CN221748039U - Wireless medical health monitoring device - Google Patents

Abstract

The utility model discloses a wireless medical health detection device, which comprises a plurality of sensor modules and at least one edge data processor arranged in a monitored space, wherein 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 ultra-high frequency RF flat antenna can emit a null carrier or a modulated wave, and establishes a radio frequency signal with the ultra-high frequency RF flat antenna when the modulated null carrier is emitted, charges the electric energy storage module, and establishes communication connection with the ultra-high frequency RF flat antenna when the modulated wave is emitted.

Description

Wireless medical health monitoring device

Technical Field

The utility model relates to the field of health monitoring equipment, and in particular to a wireless medical health detection device.

Background Art

The various sensor devices and products currently used for medical health monitoring mainly have wired connection methods, where data acquisition sensors and data processors are connected through cables of various specifications and interfaces, and some sensor devices with batteries are wirelessly connected through Bluetooth and other methods. For example, the Chinese patent application number 201621304088.7 discloses a health monitoring bracelet including a bracelet body and a main control device, which is detachably connected to the bracelet body, the main control device including a signal acquisition device, a microcontroller, and a power module, the signal acquisition device including a photoelectric sensor and a six-axis sensor, the signal acquisition device coupled to the microcontroller, and the power module coupled to the signal acquisition device and the microcontroller respectively; the main control device collects the wearer's pulse signal and motion posture signal, and after the pulse signal and motion posture signal are processed by the microcontroller, the wearer can monitor his or her health in real time through the smart handheld device.

The power module used in the above-mentioned detection equipment is a lithium battery, which uses charging to power the sensors and other components. Although it is a wireless device, it has a built-in lithium battery. The use of lithium batteries will increase the size and weight of the wearable device. At the same time, it needs to be charged frequently and regularly, which is not convenient. In addition, for some cases where there are many monitoring items, it is necessary to use a larger monitoring device with wired transmission and power supply. This type of detection equipment has restrictions on the activities of the person being monitored. When multiple sensor devices are monitoring at the same time, the person being monitored is surrounded by messy cables, which may be accidentally pulled off or broken. The use of sensor devices with built-in batteries requires frequent and regular charging, which limits the convenience of use.

Summary of the invention

In view of the above-mentioned deficiencies in the prior art, the purpose of the present invention is to provide a wireless medical health detection device to solve the problem of inconvenience in charging and using health monitoring equipment.

In order to solve the above technical problems, the utility model adopts the following technical solutions:

A wireless medical health detection device comprises a plurality of sensor modules that can be worn on a monitored person and at least one edge data processor placed in a monitored space, wherein a PCB board and an ultra-high frequency RF radio frequency antenna connected to the PCB board are provided in each sensor module, and a low-power radio frequency MCU chip, an RF-DC power conversion module, an electric energy storage module and a plurality of sensors are provided on the PCB board of each sensor module; each sensor in each sensor module is connected to the low-power radio frequency MCU chip through an interface, and the electric energy storage module is electrically connected to each sensor and the low-power radio frequency MCU chip; the edge data processor has a built-in communication module, a battery and a data processing module, and the communication module comprises an ultra-high frequency RF radio frequency flat antenna and a wireless communication module; the battery is electrically connected to the communication module and the data processing module; the ultra-high frequency RF radio frequency flat antenna is used to transmit an empty carrier or a modulated wave to the ultra-high frequency RF radio frequency antenna of the corresponding sensor module, and when transmitting the modulated empty carrier, an radio frequency signal is established with the ultra-high frequency RF radio frequency antenna to generate an induced voltage to charge the electric energy storage module of the sensor module.

In this way, the detection device includes multiple sensor modules and edge data processors, and the two perform RF power supply and RF communication based on ultra-high frequency RF (915MHz). There are two types of RF signals received by the sensor module, one is an empty carrier (without communication information) and the other is a modulated wave (including communication information). If the received RF signal is an empty carrier signal, the sensor module uses the above-received video energy for charging, and converts the spatial RF energy into direct current through the built-in RF-DC power conversion module of the sensor module to power the transmission energy storage module. Finally, the power storage module powers each sensor and low-power RF MCU chip. The above charging and communication are all completed directly in a monitoring space. There is no need for direct contact between charging and communication. Charging and use are relatively convenient, and there is no need for charging by the monitored person.

Furthermore, the sensor is used to collect one or more data of the temperature, humidity, heart rate, electrocardiogram, electroencephalogram, pulse, blood oxygen, movement, vibration, and sweat secretion of the monitored person, and transmit the collected data to the low-power RF MCU chip; the RF-DC power conversion module is used to convert the received RF radio frequency energy into direct current to charge the power storage module; the low-power RF MCU chip is used to store and receive the collected data sent by the corresponding sensor module, and send a modulated wave through an ultra-high frequency RF radio frequency antenna, and after establishing a communication connection with the ultra-high frequency RF radio frequency flat antenna, send the collected data to the data processing module; at the same time, the low-power RF MCU chip is also used to send charging indication data to the edge data processor through the ultra-high frequency RF radio frequency antenna;

The edge data processor is used to receive the charging indication data and sensor acquisition data issued by each sensor module, and transmit the received data to the data processing module; the data processing module is used to receive and process multiple sensor module acquisition data uploaded by each RF sensor module and the charging indication data issued by the sensor module.

In this way, the low-power RF MCU chip of the sensor module has low power consumption and does not require data processing. The sensor module used does not directly participate in data processing, has no built-in battery, has a small overall weight and volume, and has no external communication lines or wires. After wearing, it will not affect the activities of the person being tested, and can be worn without feeling. Each sensor module has multiple sensors built in. The sensors can be used to monitor a variety of body data and are suitable for different monitoring needs. The monitored person can wear them in different positions according to the monitoring position required by the monitoring items. A person being tested can wear multiple sensor modules at the same time. The edge data processor used can receive and process data from the sensor module connected to it. Data acquisition and data processing are implemented using different devices, which can realize the miniaturization of equipment and the sensor module requires less power consumption in the application.

Furthermore, the sensor module is connected with a connector for connecting to the body of the monitored person, and the connector is a wristband, a strap, or adhesive. In this way, the connector provided on the sensor module can be worn on the body by the wearer. If a wristband is adopted, it can be worn on the wrist, if a strap is adopted, it can be set on the head and other positions, and if an adhesive is adopted, it can be applied to multiple body parts without affecting the action.

Furthermore, at least one flexible solar panel is embedded in the connector, and the flexible solar panel can provide electric energy in a light environment to charge the electric energy storage module. In this way, after the flexible solar panel is set on the connector, in addition to the radio frequency charging method, the sensor module can also store energy in a light environment through the flexible solar panel, and then charge the electric energy storage module to power the sensor module.

Furthermore, the sensors on the sensor module include temperature sensors, humidity sensors, PPG sensors, ECG sensors, GSR skin conductivity sensors, bone vibration sensors, and motion sensors. In this way, temperature sensors and humidity sensors can be set at different positions to measure the local temperature and humidity changes of multiple parts of the human body, making the detection more accurate. Humidity sensors are set on objects around the human body to monitor changes in environmental humidity. (For example, if they are set on sheets, they can monitor whether bedridden patients are incontinent or sweating abnormally). PPG (photoplethysmography) sensor: measures heart rate and blood oxygen. It can be set at multiple locations such as the wrist and chest to collect the same type of data and perform data fusion processing to improve the accuracy of the data. ECG (electroencephalogram) sensor: It can be set at multiple locations on the forehead and chest to form multi-lead data collection and improve data collection accuracy. GSR skin conductivity sensor: When the human body is stimulated by sensory stimulation or changes in emotions, the blood vessels in the skin will contract and dilate, the sweat glands of the human body will be activated and change, and then secrete water, which enters the skin surface through the pores. The ions in the secretion fluid change the positive and negative balance of the current. By measuring this conductivity change of the skin and combining it with the data processing algorithm model, the emotional state of the person being monitored can be inferred and predicted. Vibration and motion sensors: Collect motion and vibration data at multiple locations of the human body to infer and determine the activity status of the person being monitored at present or within a monitoring period.

Furthermore, a power input interface is provided on the back of the edge data processor, and the ultra-high frequency RF radio frequency flat antenna is placed on the front of the edge data processor; a mounting bracket is provided on the back of the edge data processor, and the mounting bracket is a hanging bracket or a standing bracket. In this way, the edge data processor can directly charge its built-in battery through an external power cord, and the use position of the edge data processor is fixed. This method of power supply is convenient and fast. When installing, the edge data processor can be placed directly on the ground through a standing bracket, or it can be suspended on the wall through a hanging bracket.

Furthermore, a speaker and a microphone are also provided in the edge data processor, and the data processing module is a high-performance IoT edge computing SOC chip with a built-in edge AI/ML processing unit; the speaker is driven by the data processing module through an audio output interface; the microphone is connected to the data processing module through an IIC interface to collect the sound of the monitoring site; the wireless communication module includes 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, which is connected to the data processing module through an SPI interface, the WIFI communication module is connected to the data processing module through a USB interface, and the 4G/5G communication module is connected to the data processing module through a Mini-PCIe interface. In this way, the microphone is set at the edge data processor end to collect on-site audio (such as coughing, snoring, etc.). The speaker can emit a buzzer or warning warning. The wireless communication module in the edge data processor can send the processing results of the data processing module to the user or the backstage monitoring personnel through a variety of communication methods. This multi-mode communication method can directly start another communication line to send data when one communication line is blocked, which can effectively ensure that there are no omissions or failures in the communication lines.

Furthermore, a data display screen is also connected next to the edge data processor. In this way, the data display screen connected next to the edge data processor can be used to display the processing results.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a diagram showing the edge data processor in the wireless health monitoring device in the embodiment being hung on the wall;

FIG2 is a diagram showing a use state of an edge data processor in a wireless health monitoring device in an embodiment when the edge data processor is in a vertical structure;

FIG3 is a schematic diagram of the unfolded structure of the sensor module with a wristband;

FIG4 is a schematic diagram of the structure of a sensor module with a wristband in an embodiment after the wristband is bent;

FIG5 is a schematic diagram of the internal structure of the sensor module housing after being opened in the embodiment;

FIG6 is a schematic diagram of the structure of an edge data processor with a display screen in an embodiment;

FIG7 is a schematic diagram of the back structure of an edge data processor with a suspension frame in an embodiment;

FIG8 is a schematic diagram of the internal structure of an edge data processor in an embodiment.

DETAILED DESCRIPTION

In order to make the purpose, technical scheme and advantages of the embodiment of the utility model clearer, the technical scheme in the embodiment of the utility model will be clearly and completely described below in conjunction with the drawings in the embodiment of the utility model. Obviously, the described embodiment is a part of the embodiment of the utility model, not all of the embodiments. The components of the embodiment of the utility model generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiment of the utility model provided in the drawings is not intended to limit the scope of the utility model claimed for protection, but merely represents the selected embodiment of the utility model. Based on the embodiments in the utility model, all other embodiments obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the utility model.

It should be noted that similar numbers and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. In the description of the utility model, it should be noted that the orientation or position relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside", etc. is based on the orientation or position relationship shown in the drawings, or the orientation or position relationship in which the invention product is usually placed when used, which is only for the convenience of describing the utility model and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the utility model. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance. In addition, the terms "horizontal", "vertical", etc. do not mean that the components are absolutely horizontal or suspended, but can be slightly tilted. For example, "horizontal" only means that its direction is more horizontal than "vertical", and does not mean that the structure must be completely horizontal, but can be slightly tilted. In the description of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

As shown in Figures 1 to 8, this embodiment provides a wireless health monitoring device, including multiple sensor modules 1 that can be worn on the body of the monitored person and at least one edge data processor 6 placed in the monitored space, each sensor module 1 is provided with a PCB board 3 and an ultra-high frequency RF radio frequency antenna 11 connected to the PCB board 3, and a low-power radio frequency MCU chip 31, an RF-DC power conversion module, an electric energy storage module 33 and multiple sensors are provided on the PCB board 3 of each sensor module 1; each sensor in each sensor module 1 is connected to the low-power radio frequency MCU chip 31 through an interface, and the electric energy storage module 33 is electrically connected to each sensor and the low-power radio frequency MCU chip 31; the edge data processor 6 has a built-in communication module, a battery 63 and a data processing module 62, and the communication module includes an ultra-high frequency RF radio frequency flat antenna 61 and a wireless communication module; the battery is used to power the communication module and the data processing module 62;

The sensor is used to collect one or more data of the temperature, humidity, heart rate, electrocardiogram, electroencephalogram, pulse, blood oxygen, movement, vibration, and sweat secretion of the monitored person, and transmit the collected data to the low-power RF MCU chip 31; the RF-DC power conversion module 34 is used to convert the received RF radio frequency energy into direct current to charge the power storage module 33; the low-power RF MCU chip 31 is used to store and receive the collected data sent by the corresponding sensor module 1, and after the ultra-high frequency RF radio frequency antenna and the ultra-high frequency RF radio frequency flat antenna 61 establish a communication connection, the collected data is sent to the data processing module 62 (i.e., the SOC chip i.MX 8ULP); at the same time, the low-power RF MCU chip 31 is also used to monitor the power of the power storage module 33, and when the power voltage of the power storage module 33 is insufficient, the charging indication data of insufficient power is sent to the ultra-high frequency RF radio frequency flat antenna 61 of the edge data processor 6 through the ultra-high frequency RF radio frequency antenna;

The edge data processor 6 receives the charging indication data and sensor acquisition data issued by each sensor module 1 through the ultra-high frequency RF radio frequency flat antenna 61, and transmits the received data to the data processing module 62; the data processing module 62 is used to receive multiple sensor module 1 acquisition data uploaded by each RF sensor module 1, convert and analyze the received sensor module 1 acquisition data into original numerical values, obtain various monitoring parameter data, and extract data features and conduct data model learning and training for the monitoring parameter data; at the same time, the data processing module 62 can also transmit an empty carrier to the corresponding sensor module 1 through the ultra-high frequency RF radio frequency flat antenna 61 after receiving the charging indication data, and after establishing a radio frequency signal with the ultra-high frequency RF radio frequency antenna 11 of the sensor module 1, generate an induced voltage, and charge the electric energy storage module 33 of the sensor module 1 after boosting and rectifying through a voltage doubling rectifier circuit.

In this way, the detection device includes multiple sensor modules 1 and edge data processors 6, and the two perform RF power supply and RF communication based on ultra-high frequency RF (915MHz). There are two types of RF signals received by the sensor module 1, one is an empty carrier (without communication information), and the other is a modulated wave (including communication information). If the received RF signal is an empty carrier signal, the sensor module 1 uses the above-mentioned received video energy for charging, and converts the spatial RF energy into direct current through the built-in RF-DC power conversion module of the sensor module 1 to power the transmission power storage module 33. Finally, the power storage module 33 powers each sensor and the low-power RF MCU chip 31. The above-mentioned charging and communication are all completed directly in a monitoring space, and there is no need to set up direct contact between charging and communication. Charging and use are relatively convenient, and there is no need for charging by the monitored person. The low-power RF MCU chip 31 of the sensor module 1 has low power consumption and does not require data processing. It can also send charging indication data when the power storage module 33 is insufficient, so that the ultra-high frequency RF radio frequency flat antenna 61 of the edge data processor 6 sends out an empty carrier to power the power storage module 33. At the same time, the sensor module 1 used does not directly participate in data processing, has no built-in battery, has a small overall weight, a small volume, and no external communication lines or wires. After wearing, it will not affect the activities of the person being tested, and can achieve non-sensing wear. Each sensor module 1 has multiple sensors built in, and the sensors can be used to monitor a variety of body data and are suitable for different monitoring needs. The monitored person can wear them at different positions according to the monitoring position required by the monitoring item, and a person being tested can wear multiple sensor modules 1 at the same time. The edge data processor 6 used can receive and process the data of the sensor module 1 connected to it. Data acquisition and data processing are implemented using different devices, which can realize the miniaturization of the equipment, and the power consumption required by the sensor module 1 in the application is also 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 rectifier circuit. After the RF antenna receives the RF signal, the LC resonant circuit resonates and generates an induced voltage. The induced voltage is only at the mV level and needs to be boosted and rectified by the voltage doubling rectifier circuit to charge the energy storage module 33 (energy storage capacitor array). The low-power RF MCU chip 31, sensor, etc. in the sensor module 1 only need a low voltage of 2-3V to work reliably. After the energy storage module 33 is fully charged, it can meet the power demand of the sensor module 1 to transmit data more than ten times. In this way, multiple sensor modules 1 are staggered and charged, and system communication and charging are performed alternately.

Furthermore, the sensor module 1 is connected with a connector for connecting to the body of the monitored person, and the connector is a wristband 2, on which at least one flexible solar panel 5 is embedded, and the flexible solar panel 5 can provide electrical energy in a lighted environment to charge the electric energy storage module 33. In a specific implementation, the connector can also be a strap or adhesive. In this way, the connector provided on the sensor module 1 can be worn on the human body by the wearer. If the wristband 2 is used, it can be worn on the wrist, and if the strap is used, it can be set on the head and other positions. If the adhesive is used, it can be applied to multiple parts of the body and will not affect the action. After the flexible solar panel 5 is provided on the connector, in addition to the radio frequency charging method, the sensor module 1 can also store energy through the flexible solar panel 5 in a lighted environment, and then charge the electric energy storage module 33 to power the sensor module 1.

Furthermore, the sensors on the sensor module include body temperature sensors, humidity sensors, PPG sensors, ECG sensors, GSR skin conductivity sensors, bone vibration sensors, and motion sensors. Body temperature sensors and humidity sensors can be set in different positions to measure the local temperature and humidity changes of multiple parts of the human body, making the detection more accurate. Humidity sensors are set on objects around the human body to monitor changes in environmental humidity. (For example, if they are set on sheets, they can monitor whether bedridden patients are incontinent or sweating abnormally). PPG (photoplethysmography) sensor: measures heart rate and blood oxygen. It can be set in multiple places such as the wrist and chest to collect the same type of data and perform data fusion processing to improve the accuracy of the data. ECG (electroencephalogram) sensor: It can be set in multiple places on the forehead and chest to form multi-lead data collection and improve the accuracy of data collection. GSR skin conductivity sensor: When the human body is stimulated by sensory stimulation or changes in emotions, the blood vessels in the skin will contract and dilate, the sweat glands of the human body will be activated and change, and then secrete water, which enters the skin surface through the pores. The ions in the secretion fluid change the positive and negative balance of the current. By measuring this conductivity change of the skin and combining it with the data processing algorithm model, the emotional state of the person being monitored can be inferred and predicted. Vibration and motion sensors: Collect motion and vibration data at multiple locations of the human body to infer and determine the activity status of the person being monitored at present or within a monitoring period.

Furthermore, a power input interface is provided on the back of the edge data processor 6, and the ultra-high frequency RF radio frequency flat antenna 61 is placed on the front of the edge data processor 6; a mounting bracket is provided on the back of the edge data processor 6, and the mounting bracket is a suspension bracket or a stand. The suspension bracket includes a mounting seat and a U-shaped bracket, a rotating shaft is provided on the mounting seat, and the two ends of the U-shaped bracket are fixedly connected to the rotating shaft, and a plurality of fixing screw holes are provided at intervals on the U-shaped bracket. In this way, the edge data processor 6 can be directly charged for its built-in battery through an external power cord, and the use position of the edge data processor 6 is fixed. This method of power supply is convenient and fast. When installing, the edge data processor 6 can be directly placed on the ground through a stand, or it can be suspended on the wall through a suspension bracket. The U-shaped bracket on the suspension bracket can be rotated to adjust the angle. In specific implementation, a positioning mechanism can be provided, and after the angle is adjusted in place, it is fixed in the current state, so that the edge data processor 6 can better cover a larger area.

Furthermore, a speaker and a microphone are also provided in the edge data processor 6, and the data processing module 62 is a high-performance IoT edge computing SOC chip with a built-in edge AI/ML processing unit; the speaker is driven by the data processing module 62 through an audio output interface; the microphone is connected to the data processing module 62 through an IIC interface to collect the sound of the monitoring site; the wireless communication module includes 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, which is connected to the data processing module 62 through an SPI interface, the WIFI communication module is connected to the data processing module 62 through a USB interface, and the 4G/5G communication module is connected to the data processing module 62 through a Mini-PCIe interface. In this way, the microphone is set at the edge data processor 6 end to collect on-site audio and assist in judging the state of the person being monitored (such as coughing, snoring, etc.). The speaker can directly emit a buzzer or warning warning after the motion feature model detects an emergency. The wireless communication module in the edge data processor 6 can send the processing results of the data processing module to the user or the back-end monitoring personnel through a variety of communication methods. This multi-mode communication method can directly start another communication line to send data when one of the communication lines is blocked, which can effectively ensure that the communication line is not missed or faulty.

Furthermore, a data display screen 64 is connected next to the edge data processor 6, and the data display screen 64 is used to display the processed data of the data processing module 62. In this way, the data display screen connected next to the edge data processor 6 can be used to display the processing results for the monitored personnel to view.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the utility model rather than to limit the technical solution. Ordinary technicians in this field should understand that those modifications or equivalent replacements of the technical solution of the utility model without departing from the purpose and scope of the technical solution should be included in the scope of the claims of the utility model.

Claims (8)

1. The wireless medical health detection device is characterized by comprising a plurality of sensor modules capable of being worn on a person to be monitored and at least one edge data processor placed in a monitored space, wherein a PCB and an ultrahigh frequency RF radio frequency 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; 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 electrically connected with the communication module and the data processing module; the ultra-high frequency RF flat antenna is used for transmitting an empty carrier wave or a modulated wave to the ultra-high frequency RF antenna of the corresponding sensor module, and when the empty carrier wave is transmitted and modulated, a radio frequency signal is established with the ultra-high frequency RF antenna to generate an induced voltage so as to charge the electric energy storage module of the sensor module.

2. The wireless medical health detection device according to claim 1, wherein the sensor is configured to collect one or more data of temperature, humidity, heart rate, electrocardiograph, electroencephalogram, pulse, blood oxygen, exercise, vibration, sweat secretion of the monitored person, and transmit 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 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 through the ultrahigh frequency RF antenna; meanwhile, the low-power consumption radio frequency MCU chip is also used for sending charging indication data to the edge data processor through the ultrahigh frequency RF antenna;

The edge data processor is used for receiving the charging indication data and the sensor acquisition data sent by each sensor module and transmitting the received data to the data processing module; the data processing module is used for receiving and processing the collected data of the plurality of sensor modules uploaded by each RF sensor module and the charging indication data sent by the sensor modules.

3. The wireless medical health detection device according to claim 1 or 2, 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.

4. The wireless medical health detection device of claim 3, 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.

5. The wireless medical health detection device of claim 1, 2 or 4, wherein the sensor on the sensor module 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.

6. The wireless medical health detection device according to claim 5, wherein a power input interface is arranged on the back surface of the edge data processor, and the ultra-high frequency RF flat antenna is arranged on the front surface 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.

7. The wireless medical health detection device according to claim 6, 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.

8. The wireless medical health detection device of claim 7, wherein a data display is further connected to the edge data processor.