A head-mounted multi-physiological parameter detection system and detection method thereof
By designing a head-mounted multi-physiological parameter detection system and integrating detection front-end, storage, display, communication and control modules, the problems of low accuracy and slow speed of human impedance detection in the prior art are solved, and fast and accurate multi-physiological parameter detection is achieved, which is suitable for health monitoring and portable use.
Patent Information
- Application Number
- CN202210861323.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-07-22
- Publication Date
- 2025-03-28
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing portable impedance systems have problems such as narrow excitation frequency range, low detection frequency, low detection accuracy and long detection time, making it difficult to achieve accurate and efficient detection of human impedance information.
A head-mounted multi-physiological parameter detection system is designed, and a multi-physiological parameter integrated detection device is adopted, including a multi-physiological parameter integrated detection front-end, measurement data storage module, screen display module, wireless communication module and microcontroller module. Through the forehead electrode unit, finger electrode detection unit and optical signal transmission/receiving unit, the amplitude information and phase angle information of the human body's pulse rate, blood oxygen, body temperature, and human body impedance are collected, and the detection accuracy is improved through the gain phase detection circuit and calibration circuit.
It realizes the rapid and accurate detection of multiple physiological parameters of the human body, including impedance, blood oxygen, pulse rate and body temperature. The detection speed is fast and the accuracy is high. It is suitable for monitoring human health and has the advantages of low power consumption, portability and low cost.
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Figure CN115316943B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of human physiological signal detection, and in particular to a head-mounted multi-physiological parameter detection system and a detection method thereof. Background Art
[0002] Human body impedance information, blood oxygen information, pulse rate information and body temperature information are important physiological parameters of the human body. Portable detection devices integrating multiple physiological parameters have emerged one after another, most of which focus on the integration of blood oxygen information, pulse rate information, ECG signal and body temperature information detection modules, and have not yet realized the integrated detection of human body impedance information. Existing portable impedance systems generally have a narrow excitation frequency range, the detection frequency is often lower than 512kHz, and there are shortcomings such as low detection accuracy and long detection time. Summary of the invention
[0003] The first purpose of the present invention is to overcome the shortcomings and deficiencies of the prior art and to provide a head-mounted multi-physiological parameter detection system that can conveniently, quickly, safely, non-invasively, accurately and reliably obtain important physiological parameters of human body impedance, blood oxygen, pulse rate and body temperature, and has the advantages of low power consumption, portability and low cost. It can be used to monitor human health and is suitable for personal and family use scenarios.
[0004] A second object of the present invention is to provide a detection method for a head-mounted multi-physiological parameter detection system.
[0005] The first object of the present invention is achieved by the following technical solution: a head-mounted multi-physiological parameter detection system, comprising a multi-physiological parameter integrated detection device and a host; the multi-physiological parameter integrated detection device comprises a multi-physiological parameter integrated detection front end, a measurement data storage module, a screen display module, a wireless communication module and a microcontroller module; wherein:
[0006] The multi-physiological parameter integrated detection front end is used to collect pulse rate information, blood oxygen information, body temperature information, and amplitude information and phase angle information of human body impedance, and transmit them to the measurement data storage module and the host respectively;
[0007] The measurement data storage module is used to store the pulse rate information, blood oxygen information, body temperature information and amplitude and phase angle information of human body impedance acquired by the multi-physiological parameter integrated detection front end;
[0008] The screen display module is used to display the real-time detection progress of the multi-physiological parameter integrated detection front end and the human physiological information collected by the multi-physiological parameter integrated detection device;
[0009] The wireless communication module is used for data communication between the multi-physiological parameter integrated detection front end and the host;
[0010] The microcontroller module is used to receive the operation instructions sent by the host, and respectively control the multi-physiological parameter integrated detection front end, the measurement data storage module, the screen display module and the wireless communication module to complete the collection, storage, display and data transmission of physiological parameters;
[0011] The host is used to control the physiological information collection process of the multi-physiological parameter integrated detection device, receive the collected physiological information, and store, display and analyze the collected physiological information.
[0012] Furthermore, the multi-physiological parameter integrated detection front end includes a first detection component for detecting amplitude information and phase angle information of human body impedance, a second detection component for detecting pulse rate and blood oxygen, and a third detection component for detecting body temperature;
[0013] The first detection component includes a forehead electrode unit and a finger electrode detection unit; the forehead electrode detection unit is a head-mounted detection structure, which is respectively provided with a forehead signal excitation electrode and a forehead signal detection electrode; the finger electrode detection unit includes ten pairs of finger detection electrode groups, which correspond to ten fingers of the human body respectively, and each pair of finger detection electrode groups includes a finger side signal excitation electrode and a finger side signal detection electrode, which are distributed on the left and right sides of the fingers, and the surfaces of the finger side signal excitation electrode and the finger side signal detection electrode are respectively designed as arc surfaces according to the structure of the ten fingers to fit the two sides of the ten fingers; the ten pairs of finger detection electrode groups included in the forehead electrode detection unit and the finger electrode detection unit respectively constitute a human body impedance four-electrode detection path, and the forehead signal excitation electrode and the finger side signal excitation electrode constitute a current loop of a sinusoidal current excitation signal within a frequency range of 1MHz, and the forehead signal detection electrode and the finger side signal detection electrode are responsible for obtaining the amplitude information and phase angle information of the human body impedance detection signal. Based on the human body impedance four-electrode detection path, the amplitude information and phase angle information of the human body impedance from the side of each finger to the forehead can be obtained through the gain phase detection circuit;
[0014] The second detection component includes an optical signal transmitting unit and an optical signal receiving unit; the optical signal transmitting unit is provided with a red light source and an infrared light source, respectively transmitting red light and infrared light to the human body as detection light sources; the optical signal receiving unit is used to convert the reflected light signal received from the optical signal transmitting unit into an electrical signal, and calculate the pulse rate and blood oxygen information of the human body in combination with the photoplethysmography method;
[0015] The third detection component is composed of a digital thermopile infrared temperature sensor and is used for non-contact infrared human body temperature measurement.
[0016] Furthermore, the measurement data storage module is used to temporarily store human physiological information collected by the multi-physiological parameter integrated detection front end, and when the wireless communication module is connected to the host for communication, the stored human physiological information is sent to the host for storage, processing and display.
[0017] Furthermore, the microcontroller module is connected to the multi-physiological parameter integrated detection front end through the IIC and ADC interface; the microcontroller module is connected to the screen display module through the IIC interface; the microcontroller module is connected to the measurement data storage module through the SPI interface; the microcontroller module is connected to the wireless communication module through the UART interface.
[0018] Furthermore, for the finger detection electrode group, five grooves are provided according to the structure of five fingers on each hand, wherein an independent electrode is provided on the left and right sides of each of the five grooves, and the electrode surface is a concave arc surface to fit the surfaces on both sides of the fingers. The raised parts between the grooves isolate the grooves from each other. There are five pairs of electrodes for each hand and ten pairs of electrodes for both hands.
[0019] Furthermore, the head-mounted detection structure is provided with two independent upper and lower electrodes at the center of the forehead, wherein the upper side is a forehead signal excitation electrode, and the lower side is a forehead signal detection electrode, the second detection component is located on the left side of the head-mounted structure, and the third detection component is located on the right side of the head-mounted detection component; the head-mounted detection structure is elastic to adapt to head structures of different sizes and forehead surfaces.
[0020] Furthermore, the frequency of the sinusoidal current excitation signal is 20 frequencies selected from the range of 5.86 kHz to 1 MHz.
[0021] Furthermore, the sinusoidal current excitation signal is generated by a combination of a digital sinusoidal signal generator and a voltage-controlled current source circuit. A frequency switching instruction is sent to the digital sinusoidal signal generator through a microcontroller module, and a sinusoidal current excitation signal with an output amplitude of 0.5 mA and different frequencies can be selected; the gain phase detection circuit can detect the amplitude ratio and phase difference of the two input sinusoidal voltage signals within a frequency range of 2.4 GHz, and obtain the analog level output value of the gain phase detection circuit through the AD pin of the microcontroller module, so as to calculate and obtain the amplitude information and phase angle information data of the human body impedance; in addition, a special calibration circuit is designed to eliminate the detection error of the first detection component and improve the detection accuracy; the calibration circuit uses resistors and capacitors to form a three-element model simulating the human body, and switches the detection and calibration modes through an analog switch circuit. In the calibration mode, the three-electrode method is used to detect the three-element model and the pure resistor respectively, and the calibration parameters are obtained to eliminate the detection error of the component, so as to collect accurate amplitude information and phase angle information of the human body impedance.
[0022] Furthermore, the first detection component generates a sinusoidal excitation current signal with a specific frequency amplitude of 0.5mA, wherein the forehead signal excitation electrode and the finger side signal excitation electrode constitute a current loop of the sinusoidal excitation current signal, and the human body impedance signal from the forehead to the finger side is obtained through the forehead signal detection electrode and the finger side signal detection electrode, and the human body impedance signal is input into the gain phase detection circuit, the output signal of the gain phase detection circuit is read through the microcontroller module, and the amplitude information and phase angle information of the human body impedance are calculated in combination with the calibration parameters obtained through the calibration circuit; similarly, by switching the finger side detection electrode group through the analog switch circuit, the impedance amplitude information and phase angle information from ten fingers to the forehead can be obtained.
[0023] The second purpose of the present invention is achieved through the following technical solutions: a detection method for a head-mounted multi-physiological parameter detection system, the specific process is: when starting the detection, the user sends a detection instruction through the host, the multi-physiological parameter integrated detection front end collects human body impedance information and body temperature data in turn, and detects the human body's pulse rate information and blood oxygen information in real time during the signal acquisition process. After the acquisition is completed, the collected physiological information is sent to the measurement data storage module for storage, and the data is sent to the host through the wireless communication module for display, processing and storage; wherein, the screen display module displays the current detection status, including start, detection, pause, abnormal reminder and end, and displays the human body's pulse rate information and blood oxygen information during the acquisition process in real time.
[0024] Compared with the prior art, the present invention has the following advantages and beneficial effects:
[0025] 1. Use a digital frequency synthesizer with a voltage-controlled current source circuit for signal excitation to output a stable sinusoidal current signal within a frequency range of 1MHz;
[0026] 2. A head-mounted detection structure is adopted, and the forehead electrode unit in the first detection component, the second detection component and the third detection component are all located in the head-mounted detection structure; through two independent forehead signal excitation electrodes and forehead signal detection electrodes in the center of the forehead, and the finger electrode detection units of the ten fingers, a 4-electrode detection path is formed. Among them, the electrodes on both sides of each finger can switch channels through an analog switch circuit, and can be freely set as finger-side signal excitation electrodes or finger-side signal detection electrodes. Therefore, 2 channels of human body impedance information can be collected from the center of the forehead to each finger, and a total of 20 channels of human body impedance information can be collected for both hands. The human body impedance information on the finger side of both hands collected using the head-mounted detection structure and the finger side electrode group, combined with the analysis of the large amount of data collected, shows that the finger side impedance information of both hands of people with different health conditions is significantly different. By collecting and analyzing the impedance information of 20 channels on the finger side of both hands, the current health status of the subject can be evaluated.
[0027] 3. The impedance detection speed is fast. The detection time of 20 channels of human body impedance is less than 60 seconds, and the detection time of all physiological information is less than 90 seconds.
[0028] 4. The current excitation frequency range is 0-1MHz, which can accurately detect the amplitude and phase angle information of human body impedance under the condition of high-frequency sinusoidal current excitation.
[0029] In summary, the present invention provides a fast, convenient, accurate and reliable integrated detection technology for the detection of human physiological parameters such as multi-channel impedance, blood oxygen, pulse rate and body temperature. BRIEF DESCRIPTION OF THE DRAWINGS
[0030] Figure 1 This is the architectural diagram of the integrated detection device for multiple physiological parameters.
[0031] Figure 2 Schematic diagram of the structure of the finger detection electrode group.
[0032] Figure 3 This is a schematic diagram of the structure of the forehead electrode detection unit.
[0033] Figure 4 This is the detection flow chart of the head-mounted multi-physiological parameter detection system. DETAILED DESCRIPTION
[0034] The present invention is further described in detail below in conjunction with embodiments and drawings, but the embodiments of the present invention are not limited thereto.
[0035] like Figure 1 As shown, this embodiment provides a head-mounted multi-physiological parameter detection system, including a multi-physiological parameter integrated detection device and a host; the multi-physiological parameter integrated detection device includes a multi-physiological parameter integrated detection front end, a measurement data storage module, a screen display module, a wireless communication module and a microcontroller module; wherein:
[0036] The multi-physiological parameter integrated detection front end is used to collect pulse rate information, blood oxygen information, body temperature information, and amplitude information and phase angle information of human body impedance, and transmit them to the measurement data storage module and the host respectively;
[0037] The measurement data storage module is used to store the pulse rate information, blood oxygen information, body temperature information and amplitude and phase angle information of human body impedance acquired by the multi-physiological parameter integrated detection front end;
[0038] The screen display module is used to display the real-time detection progress of the multi-physiological parameter integrated detection front end and the human physiological information collected by the multi-physiological parameter integrated detection device;
[0039] The wireless communication module is used for data communication between the multi-physiological parameter integrated detection front end and the host;
[0040] The microcontroller module is used to receive the operation instructions sent by the host, and respectively control the multi-physiological parameter integrated detection front end, the measurement data storage module, the screen display module and the wireless communication module to complete the collection, storage, display and data transmission of physiological parameters;
[0041] The host is used to control the physiological information collection process of the multi-physiological parameter integrated detection device, receive the collected physiological information, and store, display and analyze the collected physiological information.
[0042] Specifically, the multi-physiological parameter integrated detection front end includes a first detection component for detecting amplitude information and phase angle information of human body impedance, a second detection component for detecting pulse rate and blood oxygen, and a third detection component for detecting body temperature;
[0043] The first detection component includes a forehead electrode unit and a finger electrode detection unit; the forehead electrode detection unit is respectively provided with a forehead signal excitation electrode and a forehead signal detection electrode; the finger electrode detection unit includes ten pairs of finger detection electrode groups, corresponding to ten fingers of the human body respectively, each pair of finger detection electrode groups includes a finger side signal excitation electrode and a finger side signal detection electrode, which are distributed on the left and right sides of the finger, and the surfaces of the finger side signal excitation electrode and the finger side signal detection electrode are respectively designed as arc-shaped surfaces according to the structure of the ten fingers to fit the two sides of the ten fingers, and the electrodes in the finger detection electrode group are made of 307 stainless steel, such as Figure 2 As shown, the two sides of the electrode are connected by a spring. When a finger is inserted into the hole between the two electrodes, the spring will automatically open the electrode to clamp the finger. The ten pairs of finger detection electrode groups included in the forehead electrode detection unit and the finger electrode detection unit respectively constitute a four-electrode detection path for human body impedance. The forehead signal excitation electrode and the finger-side signal excitation electrode constitute a current loop of a sinusoidal current excitation signal within a frequency range of 1 MHz. The forehead signal detection electrode and the finger-side signal detection electrode are responsible for obtaining the amplitude information and phase angle information of the human body impedance detection signal. Based on the four-electrode detection path for human body impedance, the amplitude information and phase angle information of the human body impedance from the side of each finger to the forehead can be obtained through a gain phase detection circuit.
[0044] The second detection component includes an optical signal transmitting unit and an optical signal receiving unit; the optical signal transmitting unit is provided with a red light source and an infrared light source, respectively transmitting red light and infrared light to the human body as detection light sources; the optical signal receiving unit is used to convert the reflected light signal received from the optical signal transmitting unit into an electrical signal, and calculate the pulse rate and blood oxygen information of the human body in combination with the photoplethysmography method;
[0045] The third detection component is composed of a digital thermopile infrared temperature sensor and is used for non-contact infrared human body temperature measurement.
[0046] Specifically, the measurement data storage module is used to temporarily store the human physiological information collected by the multi-physiological parameter integrated detection front end, and when the wireless communication module is connected to the host for communication, the stored human physiological information is sent to the host for storage, processing and display.
[0047] Specifically, the microcontroller module is connected to the multi-physiological parameter integrated detection front end through the IIC and ADC interface; the microcontroller module is connected to the screen display module through the IIC interface; the microcontroller module is connected to the measurement data storage module through the SPI interface; the microcontroller module is connected to the wireless communication module through the UART interface.
[0048] Specifically, for the finger detection electrode group, five grooves are provided according to the structure of five fingers on each hand, wherein an independent electrode is provided on the left and right sides of each of the five grooves, and the electrode surface is a concave arc surface to fit the surfaces on both sides of the fingers. The raised parts between the grooves isolate the grooves from each other. There are five pairs of electrodes for each hand and ten pairs of electrodes for both hands.
[0049] Specifically, the forehead electrode detection unit is a head-mounted detection structure, such as Figure 3 As shown, the head-mounted detection structure is provided with two independent upper and lower electrodes at the center of the forehead, wherein the upper side is the forehead signal excitation electrode, and the lower side is the forehead signal detection electrode, the second detection component is located on the left side of the head-mounted structure, and the third detection component is located on the right side of the head-mounted detection component; the head-mounted detection structure adopts an elastic headband to adapt to head structures of different sizes and forehead surfaces, and is fixed with Velcro.
[0050] The frequency of the sinusoidal current excitation signal is 20 frequencies selected from the range of 5.86kHz to 1MHz.
[0051] The sinusoidal current excitation signal is generated by a combination of a digital sinusoidal signal generator and a voltage-controlled current source circuit. A frequency switching instruction is sent to the digital sinusoidal signal generator through a microcontroller module, and a sinusoidal current excitation signal with an output amplitude of 0.5 mA and different frequencies can be selected; the gain phase detection circuit can detect the amplitude ratio and phase difference of the two input sinusoidal voltage signals within a frequency range of 2.4 GHz, and obtain the analog level output value of the gain phase detection circuit through the AD pin of the microcontroller module, so as to calculate and obtain the amplitude information and phase angle information data of the human body impedance; in addition, a special calibration circuit is designed to eliminate the detection error of the first detection component and improve the detection accuracy; the calibration circuit uses resistors and capacitors to form a three-element model simulating the human body, and switches the detection and calibration modes through an analog switch circuit. In the calibration mode, the three-electrode method is used to detect the three-element model and the pure resistor respectively, and the calibration parameters are obtained to eliminate the detection error of the component, so as to collect accurate amplitude information and phase angle information of the human body impedance.
[0052] The first detection component generates a sinusoidal excitation current signal with a specific frequency amplitude of 0.5mA, wherein the forehead signal excitation electrode and the finger side signal excitation electrode constitute a current loop of the sinusoidal excitation current signal, and the human body impedance signal from the forehead to the finger side is obtained through the forehead signal detection electrode and the finger side signal detection electrode, and the human body impedance signal is input into the gain phase detection circuit, the output signal of the gain phase detection circuit is read through the microcontroller module, and the amplitude information and phase angle information of the human body impedance are calculated in combination with the calibration parameters obtained through the calibration circuit; similarly, by switching the finger side detection electrode group through the analog switch circuit, the impedance amplitude information and phase angle information from ten fingers to the forehead can be obtained.
[0053] Preferably, in the first detection component, a high slew rate, wide bandwidth, and low noise AD8014 instrument amplifier chip is selected to form a three-op amp current source circuit to provide a stable and reliable sinusoidal excitation current signal for human body impedance detection. The current amplitude is about 0.5 mA, and the excitation output frequency range is 1 Hz to 1 MHz.
[0054] Preferably, AD8302 is selected as the gain phase detection chip for detecting the impedance amplitude and phase angle information of the human body to obtain the impedance information of the tested human body, wherein the AD8302 detection chip is capable of detecting the amplitude ratio and phase difference information of two input signals in the range from low frequency to 2.4 GHz, and outputting them through two analog level signals, and detecting the analog level signal through the AD pin of the microcontroller module to obtain the impedance information of the human body.
[0055] Preferably, ADG1606 and ADG1634 analog switch chips are used in combination with three components and static resistors to form a measurement four-electrode detection circuit and a system parameter calibration circuit, wherein ADG1634 is used to switch between measurement and system calibration modes. In the measurement mode, four ADG1606 chips constitute a four-electrode multi-channel acquisition circuit at the measurement end. In the system calibration mode, two ADG1606 chips and three components consisting of resistors and capacitors with a tolerance of 0.1% are used to design a system calibration circuit with static resistors to eliminate system errors, wherein the static resistor parameters are: 100ohm, 200ohm, 300ohm…, 1000ohm; the three component parameters are:
[0056] Re1=510ohm, Ri1=510ohm, Cm1=1nF, Re2=510ohm, Ri2=510ohm, Cm2=2.2nF.
[0057] Preferably, the second detection component uses the MAX30102 integrated pulse rate and blood oxygen detection chip as the core for design, and uses photoplethysmography as the detection principle. Through the optical detection signal composed of red light and infrared light, the magnitude of the reflected light is measured to calculate the pulse rate and blood oxygen information of the human body; the MAX30102 chip is initialized and configured through the IIC communication protocol port of the microcontroller module, and the parameters are set as follows: the magnitude of the red light and infrared light current is about 14mA, the AD sampling rate is 100Hz, and the sampling accuracy is 18bit. The collected data is transmitted to the MCU through the IIC communication port for calculation and processing to obtain the pulse rate and blood oxygen information of the human body.
[0058] Preferably, the third detection component uses a DS18B20 digital temperature sensor, which obtains the measured temperature digital signal through a single-line full-duplex communication method. It has the characteristics of small size, strong anti-interference ability, and high precision. The minimum resolution can reach 0.0625°C, which can meet the needs of human body temperature measurement.
[0059] Preferably, the microcontroller module uses ST's STM32F103ZET6 processing chip, whose processor core is Cortex-M3, the clock frequency is 72MHz, it has 144 chip pins, and has multiple I / O ports with multiple functions such as IIC, SPI, USART, UART, ADC, etc., which can meet the control pin usage requirements of this design.
[0060] Preferably, the overall power supply scheme of the system is as follows: a lithium battery with a rated voltage of 3.7V and a capacity of 2400mAh is selected to power the system; a TC4056A lithium battery charging and discharging chip is selected to control the charging and discharging of the lithium battery, wherein the charging current is set to 0.24A; a TPS61032PWPR dynamic input fixed output DC-DC power supply chip is selected to boost the power output of the lithium battery to 5.0V, thereby providing a stable power supply for the VDD power supply end of the system; an LM2662 chip is selected to reverse the polarity of VDD to obtain a -5.0V VSS power supply; a TLV1117-33IDCYR chip is used to step down VDD to obtain a stable 3.3V VCC power supply to power the MCU and other modules of the system; at the same time, a TLV1117-25 chip is used to step down the VCC power supply to obtain a stable low-voltage ripple 2.5V power supply to power the ADC power supply input end of the STM32 chip to ensure that a stable and low-noise AD sampling value is obtained.
[0061] Preferably, the measurement data storage module uses a W25Q128 storage chip, and the MCU module uses the SPI communication protocol to read and write data to the storage chip, which is used to store the system calibration parameters in the impedance measurement module after the system is turned on, as well as the pulse rate, blood oxygen and human body temperature data measured during the test. After the measurement process is completed, the measurement data is uploaded to the server through the WIFI module;
[0062] Preferably, the wireless communication module uses the ESP8266 chip to design a WIFI module. The chip integrates the industry-leading Tensilica L106 ultra-low power 32-bit micro MCU in a smaller package, with a 16-bit streamlined mode, and supports main frequencies of 80 MHz and 160 MHz. It can run as a slave MCU carried in this system. The WIFI function can be realized by controlling the module through the UART interface. The host can control the commands of the multi-physiological parameter integrated detection device and the transmission of detection data of the multi-physiological parameter integrated detection device to the host through the wireless communication module.
[0063] Preferably, the screen display module uses a 0.96-inch OLED monochrome display module with a resolution of 128*64. OLED has the advantages of self-luminescence, no need for a backlight source, high contrast, wide viewing angle and low power consumption. The OLED monochrome display module is controlled through the IIC protocol and is mainly used to display measurement parameters such as the current measurement status, pulse rate and blood oxygen measurement values, body temperature detection values, and graphic images such as the company's LOGO.
[0064] like Figure 4 As shown, the detection process of the head-mounted multi-physiological parameter detection system in this embodiment comprises the following steps:
[0065] 1) Start up and initialize the configuration information of each functional pin of the microcontroller module, including the SPI port for controlling the current source output and measuring the data storage module W25Q128 chip, the ADC port for reading the output level of the AD8302 gain phase detection chip, the IIC port for the OLED monochrome display module and the MAX30102 integrated pulse rate and blood oxygen detection chip, the single bus interface of the DS18B20 digital temperature sensor, the UART interface for controlling the WIFI module ESP8266 chip, and the configuration information of the high and low level output I / O port for controlling the analog switch circuit.
[0066] 2) Calibration: By switching the ADG1634 and ADG1606 analog switch chips, the static resistance and the human body three-element model with different impedance amplitudes and phase angles are measured respectively, the corresponding impedance amplitude and phase angle calibration parameters are obtained, and the calibration parameters are transmitted to the W25Q128 chip for storage.
[0067] 3) Wear the forehead electrode detection unit and place it in the center of the forehead. At the same time, keep the forehead electrode detection unit in full contact with the forehead skin to avoid being blocked by materials such as hair, which may cause inaccurate measurement results.
[0068] 5) Clamp your fingers and place your ten fingers on the finger electrode detection unit, keeping your fingers clean and in full contact with the detection electrodes.
[0069] 6) Pre-detection: quickly switch the detection frequency of the first detection component to pre-acquire human body impedance information, and use the second detection component to detect human pulse rate, blood oxygen value and body temperature. Combined with the normal value range, determine whether the subject has good contact with the system. If it is outside the normal value range, prompt the subject to adjust the posture; if it is within the normal value range, prepare for formal detection.
[0070] 7) Officially start the detection, turn on the second detection component to detect the human pulse rate and blood oxygen values, and use the first detection component at the same time, set different frequency excitation currents as needed, detect the 20-channel electrical impedance values of the human body at each frequency, and then start the third detection component to detect the human body temperature data; after the measurement is completed, store the data in the measurement data storage module, and wait for the data display call and data transmission.
[0071] 8) Parameter display: the pulse rate, blood oxygen value, finger impedance information parameters and human body temperature measurement results detected during the measurement process are displayed in real time on the screen display module.
[0072] 9) Parameter transmission: After the physiological parameter measurement is completed, the wireless communication module is turned on, the measurement data stored in the measurement data storage module is retrieved and transmitted to the host through the wireless communication module for storage and data processing.
[0073] 10) End the test.
[0074] The above embodiments are preferred implementation modes of the present invention, but the implementation modes of the present invention are not limited to the above embodiments. Any other changes, modifications, substitutions, combinations, and simplifications that do not deviate from the spirit and principles of the present invention should be equivalent replacement methods and are included in the protection scope of the present invention.
Claims
1. A head-mounted multi-physiological parameter detection system, characterized in that: It includes a multi-physiological parameter integrated detection device and a host; the multi-physiological parameter integrated detection device includes a multi-physiological parameter integrated detection front end, a measurement data storage module, a screen display module, a wireless communication module and a microcontroller module; wherein: The multi-physiological parameter integrated detection front end is used to collect pulse rate information, blood oxygen information, body temperature information, and amplitude information and phase angle information of human body impedance, and transmit them to the measurement data storage module and the host respectively; The measurement data storage module is used to store the pulse rate information, blood oxygen information, body temperature information and amplitude and phase angle information of human body impedance acquired by the multi-physiological parameter integrated detection front end; The screen display module is used to display the real-time detection progress of the multi-physiological parameter integrated detection front end and the human physiological information collected by the multi-physiological parameter integrated detection device; The wireless communication module is used for data communication between the multi-physiological parameter integrated detection front end and the host; The microcontroller module is used to receive the operation instructions sent by the host, and respectively control the multi-physiological parameter integrated detection front end, the measurement data storage module, the screen display module and the wireless communication module to complete the collection, storage, display and data transmission of physiological parameters; The host is used to control the physiological information collection process of the multi-physiological parameter integrated detection device, receive the collected physiological information, and store, display and analyze the collected physiological information; The multi-physiological parameter integrated detection front end includes a first detection component for detecting amplitude information and phase angle information of human body impedance, a second detection component for detecting pulse rate and blood oxygen, and a third detection component for detecting body temperature; The first detection component includes a forehead electrode detection unit and a finger electrode detection unit; the forehead electrode detection unit is a head-mounted detection structure, which is respectively provided with a forehead signal excitation electrode and a forehead signal detection electrode; the finger electrode detection unit includes ten pairs of finger detection electrode groups, which correspond to ten fingers of the human body respectively, and each pair of finger detection electrode groups includes a finger side signal excitation electrode and a finger side signal detection electrode, which are distributed on the left and right sides of the fingers, and the surfaces of the finger side signal excitation electrode and the finger side signal detection electrode are respectively designed as arc surfaces according to the structure of the ten fingers to fit the two sides of the ten fingers; the ten pairs of finger detection electrode groups included in the forehead electrode detection unit and the finger electrode detection unit respectively constitute a human body impedance four-electrode detection path, the forehead signal excitation electrode and the finger side signal excitation electrode constitute a current loop of a sinusoidal current excitation signal within a frequency range of 1MHz, and the forehead signal detection electrode and the finger side signal detection electrode are responsible for obtaining the amplitude information and phase angle information of the human body impedance detection signal. Based on the human body impedance four-electrode detection path, the amplitude information and phase angle information of the human body impedance from the side of each finger to the forehead can be obtained through the gain phase detection circuit; The second detection component includes an optical signal transmitting unit and an optical signal receiving unit; the optical signal transmitting unit is provided with a red light source and an infrared light source, respectively transmitting red light and infrared light to the human body as detection light sources; the optical signal receiving unit is used to convert the reflected light signal received from the optical signal transmitting unit into an electrical signal, and calculate the pulse rate and blood oxygen information of the human body in combination with the photoplethysmography method; The third detection component is composed of a digital thermopile infrared temperature sensor, which is used for non-contact infrared human body temperature measurement; The sinusoidal current excitation signal is generated by a combination of a digital sinusoidal signal generator and a voltage-controlled current source circuit. A frequency switching instruction is sent to the digital sinusoidal signal generator through a microcontroller module, and a sinusoidal current excitation signal with an output amplitude of 0.5 mA and different frequencies can be selected; the gain phase detection circuit can detect the amplitude ratio and phase difference of the two input sinusoidal voltage signals within a frequency range of 2.4 GHz, and obtain the analog level output value of the gain phase detection circuit through the AD pin of the microcontroller module, so as to calculate and obtain the amplitude information and phase angle information data of the human body impedance; in addition, a special calibration circuit is designed to eliminate the detection error of the first detection component and improve the detection accuracy; the calibration circuit uses resistors and capacitors to form a three-element model simulating the human body, and switches the detection and calibration modes through an analog switch circuit. In the calibration mode, the three-electrode model and the pure resistor are detected respectively using a four-electrode method to obtain calibration parameters to eliminate the detection error of the component, so as to collect accurate amplitude information and phase angle information of the human body impedance; The first detection component generates a sinusoidal excitation current signal with a specific frequency amplitude of 0.5mA, wherein the forehead signal excitation electrode and the finger side signal excitation electrode constitute a current loop of the sinusoidal excitation current signal, and the human body impedance signal from the forehead to the finger side is obtained through the forehead signal detection electrode and the finger side signal detection electrode, and the human body impedance signal is input into the gain phase detection circuit, the output signal of the gain phase detection circuit is read through the microcontroller module, and the amplitude information and phase angle information of the human body impedance are calculated in combination with the calibration parameters obtained through the calibration circuit; similarly, by switching the finger side detection electrode group through the analog switch circuit, the impedance amplitude information and phase angle information from ten fingers to the forehead can be obtained.
2. A head-mounted multi-physiological parameter detection system according to claim 1, characterized in that: The measurement data storage module is used to temporarily store the human physiological information collected by the multi-physiological parameter integrated detection front end, and when the wireless communication module is connected to the host for communication, the stored human physiological information is sent to the host for storage, processing and display.
3. A head-mounted multi-physiological parameter detection system according to claim 1, characterized in that: The microcontroller module is connected to the multi-physiological parameter integrated detection front end through the IIC and ADC interface; the microcontroller module is connected to the screen display module through the IIC interface; the microcontroller module is connected to the measurement data storage module through the SPI interface; the microcontroller module is connected to the wireless communication module through the UART interface.
4. The head-mounted multi-physiological parameter detection system according to claim 1, characterized in that: For the finger detection electrode group, five grooves are set according to the structure of five fingers on each hand. Among them, an independent electrode is provided on the left and right sides of the five grooves respectively. The electrode surface is a concave arc surface to fit the surfaces on both sides of the fingers. The raised parts between the grooves isolate the grooves from each other. There are five pairs of electrodes for each hand and ten pairs of electrodes for both hands.
5. The head-mounted multi-physiological parameter detection system according to claim 1, characterized in that: The head-mounted detection structure is provided with two independent upper and lower electrodes at the center of the forehead, wherein the upper side is the forehead signal excitation electrode, and the lower side is the forehead signal detection electrode, the second detection component is located on the left side of the head-mounted structure, and the third detection component is located on the right side of the head-mounted detection component; the head-mounted detection structure is elastic to adapt to head structures of different sizes and forehead surfaces.
6. The head-mounted multi-physiological parameter detection system according to claim 1, characterized in that: The frequency of the sinusoidal current excitation signal is 20 frequencies selected from the range of 5.86kHz to 1MHz.
7. A detection method for a head-mounted multi-physiological parameter detection system according to any one of claims 1 to 6, characterized in that: When starting the test, the user sends a test command through the host, and the multi-physiological parameter integrated detection front end collects human body impedance information and body temperature data in turn, and detects the human body's pulse rate information and blood oxygen information in real time during the signal acquisition process. After the acquisition is completed, the collected physiological information is sent to the measurement data storage module for storage, and the data is sent to the host through the wireless communication module for display, processing and storage; among them, the screen display module displays the current detection status, including start, detection, pause, abnormal reminder and end, and displays the human body's pulse rate information and blood oxygen information in real time during the acquisition process.
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