CN117617919A - Wireless health monitoring device, detection system and detection method - Google Patents

Abstract

The invention discloses a wireless health monitoring device, a detection system and a detection method, wherein the wireless health monitoring device comprises a plurality of sensor modules and at least one edge data processor arranged in a monitored space, a PCB and an ultrahigh frequency RF antenna connected with the PCB are arranged in each sensor module, and a low-power consumption RF MCU chip, an RF-DC electric energy conversion module, an electric energy storage module and a plurality of sensors are arranged on the PCB of each sensor module; the edge data processor is internally provided with a communication module, a battery and a data processing module, wherein the communication module comprises an ultrahigh frequency RF (radio frequency) flat antenna and a wireless communication module; the monitoring system comprises a sensor module, an edge data processor and a medical monitoring management platform, wherein the medical monitoring management platform is used for setting basic data of each monitored person for management personnel, setting each sensor module worn by each monitored person and synchronizing data with the edge data processor.

Description

Wireless health monitoring device, detection system and detection method

Technical Field

The invention relates to the field of health monitoring equipment, in particular to a wireless health monitoring device, a detection system and a detection method.

Background

The current sensor devices and products applied to medical health monitoring mainly comprise a wired connection mode, a data acquisition sensor and a data processor which are connected through cables with various specifications and interfaces, and a plurality of sensor devices with batteries which are connected wirelessly through Bluetooth and the like. The Chinese patent with the application number of 201621304088.7 discloses a health monitoring bracelet, which comprises a bracelet body and main control equipment, wherein the main control equipment is detachably connected with the bracelet body, the main control equipment comprises a signal acquisition device, a micro controller and a power module, the signal acquisition device comprises a photoelectric sensor and a six-axis sensor, the signal acquisition device is coupled with the micro controller, and the power module is respectively coupled with the signal acquisition device and the micro controller; the pulse signals and the movement posture signals of the wearer are collected through the main control equipment, and after the pulse signals and the movement posture signals are processed through the micro controller, the health of the wearer can be monitored in real time through the intelligent handheld equipment.

The power module adopted by the detection equipment is a lithium battery, and a charging mode is adopted to supply power for the sensor and other components. Although the wireless device is provided with a built-in lithium battery, the size and weight of the wearable device can be increased by adopting the lithium battery, and meanwhile, the wearable device needs to be charged frequently at regular time, so that the wearable device is inconvenient. In addition, under the condition that some monitoring items are more, a monitoring device with larger volume and wired transmission and power supply is needed, the detection device has limitation on the activity of a monitored person, when a plurality of sensor devices are used for monitoring simultaneously, the periphery of the monitored person is covered with a messy cable, the cable can be torn off or broken by accident, the sensor device with a battery is used, the device is large in volume and weight, frequent charging at regular time is needed, and the use convenience is limited.

Disclosure of Invention

Aiming at the defects in the prior art, the invention aims to provide a wireless health monitoring device, a wireless health monitoring system and a wireless health monitoring method, which solve the problems that the conventional health monitoring equipment is inconvenient to charge and use, has large volume and is uncomfortable to wear on monitoring staff.

In order to solve the technical problems, the invention adopts the following technical scheme:

a wireless health monitoring device comprises a plurality of sensor modules which can be worn on a person to be monitored and at least one edge data processor which is placed in a monitored space, wherein a PCB and an ultrahigh frequency RF radio frequency antenna which is connected with the PCB are arranged in each sensor module, and a low-power consumption radio frequency MCU chip, an RF-DC electric energy conversion module, an electric energy storage module and a plurality of sensors are arranged on the PCB of each sensor module; each sensor in each sensor module is connected with the low-power-consumption radio frequency MCU chip through an interface, and the electric energy storage module is electrically connected with each sensor and the low-power-consumption radio frequency MCU chip; the edge data processor is internally provided with a communication module, a battery and a data processing module, wherein the communication module comprises an ultrahigh frequency RF (radio frequency) flat antenna and a wireless communication module; the battery is used for supplying power to the communication module and the data processing module;

The sensor is used for collecting one or more data of temperature, humidity, heart rate, electrocardio, electroencephalogram, pulse, blood oxygen, movement, vibration and sweat secretion of a monitored person and transmitting the collected data to the low-power consumption radio frequency MCU chip; the RF-DC power conversion module is used for converting the received RF radio frequency energy into direct current and then charging the power energy storage module; the low-power consumption radio frequency MCU chip is used for storing and receiving the acquired data sent by the corresponding sensor module, and sending the acquired data to the data processing module after the communication connection between the ultrahigh frequency RF antenna and the ultrahigh frequency RF panel antenna is established; meanwhile, the low-power consumption radio frequency MCU chip is also used for monitoring the electric quantity of the electric energy storage module, and sending charging indication data of insufficient electric quantity and electric energy to the ultrahigh frequency RF flat antenna of the edge data processor through the ultrahigh frequency RF flat antenna when the electric quantity and the voltage of the electric energy storage module are insufficient;

the edge data processor receives charging indication data and sensor acquisition data sent by each sensor module through an ultrahigh frequency RF (radio frequency) flat antenna, and transmits the received data to the data processing module; the data processing module is used for receiving the acquired data of the plurality of sensor modules uploaded by each RF sensor module, performing original numerical conversion and analysis on the received acquired data of the sensor modules to obtain various monitoring parameter data, and extracting the characteristics of the monitoring parameter data and training the learning of a data model; meanwhile, the data processing module can also transmit an empty carrier wave to the corresponding sensor module through the ultra-high frequency RF flat antenna after receiving the charging instruction data, generate induced voltage after establishing a radio frequency signal with the ultra-high frequency RF antenna of the sensor module, and charge the electric energy storage module of the sensor module after boosting and rectifying through the voltage doubling rectifying circuit.

In this way, the detection device comprises a plurality of sensor modules and an edge data processor, the two are powered by RF radio frequency and RF communication based on ultra-high frequency RF (915 MHz), the two types of RF signals are received by the sensor modules, one type of RF signals is no-load wave (without communication information), the other type of RF signals is modulated wave (including communication information), if the received RF signals are no-load wave signals, the sensor modules can be used for charging the received video, the space RF can be converted into direct current through an RF-DC electric energy conversion module arranged in the sensor modules, the power is supplied to an electric energy storage module, and finally, the power is supplied to each sensor and a low-power consumption RF MCU chip through the electric energy storage module. The charging and the communication are completed in a monitoring space directly, the charging and the communication do not need to be in direct contact, the charging and the use are more convenient, and the monitored person does not need to charge. The low-power consumption radio frequency MCU chip of the sensor module is low in power consumption, data processing is not needed, the electric quantity voltage of the electric energy storage module can be monitored in real time, the power supply requirement is sent out under the condition that the electric quantity of the electric energy storage module is insufficient, the edge data processor sends out no-load waves, and after the no-load waves are converted into direct current by the electric energy conversion module, the electric energy storage module is supplied with power, the monitored personnel do not need to pay attention to the electric quantity, and the use is convenient. Meanwhile, the sensor module does not directly participate in data processing, no built-in battery is arranged, the whole weight is small, the volume is small, no external communication line or electric wire is arranged, the activity of a detected person cannot be influenced after the sensor module is worn, and the sensorless wearing can be realized. Each sensor module is internally provided with a plurality of sensors, the sensors can be used for monitoring various body data, different monitoring requirements are met, a monitored person can wear the sensors at different positions according to the monitoring positions required to be worn by the monitored items, and one monitored person can wear the sensor modules at the same time. The edge data processor can receive and process the data of the sensor module connected with the edge data processor, obtain a corresponding characteristic model after characteristic extraction and characteristic training, and output a corresponding monitoring result. The data acquisition and the data processing are realized by adopting different devices, the miniaturization of equipment can be realized, and the power consumption required by the sensor module in application is smaller.

Further, a connecting piece used for being connected with the body of the monitored person is connected to the sensor module, and the connecting piece is a wrist strap or a binding strap or adhesive. Therefore, the connecting piece arranged on the sensor module can be worn on a human body by a wearer, the wrist can be worn on the wrist by adopting a wrist strap, the sensor module can be arranged on the head and other positions, and the sensor module can be suitable for a plurality of body parts by adopting an adhesive mode without influencing actions.

Further, at least one flexible solar cell panel is embedded on the connecting piece, and the flexible solar cell panel can provide electric energy in an illumination environment to charge the electric energy storage module. Therefore, after the flexible solar cell panel is arranged on the connecting piece, besides the mode of radio frequency charging, the sensor module can store energy in the illumination environment through the flexible solar cell panel, and then the electric energy storage module is charged for supplying power to the sensor module.

Further, the sensor on the sensor die comprises a body temperature sensor, a humidity sensor, a PPG sensor, an ECG sensor, a GSR (gsR) piezoelectric sensor, a bone vibration sensor and a motion sensor. Therefore, the body temperature sensor and the humidity sensor can be arranged at different positions to measure the local temperature and humidity changes of the excessive parts of the human body, so that the detection is more accurate. The humidity sensor is arranged on articles around the human body, so that the change of the ambient humidity can be monitored. (e.g., on a coverlet, it may be monitored whether a bedridden patient is incontinent or abnormally sweated). PPG (photoplethysmography) sensor: heart rate and blood oxygen were measured. The data fusion device can be arranged at a plurality of positions such as wrists and chest, and can collect the same type of data and perform data fusion processing, so that the accuracy of the data can be improved. ECG (electroencephalogram) sensor: can be arranged at a plurality of positions of forehead and chest to form multi-lead data acquisition, thereby improving the accuracy of data acquisition. GSR piezoelectric sensor: when the human body is subjected to sensory stimulation or emotion changes, blood vessels in the skin shrink and relax, sweat glands of the human body are activated to change, water is secreted, ions in secretion enter the skin surface through pores to change positive and negative balance of current, and the emotion state of a monitored person can be deduced and predicted by measuring the conductivity change of the skin and combining a data processing algorithm model. Vibration and motion sensor: and collecting motion and vibration data of multiple positions of the human body, and presuming and judging the current or one monitoring time period activity state of the monitored person.

Further, a power input interface is arranged on the back of the edge data processor, and the ultra-high frequency RF flat antenna is arranged on the front of the edge data processor; the back of the edge data processor is provided with a mounting bracket which is a hanging bracket or a vertical bracket. Therefore, the edge data processor can charge the built-in battery directly through the external power line, the using position of the edge data processor is fixed, and the power supply is convenient and quick in the mode. When the edge data processor is installed, the edge data processor can be placed on the ground directly through the stand, and can also be hung on the wall surface through the hanging frame.

Furthermore, a loudspeaker and a microphone are also arranged in the edge data processor, and the data processing module is a high-performance internet of things edge calculation SOC chip with an edge AI/ML processing unit; the loudspeaker is driven by the data processing module through the audio output interface; the microphone is connected with the data processing module through an IIC interface and is used for collecting and monitoring on-site sound; the wireless communication module comprises a WIFI communication module, a 4G/5G communication module, an RF communication module and an RJ45 wired network interface, wherein the RF communication module is a wireless transceiver chip nRF905 and is connected with the data processing module through an SPI interface, the WIFI communication module is connected with the data processing module through the USB interface, and the 4G/5G communication module is connected with the data processing module through a Mini-PCIe interface. Thus, the microphone is arranged at the edge data processor end and is used for collecting on-site audio and assisting in judging the state of the monitored person (such as cough, snore and the like). The loudspeaker can directly give out buzzing or warning after the motion characteristic model monitors the emergency. The wireless communication module in the edge data processor can send the processing result of the vertical processing module to a user or a background monitoring person in various communication modes. The multi-mode communication mode can directly start another communication line to send data when one communication line is not connected, and can effectively ensure that the communication line has no omission and faults.

Further, a data display screen is connected beside the edge data processor, and the data display screen is used for displaying the processing data of the data processing module. Therefore, the connected data display screen beside the edge data processor can be used for displaying the processing result for the monitored personnel to check by themselves.

The wireless health monitoring system comprises the plurality of sensor modules, at least one edge data processor and a medical monitoring management platform, wherein the medical monitoring management platform is connected with the edge data processor through wireless communication, so that background management personnel or medical monitoring personnel can set basic data of each monitored person, the frequency of data collection of the sensors in each sensor module worn by each monitored person, RF radio frequency communication protocols between the sensor module and the corresponding edge data processor, set user monitoring items, and store the set data in the edge data processor after the edge data processor is in communication connection with the sensor module, and the sensor modules are subjected to equipment binding, user identity binding, equipment adding or deleting after the edge data processor is in communication connection with the sensor module; after the setting of the sensor module is finished, the sensor module bound on the same monitored user is used for collecting data according to a setting mode; the data processing module of the edge data processor receives the collected data transmitted by the sensor module bound on the same monitored user in real time, performs data feature extraction and data feature model training on the collected data of the monitored user according to set time length to obtain a motion data feature model of the monitored user, finally establishes a user database of the monitored user, and sends the user database to the medical monitoring management platform in a wireless communication mode, so that a background manager or a medical monitor can check the data, and then a later sleeve manager or the medical monitor can subsequently perform detection instruction transmission. Therefore, the monitoring system realizes the connection setting of the sensor modules and the edge data processor through the management platform, so that one or more monitoring users in the same monitor are bound and correspond to the edge data processor in the monitoring space, and the sensors to be started by each sensor module of the same monitored are set, so that the monitoring is clearer, and the burden of subsequent data processing can be reduced. In addition, the monitoring system can also correspond to the edge data processor, receive the motion data characteristic model of each monitored person in real time, and acquire the monitoring result through the result output by the motion data characteristic model. The sensor module and the edge data processor in the monitoring system are charged through radio frequency and communicated through radio frequency, no data connection is needed between the sensor module and the edge data processor, the monitored person cannot be bound, and the application is convenient.

Further, during training the data feature model, the data feature model is required to be trained by combining personal basic data of a monitored person and evolution of physical sign data corresponding to various diseases; the exercise data characteristic model comprises a personal single index short-term and long-term data evolution model, a personal comprehensive index data evolution model, a chronic disease evolution risk prediction model, a critical situation evolution risk prediction model and an emotion detection model. In this way, in model training, the basic data and diseases of individuals are combined, so that the motion data characteristic model formed after model training is more accurate.

A wireless health monitoring and detecting method comprises the following steps: s1, installing at least one edge data processor in each room of a space to be monitored, and wearing at least one sensor module for a monitored person according to the monitoring requirement of the monitored person; the sensor module and the edge data processor are as described above; s2, monitoring personnel or management personnel set basic data of each monitored person, the frequency of data collection of sensors in each sensor module worn by each monitored person, RF radio frequency communication protocols between the sensor module and the corresponding edge data processor and user monitoring items through a medical monitoring management platform, and after the set data are transmitted to the edge data processor in a wireless mode, each edge data processor stores the set data; s3, the edge data processor establishes communication connection with each sensor module in the same monitoring space according to the setting data in the S2, and performs equipment binding, user identity binding, equipment addition or deletion on the sensor modules worn by each monitored person; s4, all the sensor modules in each detected person perform data acquisition according to the sensor module setting mode transmitted in the S3, after data acquisition, modulating waves are transmitted to an edge data processor according to set frequency, acquired data are transmitted to a data processing module of the edge data processor, the data processing module extracts data characteristics of the data acquired by the monitored user, trains the data characteristics model to obtain a motion data characteristics model of the monitored user, and finally a user database of the monitored user is established and is transmitted to a medical monitoring management platform in a wireless communication mode; and S5, after the medical monitoring management platform establishes communication connection with the edge data processor, corresponding data of the motion data characteristic models of all monitored persons can be obtained, and corresponding monitoring business is carried out through the medical monitoring management platform, so that a detection result is obtained. Therefore, when monitoring the monitored object, the items which are required to be monitored are definitely and clearly according to the personal condition of the monitored object, so that the sensor module is worn by the object, and the setting of the monitoring platform can be facilitated. The sensor modules and the edge data processor are arranged through the management platform, so that one or more monitoring users in the same monitor are bound and correspond to the edge data processor in the monitoring space, and the sensors to be started by the sensor modules of the same monitored are set, so that the monitoring is clearer, and the burden of subsequent data processing can be reduced. After the arrangement, the monitoring object can correspond to the sensor module and the edge data processor.

Drawings

FIG. 1 is a schematic perspective view of a wrist strap sensor module according to an embodiment;

FIG. 2 is a schematic perspective view of an unbent wristband of a wristband sensor module according to an embodiment;

FIG. 3 is a schematic diagram illustrating an internal structure of a sensor module according to an embodiment;

FIG. 4 is a schematic perspective view of an edge data processor according to an embodiment;

fig. 5 is an application schematic diagram 1 of a wireless health monitoring device in an embodiment;

FIG. 6 is a schematic block diagram of a sensor module in an embodiment;

FIG. 7 is a block diagram schematically illustrating the structure of an edge data processor in an embodiment;

FIG. 8 is a schematic diagram of an application of a wireless health monitoring system according to an embodiment;

FIG. 9 is a block diagram illustrating a sensor module and an edge data processor for wireless health monitoring in accordance with an embodiment;

fig. 10 is a flow chart of a wireless health monitoring system according to an embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. In the description of the present invention, it should be noted that, directions or positional relationships indicated by terms such as "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., are directions or positional relationships based on those shown in the drawings, or are directions or positional relationships conventionally put in use of the inventive product, are merely for convenience of describing the present invention and simplifying the description, and are not indicative or implying that the apparatus or element to be referred to must have a specific direction, be constructed and operated in a specific direction, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," "third," and the like are used merely to distinguish between descriptions and should not be construed as indicating or implying relative importance. Furthermore, the terms "horizontal," "vertical," and the like do not denote a requirement that the component be absolutely horizontal or overhang, but rather may be slightly inclined. As "horizontal" merely means that its direction is more horizontal than "vertical", and does not mean that the structure must be perfectly horizontal, but may be slightly inclined. In the description of the present invention, it should also be noted that, unless explicitly specified and limited otherwise, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.

Example 1

As shown in fig. 1-7, the present embodiment provides a wireless health monitoring device, which includes a plurality of sensor modules 1 capable of being worn on a person to be monitored and at least one edge data processor 6 placed in a monitored space, wherein each sensor module 1 is provided with a PCB 3 and an ultra-high frequency RF radio frequency antenna connected with the PCB 3, and each sensor module 1 is provided with a low power consumption RF MCU chip 31, an RF-DC power conversion module, a power energy storage module 33 and a plurality of sensors on the PCB 3; each sensor in each sensor module 1 is connected with the low-power-consumption radio frequency MCU chip 31 through an interface, and the electric energy storage module 33 is electrically connected with each sensor and the low-power-consumption radio frequency MCU chip 31; the edge data processor 6 is internally provided with a communication module, a battery and a data processing module 62, wherein the communication module comprises an ultrahigh frequency RF (radio frequency) flat antenna 61 and a wireless communication module; the battery is used for supplying power to the communication module and the data processing module 62;

the sensor is used for collecting one or more data of temperature, humidity, heart rate, electrocardio, electroencephalogram, pulse, blood oxygen, movement, vibration and sweat secretion of a monitored person and transmitting the collected data to the low-power consumption radio frequency MCU chip 31; the RF-DC power conversion module is configured to convert the received RF radio frequency energy into direct current and then charge the power energy storage module 33; the low-power consumption RF MCU chip 31 is configured to store and receive the collected data sent by the corresponding sensor module 1, and send the collected data to the data processing module 62 (i.e. SOC chip i.mx8 ULP) after the RF antenna is in communication with the RF panel antenna 61; meanwhile, the low-power consumption radio frequency MCU chip 31 is further configured to monitor the electric quantity of the electric energy storage module 33, and send charge indication data of insufficient electric quantity and electric energy to the ultra-high frequency RF radio frequency panel antenna 61 of the edge data processor 6 through the ultra-high frequency RF radio frequency antenna when the electric quantity and voltage of the electric energy storage module 33 are insufficient;

The edge data processor 6 receives the charging indication data and the sensor acquisition data sent by each sensor module 1 through the ultra-high frequency RF flat antenna 61, and transmits the received data to the data processing module 62; the data processing module 62 is configured to receive the data collected by the plurality of sensor modules 1 uploaded by each RF sensor module 1, perform raw numerical conversion and analysis on the received data collected by the sensor modules 1 to obtain each item of monitoring parameter data, and perform feature extraction and data model learning training on the monitoring parameter data; meanwhile, the data processing module 62 can also transmit a null carrier wave to the corresponding sensor module 1 through the ultra-high frequency RF flat antenna 61 after receiving the charge instruction data, generate an induced voltage after establishing a radio frequency signal with the ultra-high frequency RF antenna of the sensor module 1, and charge the electric energy storage module 33 of the sensor module 1 after boosting and rectifying through the voltage doubling rectifying circuit.

In this way, the detection device includes a plurality of sensor modules 1 and an edge data processor 6, where RF power supply and RF radio frequency communication are performed based on ultra-high frequency RF (915 MHz), two kinds of radio frequency signals are received by the sensor modules 1, one kind of radio frequency signals is no carrier wave (including communication information), and the other kind of radio frequency signals is modulated wave (including communication information), if the received radio frequency signals are no carrier wave signals, the sensor modules 1 can use the received video to charge, and the RF-DC power conversion module built in the sensor modules 1 can convert the spatial radio frequency into direct current to power the power transmission energy storage module 33, and finally, power is supplied to each sensor and the low power consumption radio frequency MCU chip 31 through the power energy storage module 33. The charging and the communication are completed in a monitoring space directly, the charging and the communication do not need to be in direct contact, the charging and the use are more convenient, and the monitored person does not need to charge. The low-power consumption radio frequency MCU chip 31 of the sensor module 1 has low power consumption, no data processing is needed, the electric quantity voltage of the electric energy storage module 33 can be monitored in real time, the power supply requirement is sent out under the condition that the electric quantity of the electric energy storage module 33 is insufficient, the edge data processor 6 sends out no-load waves, the electric energy conversion module converts the no-load waves into direct current, the direct current waves power the electric energy storage module 33, the monitored personnel do not need to pay attention to the electric quantity, and the use is convenient. Meanwhile, the adopted sensor module 1 does not directly participate in data processing, no built-in battery is arranged, the whole weight is small, the volume is small, no external communication line or electric wire is arranged, the activity of a detected person cannot be influenced after the sensor module is worn, and the sensorless wearing can be realized. Each sensor module 1 is internally provided with a plurality of sensors, the sensors can be used for monitoring various body data, different monitoring requirements are met, a monitored person can wear the sensors at different positions according to the monitoring positions required to be worn by the monitored items, and one monitored person can wear the sensors modules 1 at the same time. The edge data processor 6 can receive and process the data of the sensor module 1 connected with the edge data processor, obtain a corresponding characteristic model after characteristic extraction and characteristic training, and output a corresponding monitoring result. The data acquisition and the data processing are realized by adopting different devices, the miniaturization of equipment can be realized, and the power consumption of the sensor module 1 in application is smaller.

In this embodiment, the RF-DC (radio frequency-direct current) conversion module of the sensor module 1 is composed of an LC resonant circuit and a voltage doubling rectifying circuit, and after the RF antenna receives the radio frequency signal, the LC resonant circuit resonates to generate an induced voltage, and the induced voltage is only mV-level, and after the voltage doubling rectifying circuit is used for boosting and rectifying, the electric energy storage module 33 (energy storage capacitor array) is charged. The low-power consumption radio frequency MCU chip 31, the sensor and the like in the sensor module 1 can reliably work only by 2-3V low voltage, and the electric energy storage module 33 can meet the electric energy power requirement of the sensor module 1 for transmitting data more than ten times after being fully charged. So that the plurality of sensor modules 1 are charged in a staggered manner, and system communication and charging are alternately performed.

Further, the sensor module 1 is connected with a connecting piece for being connected with a body of a monitored person, the connecting piece is a wrist strap 2, at least one flexible solar panel 5 is embedded on the wrist strap 2, and the flexible solar panel 5 can provide electric energy in an illumination environment to charge the electric energy storage module 33. In particular embodiments, the connector may also be a strap or adhesive. Like this, the connecting piece that sets up on the sensor module 1 can supply the wearer to dress it on the human body, adopts wrist strap 2 formula, and this can wear in wrist department, adopts the strapping, can set up in positions such as head, adopts the mode of viscose then can be applicable to a plurality of health positions, and can not influence the action. After the flexible solar panel 5 is arranged on the connecting piece, besides the radio frequency charging mode, the sensor module 1 can store energy in the illumination environment through the flexible solar panel 5, and then the electric energy storage module 33 is charged for supplying power to the sensor module 1.

Further, the sensor on the sensor die comprises a body temperature sensor, a humidity sensor, a PPG sensor, an ECG sensor, a GSR (gsR) piezoelectric sensor, a bone vibration sensor and a motion sensor. The body temperature sensor and the humidity sensor can be arranged at different positions to measure the local temperature and humidity changes of the excessive parts of the human body, so that the detection is more accurate. The humidity sensor is arranged on articles around the human body, so that the change of the ambient humidity can be monitored. (e.g., on a coverlet, it may be monitored whether a bedridden patient is incontinent or abnormally sweated). PPG (photoplethysmography) sensor: heart rate and blood oxygen were measured. The data fusion device can be arranged at a plurality of positions such as wrists and chest, and can collect the same type of data and perform data fusion processing, so that the accuracy of the data can be improved. ECG (electroencephalogram) sensor: can be arranged at a plurality of positions of forehead and chest to form multi-lead data acquisition, thereby improving the accuracy of data acquisition. GSR piezoelectric sensor: when the human body is subjected to sensory stimulation or emotion changes, blood vessels in the skin shrink and relax, sweat glands of the human body are activated to change, water is secreted, ions in secretion enter the skin surface through pores to change positive and negative balance of current, and the emotion state of a monitored person can be deduced and predicted by measuring the conductivity change of the skin and combining a data processing algorithm model. Vibration and motion sensor: and collecting motion and vibration data of multiple positions of the human body, and presuming and judging the current or one monitoring time period activity state of the monitored person.

Further, a power input interface is arranged on the back surface of the edge data processor 6, and the ultra-high frequency RF radio frequency flat antenna 61 is arranged on the front surface of the edge data processor 6; a mounting bracket is arranged on the back of the edge data processor 6, and the mounting bracket is a hanging bracket or a vertical bracket. The suspension frame comprises a mounting seat and a U-shaped bracket, a rotating shaft is arranged on the mounting seat, two ends of the U-shaped bracket are fixedly connected with the rotating shaft, and a plurality of fixing screw holes are formed in the U-shaped bracket at intervals. In this way, the edge data processor 6 can directly charge the built-in battery through the external power line, the using position of the edge data processor 6 is fixed, and the power supply is convenient and quick in this way. When the edge data processor 6 is installed, the edge data processor can be directly placed on the ground through the vertical frame, and also can be hung on the wall surface through the hanging frame, the U-shaped support on the hanging frame can rotate, so that the angle can be adjusted, and when the edge data processor is specifically implemented, the positioning mechanism can be arranged and fixed in the current state after the angle is adjusted in place, so that the edge data processor 6 can better cover a larger area.

Further, a speaker and a microphone are further arranged in the edge data processor 6, and the data processing module 62 is a high-performance internet of things edge computing SOC chip with an edge AI/ML processing unit built in; the speaker is driven by the data processing module 62 through an audio output interface; the microphone is connected with the data processing module 62 through an IIC interface and collects the sound of the monitoring site; the wireless communication module comprises a WIFI communication module, a 4G/5G communication module, an RF communication module and an RJ45 wired network interface, wherein the RF communication module is a wireless transceiver chip nRF905 and is connected with the data processing module 62 through an SPI interface, the WIFI communication module is connected with the data processing module 62 through the USB interface, and the 4G/5G communication module is connected with the data processing module 62 through a Mini-PCIe interface. Thus, a microphone is provided at the edge data processor 6 for capturing live audio to assist in determining the condition of the subject (e.g., coughing, snoring, etc.). The loudspeaker can directly give out buzzing or warning after the motion characteristic model monitors the emergency. The wireless communication module in the edge data processor 6 can send the processing result of the vertical processing module to a user or a background monitoring person in various communication modes. The multi-mode communication mode can directly start another communication line to send data when one communication line is not connected, and can effectively ensure that the communication line has no omission and faults.

Further, a data display screen is connected to the edge data processor 6, and the data display screen is used for displaying the processed data of the data processing module 62. In this way, the connected data display screen beside the edge data processor 6 can be used for displaying the processing result for the monitored personnel to check by themselves.

Example 2

As shown in fig. 1-9, this embodiment provides a wireless health monitoring system, including the plurality of sensor modules 1 and at least one edge data processor 6 as described above, and a medical monitoring management platform (which may be a mobile phone APP or a computer APP), where the medical monitoring management platform is connected with the edge data processor 6 through wireless communication, so that a background manager or a medical monitor can set basic data of each monitored person, frequency of data collection by a sensor in each sensor module 1 worn by each monitored person, RF radio frequency communication protocol between the sensor module 1 and the corresponding edge data processor 6, set a user monitoring item, and store the set data in the edge data processor 6 after wirelessly transmitting the set data to the edge data processor 6, and after the edge data processor 6 establishes a communication connection with the sensor module 1, perform device binding, user identity binding, device adding or subtracting on the sensor module 1; after the setting of the sensor module 1 is finished, the sensor module 1 bound on the same monitored user is used for collecting data according to a setting mode; the data processing module 62 of the edge data processor 6 receives the collected data transmitted by the sensor module 1 bound to the same monitored user in real time, performs data feature extraction and data feature model training on the collected data of the monitored user (including the collected data of the sensor and the voice data of the microphone collected by the edge data processor) according to a set time length, obtains a motion data feature model of the monitored user, finally establishes a user database of the monitored user, and sends the user database to the medical monitoring management platform in a wireless communication mode for a background manager or a medical monitor to check, and then carries out detection instruction communication by a post-sleeve manager or the medical monitor. In this way, the monitoring system realizes the connection setting of the sensor modules 1 and the edge data processor 6 through the management platform, so that one or more monitoring users in the same monitor are bound and correspond to the edge data processor 6 in the monitoring space, and the sensors to be started by each sensor module 1 of the same monitored are set, so that the monitoring is more clear, and the burden of subsequent data processing can be reduced. In addition, the monitoring system can also correspond to the edge data processor 6, receive the motion data characteristic model of each monitored person in real time, and learn the monitoring result according to the result output by the motion data characteristic model. The sensor module 1 and the edge data processor 6 in the monitoring system are charged by radio frequency and communicated by radio frequency, no data connection is needed between the sensor module 1 and the edge data processor, the monitored person is not bound, and the application is convenient.

Further, during training the data feature model, the data feature model is required to be trained by combining personal basic data of a monitored person and evolution of physical sign data corresponding to various diseases; the exercise data characteristic model comprises a personal single index short-term and long-term data evolution model, a personal comprehensive index data evolution model, a chronic disease evolution risk prediction model, a critical situation evolution risk prediction model and an emotion detection model. In this way, in model training, the basic data and diseases of individuals are combined, so that the motion data characteristic model formed after model training is more accurate.

The frequency of the sensor module 1 for collecting data is greatly different according to the requirement of the collection time interval of various index parameters, the collection interval of parameters (such as temperature and humidity) with slow change is ten seconds to tens of seconds, the collection interval of parameters (such as blood oxygen) with slightly quick change is several seconds, and the collection interval of parameters (such as heart rate, electrocardio, motion and vibration) which need to be rapidly collected (monitored in real time) is in the second level. The sensor module 1 only uploads the original acquired data each time, the data volume is very low, only a very short channel time slot is occupied each time (burst type), and the system can conveniently expand the number of the RF sensor modules 1 (tens to hundreds).

The system is based on an artificial intelligence deep learning algorithm, combines basic data (age, sex, height, weight, physical characteristics, basic diseases and the like) of a monitored person, performs feature extraction on collected data, establishes various index parameter models (such as a personal single index short-term and long-term data evolution model, a personal comprehensive index data evolution model, a chronic disease evolution risk prediction model, a critical situation evolution risk prediction model and the like), and realizes various health data monitoring functions. Meanwhile, the monitoring data can be displayed locally in real time through an external display screen according to the requirements.

The sensor module 1 is passive and wireless, is provided with an ultrahigh frequency RF antenna with a large area, and performs RF radio frequency communication and energy acquisition. The sensor module 1 has two power supply ways, one is to convert RF radio frequency energy into direct current (which is accomplished by an RF-DC power conversion module), and the other is to provide a flexible solar panel 5 (which provides power in an environment with illumination) on the wrist strap 2 worn by the sensor module 1. When the sensor module 1 is in communication, the radio frequency MCU detects the electric quantity voltage of the energy storage module, when the normal operation condition (the energy consumption required by data acquisition and radio frequency signal transmission) is met, the data acquisition is carried out and the data are uploaded to the edge data processor 6, if the data are not met, the short electric energy shortage charging indication data are standby or sent to the edge data processor 6, and the edge data processor 6 can prolong the transmission time of the RF radio frequency signal or improve the transmission power of the RF radio frequency signal according to the actual situation (when a plurality of sensor modules 1 are in communication at the same time) so as to accelerate the speed of the sensor module 1 to acquire the RF electric energy. The sensor module 1 performs data acquisition according to a set mode, such as autonomous acquisition data uploading according to a certain time interval, or acquisition uploading according to an instruction request under the instruction control of the edge data processor 6. The plurality of sensor modules 1 perform aerial RF radio frequency communication under the control of a self-defined anti-collision protocol and algorithm, for example, the carriers in the working channel are detected before the modules communicate, and the communication is performed when the channels are idle, or the modules are distributed on different channels, or the modules are sequenced and communicated according to time intervals. The RF sensor modules 1 are placed on different body parts of the monitored person, and collect various index parameters (such as temperature, humidity, heart rate, blood oxygen, respiratory rate, skin electricity, electrocardio, vibration, movement and the like). The sensor module 1 collects the original data, and then uploads the data to the edge data processor 6, and the collected data is not analyzed and processed by the sensor module itself so as to realize ultra-low power consumption operation.

An ultra-high frequency RF (915 MHz) panel antenna of the edge data processor 6 covers the area where the monitored person is located, and communicates with a plurality of sensor modules 1 worn by the monitored person through RF radio frequency. The cloud management system is communicated with a cloud management platform through a built-in WIFI/4G/5G communication module, an RJ45 wired network interface and other modes (firmware upgrading, data uploading and downloading, database synchronization and management, docking with other remote management terminals and the like are realized). The edge data processor 6 controls all the RF sensor modules 1 in a unified manner, RF-RF powering and RF-RF communication (via a custom powering protocol and data communication protocol) for the sensor modules 1. For a multi-user scene, the edge data processor 6 is bound with a plurality of corresponding sensor modules 1 (equipment ID, name and the like) through system management software (PC client, mobile phone APP), and then is bound with a user in identity, and when the user needs to be added, deleted or replaced, only needs to set equipment association.

Example 3

As shown in fig. 1 to 10, the present embodiment provides a wireless health monitoring and detecting method, which includes the following steps: s1, installing at least one edge data processor 6 in each room of a space to be monitored, and wearing at least one sensor module 1 for a monitored person according to the monitoring requirement of the monitored person; the sensor module 1 and the edge data processor 6 are as described above; s2, a monitoring person or a manager sets basic data of each monitored person, frequency of data collection of sensors in each sensor module 1 worn by each monitored person, RF radio frequency communication protocol between the sensor module 1 and the corresponding edge data processor 6 and user monitoring items through a medical monitoring management platform, and after the set data are transmitted to the edge data processor 6 in a wireless mode, each edge data processor 6 stores the set data; s3, the edge data processor 6 establishes communication connection with each sensor module 1 in the same monitoring space according to the setting data in the S2, and performs equipment binding, user identity binding, equipment addition or deletion on the sensor modules 1 worn by each monitored person; s4, all the sensor modules 1 in each detected person perform data acquisition according to the sensor module setting mode transmitted in the S3, after data acquisition, modulation waves are transmitted to the edge data processor 6 according to the set frequency, acquired data are transmitted to the data processing module 62 of the edge data processor 6, the data processing module 62 performs data feature extraction and data feature model training on the data acquired by the monitored user to obtain a motion data feature model of the monitored user, finally, a user database of the monitored user is established, and the user database is transmitted to the medical monitoring management platform in a wireless communication mode; and S5, after the medical monitoring management platform establishes communication connection with the edge data processor 6, the corresponding data of the motion data characteristic models of all monitored persons can be obtained, and corresponding monitoring business is carried out through the medical monitoring management platform, so that a detection result is obtained. Therefore, when monitoring the monitored object, the items to be monitored are definitely needed according to the personal condition of the monitored object, so that the sensor module 1 is worn by the object, and the setting of a monitoring platform can be facilitated. Firstly, the sensor modules 1 and the edge data processor 6 are arranged through the management platform, so that one or more monitoring users in the same monitor are bound and correspond to the edge data processor 6 in the monitoring space, and the sensors to be started by the sensor modules 1 of the same monitored are set, so that the monitoring is clearer, and the burden of subsequent data processing can be reduced. After the setting, the monitoring object can correspond to both the sensor module 1 and the edge data processor 6.

PC client, mobile phone APP), binds the edge data processor 6 with the corresponding plurality of sensor modules 1 (device ID, name, etc.), and then binds with the user identity, and when the device needs to be added, deleted or replaced, only needs to set a device association. The cloud platform carries out systematic management based on the edge data processor 6, and provides multi-scene, differentiated and personalized monitoring services by combining with the mobile phone terminal APP.

The edge data processor 6 is provided with a relatively large area ultra-high frequency RF flat antenna 61, which covers the area where the monitored person is located, and controls all the RF sensor modules 1 in a unified manner to RF power and RF communication (via a custom power supply protocol and a data communication protocol) for the sensor modules 1. The edge data processor 6 receives the original physiological index parameter values and the activity behavior values uploaded by the plurality of RF sensor modules 1, converts and analyzes the original values to obtain various monitoring parameter data, and stores the monitoring parameter data in the user original database.

Finally, it should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the technical solution, and those skilled in the art should understand that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the present invention, and all such modifications and equivalents are included in the scope of the claims.

Claims (10)

1. The wireless health monitoring device is characterized by comprising a plurality of sensor modules which can be worn on a person to be monitored and at least one edge data processor which is placed in a monitored space, wherein a PCB and an ultrahigh frequency RF radio frequency antenna which is connected with the PCB are arranged in each sensor module, and a low-power consumption RF MCU chip, an RF-DC electric energy conversion module, an electric energy storage module and a plurality of sensors are arranged on the PCB of each sensor module; each sensor in each sensor module is connected with the low-power-consumption radio frequency MCU chip through an interface, and the electric energy storage module is electrically connected with each sensor and the low-power-consumption radio frequency MCU chip; the edge data processor is internally provided with a communication module, a battery and a data processing module, wherein the communication module comprises an ultrahigh frequency RF (radio frequency) flat antenna and a wireless communication module; the battery is used for supplying power to the communication module and the data processing module;

the sensor is used for collecting one or more data of temperature, humidity, heart rate, electrocardio, electroencephalogram, pulse, blood oxygen, movement, vibration and sweat secretion of a monitored person and transmitting the collected data to the low-power consumption radio frequency MCU chip; the RF-DC power conversion module is used for converting the received RF radio frequency energy into direct current and then charging the power energy storage module; the low-power consumption radio frequency MCU chip is used for storing and receiving the acquired data sent by the corresponding sensor module, and sending the acquired data to the data processing module after the communication connection between the ultrahigh frequency RF antenna and the ultrahigh frequency RF panel antenna is established; meanwhile, the low-power consumption radio frequency MCU chip is also used for monitoring the electric quantity of the electric energy storage module, and sending charging indication data of insufficient electric quantity and electric energy to the ultrahigh frequency RF flat antenna of the edge data processor through the ultrahigh frequency RF flat antenna when the electric quantity and the voltage of the electric energy storage module are insufficient;

The edge data processor receives charging indication data and sensor acquisition data sent by each sensor module through an ultrahigh frequency RF (radio frequency) flat antenna, and transmits the received data to the data processing module; the data processing module is used for receiving the acquired data of the plurality of sensor modules uploaded by each RF sensor module, performing original numerical conversion and analysis on the received acquired data of the sensor modules to obtain various monitoring parameter data, and extracting the characteristics of the monitoring parameter data and training the learning of a data model; meanwhile, the data processing module can also transmit an empty carrier wave to the corresponding sensor module through the ultra-high frequency RF flat antenna after receiving the charging instruction data, generate induced voltage after establishing a radio frequency signal with the ultra-high frequency RF antenna of the sensor module, and charge the electric energy storage module of the sensor module after boosting and rectifying through the voltage doubling rectifying circuit.

2. The wireless health monitoring device according to claim 1, wherein a connecting piece for connecting with a monitored body is connected to the sensor module, and the connecting piece is a wristband, a bandage or an adhesive.

3. The wireless health monitoring device of claim 2, wherein at least one flexible solar panel is embedded on the connector, the flexible solar panel being capable of providing electrical energy in an illuminated environment to charge the electrical energy storage module.

4. A wireless health monitoring device according to claim 1, 2 or 3, wherein the sensor on the sensor die comprises a body temperature sensor, a humidity sensor, a PPG sensor, an ECG sensor, a GSR skin sensor, a bone vibration sensor, a motion sensor.

5. The wireless health monitoring device of claim 4, wherein a power input interface is provided on the back side of the edge data processor, and the ultra-high frequency RF flat antenna is disposed on the front side of the edge data processor; the back of the edge data processor is provided with a mounting bracket which is a hanging bracket or a vertical bracket.

6. The wireless health monitoring device of claim 5, wherein a speaker and a microphone are further arranged in the edge data processor, and the data processing module calculates an SOC chip for the high-performance internet of things edge of the built-in edge AI/ML processing unit; the loudspeaker is driven by the data processing module through the audio output interface; the microphone is connected with the data processing module through an IIC interface and is used for collecting and monitoring on-site sound; the wireless communication module comprises a WIFI communication module, a 4G/5G communication module, an RF communication module and an RJ45 wired network interface, wherein the RF communication module is a wireless transceiver chip nRF905 and is connected with the data processing module through an SPI interface, the WIFI communication module is connected with the data processing module through the USB interface, and the 4G/5G communication module is connected with the data processing module through a Mini-PCIe interface.

7. The wireless health monitoring device of claim 6, wherein a data display screen is further connected to the edge data processor, and the data display screen is used for displaying the processing data of the data processing module.

8. A wireless health monitoring system, which is characterized by comprising a plurality of sensor modules and at least one edge data processor as claimed in any one of claims 1-7, and a medical monitoring management platform, wherein the medical monitoring management platform is connected with the edge data processor through wireless communication, so that background management personnel or medical monitoring personnel can set basic data of each monitored person, the frequency of data collection of sensors in each sensor module worn by each monitored person, RF radio frequency communication protocol between the sensor module and the corresponding edge data processor, set user monitoring items, and the set data are wirelessly transmitted to the edge data processor and then stored in the edge data processor; after the setting of the sensor module is finished, the sensor module bound on the same monitored user is used for collecting data according to a setting mode; the data processing module of the edge data processor receives the collected data transmitted by the sensor module bound on the same monitored user in real time, performs data feature extraction and data feature model training on the collected data of the monitored user according to set time length to obtain a motion data feature model of the monitored user, finally establishes a user database of the monitored user, and sends the user database to the medical monitoring management platform in a wireless communication mode, so that a background manager or a medical monitor can check the data, and then a later sleeve manager or the medical monitor can subsequently perform detection instruction transmission.

9. The wireless health monitoring system according to claim 8, wherein the data feature model training is performed in combination with the personal basic data of the monitored person and the evolution of the physical sign data corresponding to each disease; the exercise data characteristic model comprises a personal single index short-term and long-term data evolution model, a personal comprehensive index data evolution model, a chronic disease evolution risk prediction model, a critical situation evolution risk prediction model and an emotion detection model.

10. The wireless health monitoring and detecting method is characterized by comprising the following steps: s1, installing at least one edge data processor in each room of a space to be monitored, and wearing at least one sensor module for a monitored person according to the monitoring requirement of the monitored person; the sensor module and edge data processor as claimed in any one of claims 1 to 7; s2, monitoring personnel or management personnel set basic data of each monitored person, the frequency of data collection of sensors in each sensor module worn by each monitored person, RF radio frequency communication protocols between the sensor module and the corresponding edge data processor and user monitoring items through a medical monitoring management platform, and after the set data are transmitted to the edge data processor in a wireless mode, each edge data processor stores the set data; s3, the edge data processor establishes communication connection with each sensor module in the same monitoring space according to the setting data in the S2, and performs equipment binding, user identity binding, equipment addition or deletion on the sensor modules worn by each monitored person; s4, all the sensor modules in each detected person perform data acquisition according to the sensor module setting mode transmitted in the S3, after data acquisition, modulating waves are transmitted to an edge data processor according to set frequency, acquired data are transmitted to a data processing module of the edge data processor, the data processing module extracts data characteristics of the data acquired by the monitored user, trains the data characteristics model to obtain a motion data characteristics model of the monitored user, and finally a user database of the monitored user is established and is transmitted to a medical monitoring management platform in a wireless communication mode; and S5, after the medical monitoring management platform establishes communication connection with the edge data processor, corresponding data of the motion data characteristic models of all monitored persons can be obtained, and corresponding monitoring business is carried out through the medical monitoring management platform, so that a detection result is obtained.