampling signal and the third heartbeat breathing sampling signal to obtain the second heartbeat breathing sampling signal.

In this embodiment, the autocorrelation function processing is performed using the following formula,

In other embodiments, other autocorrelation functions may also be used for autocorrelation processing. For the specific autocorrelation processing procedure, please refer to FIG. 6.

As shown in FIG. 6, the case where T is 1.5 seconds will be described as an example. First, the signal is intercepted by a time window of 1.5 seconds, and then the function value in each of the previous 1.5 second time window is processed by the autocorrelation function with the function value in the next 1.5 second time window to obtain a new autocorrelation processing. The heartbeat breathing sampling signal, that is, the second heartbeat breathing sampling signal. Among them, the T value can also be selected as 1.6 seconds or 1.8 seconds, as long as it is greater than or equal to 1.2 seconds and less than 2.4 seconds. In practical applications, in order to ensure that the heartbeat cycle after the autocorrelation process can retain the heartbeat cycle, the actual value of T can be slightly greater than 1.2 seconds.

Correspondingly, as shown in FIG. 5 and FIG. 7 , the embodiment of the present application further provides a physiological information measuring method for monitoring a device, where the method includes:

Step 101: Acquire a first heartbeat breathing sampling signal, where the first heartbeat breathing sampling signal includes a mutual interference breathing signal and a heartbeat signal, the breathing signal is a periodic signal, and the heartbeat signal is a periodic signal, and the respiratory signal is a period greater than a period of the heartbeat signal;

Step 102: Perform autocorrelation processing on the first heartbeat respiratory sampling signal to obtain a second heartbeat respiratory sampling signal, where the time window of the autocorrelation processing is T, and the value of the T is greater than or equal to a preset heartbeat period T1. And less than a preset breathing cycle T2, the period of the second heartbeat breathing sampling signal is a period of the heartbeat signal;

The embodiment of the present application performs autocorrelation processing on the heartbeat breathing sampling signals that interfere with each other, and obtains heart rate information according to the heartbeat breathing sampling signal after the autocorrelation processing. Since the autocorrelation function has a period constant of the autocorrelation function of the periodic signal and the autocorrelation function of the aperiodic signal does not have periodic characteristics. By selecting the auto-correlation processing delay time T greater than or equal to a preset heartbeat period less than a preset breathing period T2, the autocorrelation processed signal only retains the heartbeat period, thereby eliminating the interference of the respiratory signal to the heart rate signal, thereby Get accurate heart rate information. Therefore, it is possible to receive the heartbeat breathing signal using only one piezoelectric sensor, which saves the hardware cost. In addition, the piezoelectric sensor is placed at an unrestricted position and is flexible and convenient to use. Wherein, the monitoring device may be a sleep monitoring product, a heart rate monitoring product or other products that need to obtain heart rate information.

Specifically, the auto-correlation processing is performed on the first heartbeat breathing sampling signal to obtain a second heartbeat breathing sampling signal, including:

Step 1021: Delay the time T of the first heartbeat breathing sampling signal to obtain a third heartbeat breathing sampling signal.

The convolution operation is a multiplication and addition operation. The method embodiment is consistent with the method for processing the mutually interfered heartbeat breathing sampling signal performed by the control processing unit in the physiological information monitoring device, and is not in the method embodiment. For a detailed description of the technical details, refer to the method performed by the control processing unit in the physiological information monitoring device. The difference is that the above method embodiment can be used for other devices that need to obtain heart rate information in addition to the above physiological information monitoring device.

Optionally, in other embodiments of the method, the method further comprises obtaining respiratory frequency information based on the first cardiac breath sampling signal. Since the heartbeat signal has less influence on the respiratory signal, the respiratory frequency information can be obtained according to the heartbeat breathing sampling signal before the autocorrelation processing.

Correspondingly, as shown in FIG. 8, the embodiment of the present application further provides a physiological information measuring device, which is used for monitoring a device, and the device includes:

The signal sampling module 201 is configured to acquire a first heartbeat breathing sampling signal, where the first heartbeat breathing sampling signal includes a respiratory signal and a heartbeat signal that interfere with each other, the breathing signal is a periodic signal, and the heartbeat signal is a periodic signal. The period of the respiratory signal is greater than the period of the heartbeat signal;

The signal processing module 202 is configured to perform autocorrelation processing on the first heartbeat breathing sampling signal to obtain a second heartbeat breathing sampling signal, where the time window of the autocorrelation processing is T, and the value of the T is greater than or equal to one pre- Setting a heartbeat period T1 and less than a preset breathing period T2, and obtaining heart rate information according to the second heartbeat breathing sampling signal, the period of the second heartbeat breathing sampling signal being a period of the heartbeat signal.

Specifically, the signal processing module 202 is specifically configured to:

It should be noted that the above-mentioned physiological information measuring apparatus can perform the physiological information measuring method provided by the embodiment of the present application, and has the corresponding functional modules and beneficial effects of the performing method. Not measuring physiological information For a detailed description of the technical details in the device embodiments, reference may be made to the physiological information measurement method provided by the embodiments of the present application.

Embodiments of the present application provide a storage medium storing executable instructions that are suitable for being loaded and executed by a processor:

Obtaining a first heartbeat breathing sampling signal, where the first heartbeat breathing sampling signal includes a respiratory signal and a heartbeat signal that interfere with each other, the breathing signal is a periodic signal, and the heartbeat signal is a periodic signal, and the period of the respiratory signal is greater than The period of the heartbeat signal;

The embodiment of the present application further provides a program product, the program product comprising a program stored on a storage medium, the program comprising program instructions, when the program instruction is executed by the monitoring device, causing the monitoring device to perform the above Methods.

The embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, ie may be located in one Places, or they can be distributed to multiple network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

Through the description of the above embodiments, those skilled in the art can clearly understand that the embodiments can be implemented by means of software plus a general hardware platform, and of course, by hardware. A person skilled in the art can understand that all or part of the process of implementing the above embodiments can be completed by a computer program to instruct related hardware, and the program can be stored in a computer readable storage medium. When executed, the flow of an embodiment of the methods as described above may be included. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), or a random storage. Memory access memory (RAM), etc.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and are not limited thereto; in the idea of the present application, the technical features in the above embodiments or different embodiments may also be combined. The steps may be carried out in any order, and there are many other variations of the various aspects of the present application as described above, which are not provided in the details for the sake of brevity; although the present application has been described in detail with reference to the foregoing embodiments, The skilled person should understand that the technical solutions described in the foregoing embodiments may be modified, or some of the technical features may be equivalently replaced; and the modifications or substitutions do not deviate from the embodiments of the present application. The scope of the technical solution.

Claims

A physiological information monitoring device, characterized in that the device comprises:

a piezoelectric sensor for receiving a mechanical vibration pressure signal generated by human breathing and heart beat, and converting the mechanical vibration pressure signal into a heartbeat respiratory electric signal;

a control processing unit configured to process the heartbeat respiratory electrical signal, the control processing unit comprising: at least one processor and a memory, the memory storing instructions executable by the at least one processor, the instructions Executed by the at least one processor to enable the at least one processor to execute:

Obtaining a digitized first heartbeat breathing sampling signal based on the heartbeat respiratory electric signal, the first heartbeat breathing sampling signal includes a mutual interference breathing signal and a heartbeat signal, the breathing signal is a periodic signal, and the heartbeat signal is a periodic signal The period of the respiratory signal is greater than the period of the heartbeat signal;

Performing autocorrelation processing on the first heartbeat breathing sampling signal to obtain a second heartbeat breathing sampling signal, wherein the time window of the autocorrelation processing is T, and the value of the T is greater than or equal to a preset heartbeat period T1 and less than one a preset breathing period T2, wherein a period of the second heartbeat breathing sampling signal is a period of the heartbeat signal;

Heart rate information is obtained based on the second heartbeat breathing sampling signal.
The apparatus of claim 1 wherein the processor of the control processing unit is further capable of:

Respiratory frequency information is obtained based on the first heartbeat breathing sampling signal.
The device according to claim 1, wherein the autocorrelation processing is performed on the first heartbeat breathing sampling signal to obtain a second heartbeat breathing sampling signal, including:

Delaying the T by the first heartbeat breathing sampling signal to obtain a third heartbeat breathing sampling signal;

The first heartbeat breathing sampling signal is convoluted with the third heartbeat breathing sampling signal to obtain the second heartbeat breathing sampling signal.
The device according to any one of claims 1 to 3, characterized in that the piezoelectric sensor comprises a piezoelectric film sensor.
The device according to any one of claims 1 to 3, wherein the device further comprises:

An analog signal processing unit, configured to receive the heartbeat respiratory electrical signal sent by the piezoelectric sensor, And performing analog signal preprocessing on the heartbeat respiratory electric signal, and then transmitting a heartbeat respiratory electric signal preprocessed by the analog signal to the control processing unit.
A physiological information measuring method, characterized in that the method comprises:

Obtaining a first heartbeat breathing sampling signal, where the first heartbeat breathing sampling signal includes a respiratory signal and a heartbeat signal that interfere with each other, the breathing signal is a periodic signal, and the heartbeat signal is a periodic signal, and the period of the respiratory signal is greater than The period of the heartbeat signal;

Performing autocorrelation processing on the first heartbeat breathing sampling signal to obtain a second heartbeat breathing sampling signal, wherein the time window of the autocorrelation processing is T, and the value of the T is greater than or equal to a preset heartbeat period T1 and less than one a preset breathing period T2, wherein a period of the second heartbeat breathing sampling signal is a period of the heartbeat signal;

Heart rate information is obtained based on the second heartbeat breathing sampling signal.
The method according to claim 6, wherein the autocorrelation processing is performed on the first heartbeat breathing sampling signal to obtain a second heartbeat breathing sampling signal, including:

Delaying the first heartbeat breathing sampling signal by the time T to obtain a third heartbeat breathing sampling signal;

The first heartbeat breathing sampling signal is convoluted with the third heartbeat breathing sampling signal to obtain the second heartbeat breathing sampling signal.
The method of claim 6 wherein the method further comprises:

Respiratory frequency information is obtained based on the first heartbeat breathing sampling signal.
A storage medium, characterized in that the storage medium stores executable instructions adapted to be loaded by a processor and to perform the method of any one of claims 6-8.
A physiological information monitoring device, wherein the physiological information monitoring device comprises:

Monitoring the body for carrying parts of the human body or the human body;

The physiological information monitoring apparatus according to any one of claims 1 to 5, wherein a piezoelectric sensor in the physiological information monitoring apparatus is provided in the monitoring body.