Wearable monitoring system for real-time acquisition of respiratory electrocardio and myoelectricity

Abstract

The invention discloses a wearable monitoring system for real-time acquisition of respiration, electrocardio and myoelectricity, and relates to the technical field of medical equipment, the wearable monitoring system comprises a monitoring terminal, a data processing center and an equipment management platform, the monitoring terminal comprises a respiration monitoring module, an electrocardio monitoring module, a myoelectricity monitoring module and a blood oxygen and heart rate monitoring module; the monitoring terminal is composed of a flexible sensing jumpsuit and adopts an ergonomic wearable design; the flexible sensing jumpsuit is made of flexible conductive fiber fabric and has the characteristic of variable tensile resistance, conductive fibers deform along with expansion and contraction of the thorax in the breathing process, the resistance value changes accordingly, and the breathing volume and the myoelectricity change are accurately measured through a breathing monitoring module; the electrocardio monitoring module integrates a textile electrode at the position, corresponding to the heart area, of the inner side of the jumpsuit. Synchronous high-quality collection of three important physiological signals of respiration, electrocardio and myoelectricity can be achieved, and electrocardio monitoring meets the national detection standard.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical equipment, in particular to a wearable respiratory electrocardio myoelectric real-time acquisition monitoring system. BACKGROUND

[0002] With the aggravation of population aging and the rising incidence of chronic diseases, the demand for long-term health monitoring is increasing. At present, the monitoring of respiration, electrocardio and myoelectric in the clinic mainly relies on large equipment in the hospital. Although these devices have high accuracy, they have problems such as large size, high price and limited use scene, which cannot meet the needs of daily continuous monitoring.

[0003] In recent years, wearable health monitoring devices have developed rapidly, and products such as smart bracelets and smart watches have appeared on the market, which can monitor basic physiological parameters such as heart rate and blood oxygen.

[0004] However, the existing wearable devices have obvious limitations in function: most devices can only monitor a single or a few physiological signals; the monitoring of respiratory signals is usually based on the indirect calculation of heart rate variability, which has limited accuracy; in addition, the existing wearable devices still have many shortcomings in signal quality, power consumption control, data processing capacity, etc. Most devices cannot realize the synchronous acquisition and comprehensive analysis of three important physiological signals (respiration, electrocardio and myoelectric), which limits their application value in the fields of early warning of diseases, rehabilitation evaluation, etc., and therefore there is room for improvement. SUMMARY

[0005] The purpose of the present application is to solve the problems existing in the prior art and provide a wearable respiratory electrocardio myoelectric real-time acquisition monitoring system. The advantage of the present application is that it can realize the synchronous high-quality acquisition of three important physiological signals (respiration, electrocardio and myoelectric), and the electrocardio monitoring conforms to the national detection standard.

[0006] In order to achieve the above purpose, the present application adopts the following technical scheme: A wearable respiratory electrocardio myoelectric real-time acquisition monitoring system, comprising a monitoring terminal, a data processing center and a device management platform, the monitoring terminal comprising a respiratory monitoring module, an electrocardio monitoring module, a myoelectric monitoring module and an oxygen saturation and heart rate monitoring module; The monitoring terminal is composed of a flexible sensing jumpsuit, which adopts an ergonomic wearable design; the flexible sensing jumpsuit is made of a flexible conductive fiber fabric, which has a variable tensile resistance characteristic. With the expansion and contraction of the thorax during the breathing process, the conductive fiber deforms, and the resistance value changes accordingly. The respiratory monitoring module accurately measures the respiratory volume and myoelectric changes; the electrocardio monitoring module integrates textile electrodes on the inside of the jumpsuit corresponding to the heart area, adopts a three-lead configuration, and real-time acquires electrocardio signals; the oxygen saturation and heart rate monitoring module is realized by photoplethysmography. The data processing center comprises a signal processing box, which measures the resistance change of the flexible conductive fiber through the respiratory monitoring module, and converts it into respiratory waveform data; multi-wavelength photoelectric detection, adaptive light intensity adjustment; The device management platform fuses and processes multi-source data, realizes synchronous analysis of respiratory, electrocardio and myoelectric signals, performs real-time data stream processing and historical data management; the power management unit of the platform comprises a boost-buck control module to ensure stable power supply of each component, monitors and warns the battery state; a large-capacity storage battery in the storage battery mounting box can support the use in mobile scenarios; a mobile trolley is designed to facilitate flexible transfer between different medical scenarios.

[0007] Further, the flexible conductive fiber fabric deforms with respiratory movement, resulting in resistance value change; according to the strain-resistance effect, the resistance change amount is related to strain as follows: wherein is the initial resistance, is the strain factor.

[0008] Further, the respiratory monitoring module detects the change and converts it into a voltage signal, and maps the voltage change to respiratory volume change through a calibration algorithm; the relationship between respiratory volume and resistance change is expressed as: wherein, is the calibration coefficient, so as to obtain the respiratory frequency and tidal volume parameters.

[0009] Further, the electrocardio monitoring module collects the cardiac electrical activity signal, and after amplification and filtering, the signal transfer function is: wherein, is the amplification factor, is the transfer function of the band-pass filter; through the QRS wave detection algorithm, the Pan-Tompkins algorithm is used for real-time detection: After identifying the heartbeats, the heart rate is calculated: wherein is the interval.

[0010] Further, the electromyography monitoring module surface electrode detects the electrical signal generated when the muscle contracts, and the electromyography signal amplitude is usually 50-5000 ; the signal is subjected to differential amplification, full-wave rectification and low-pass filtering to obtain an envelope signal: wherein, is the impulse response of the low-pass filter; through time domain and frequency domain analysis, the median frequency and the average power frequency are calculated: The muscle activation state and fatigue degree information is obtained.

[0011] Further, the blood oxygen and heart rate monitoring module adopts the photoplethysmography technology, transmits and receives red light and infrared light, and calculates the blood oxygen saturation ; the specific algorithm is as follows: wherein, is the alternating component, is the direct current component, is the calibration coefficient.

[0012] Further, the LED light source on the photoelectric sensor in the blood oxygen and heart rate monitoring module emits light of a specific wavelength, penetrates the skin tissue and irradiates into the blood vessel; when the heart contracts, the blood volume increases, and more light is absorbed; when the heart relaxes, the blood volume decreases, and the amount of light absorption decreases accordingly; the periodic change of the blood volume causes the change of the reflected light intensity, and the photosensitive element converts the reflected light signal into an electrical signal, and the heart rate and blood oxygen saturation data are obtained through algorithm processing.

[0013] Further, the signal processing box data is transmitted through the wireless Bluetooth transmission module, adopts the low-power Bluetooth technology, receives the collected data from each sensor module, sends control instructions to the sensor, supports data transmission and instruction interaction with the smart phone and tablet terminal device, and simultaneously adopts the lithium battery power supply unit in the power management module to support 24-hour continuous monitoring.

[0014] Further, the device management platform further comprises a consumable containing drawer, the consumable containing drawer is arranged on one side of the bottom of the battery mounting box, and the consumable containing drawer is used for storing surgical consumables needed in surgery.

[0015] The beneficial effects of the present application are: 1. This wearable real-time respiratory, electrocardiogram (ECG), and electromyogram (EMG) monitoring system can achieve simultaneous high-quality acquisition of three important physiological signals: respiration, ECG, and EMG. ECG monitoring meets national testing standards. The flexible electrode design ensures wearing comfort and supports long-term continuous monitoring.

[0016] 2. This wearable monitoring system for real-time acquisition of respiratory, electrocardiogram, and electromyogram data features wireless charging to simplify the user experience, ultra-long battery life to eliminate the hassle of frequent charging, real-time processing at the device end to reduce data transmission volume and latency, multi-parameter fusion analysis to provide a more comprehensive health assessment, and personalized early warning thresholds that can be adaptively adjusted. It supports remote monitoring in medical institutions and home health management, and provides high-quality physiological data for clinical research. Attached Figure Description

[0017] Fig. 1 This is a schematic diagram of a wearable real-time respiratory, electrocardiogram, and electromyogram monitoring system proposed in this invention. Fig. 2 This is a schematic diagram of the flexible sensing bodysuit structure of a wearable monitoring system for real-time acquisition of respiratory, electrocardiogram, and electromyogram data proposed in this invention. Fig. 3 This is a schematic diagram of the mobile trolley structure of a wearable monitoring system for real-time acquisition of respiratory, electrocardiogram, and electromyogram data proposed in this invention.

[0018] In the diagram: 1. Electromyography (EMG) monitoring module; 2. Electrocardiogram (ECG) monitoring module; 3. Respiratory monitoring module; 4. Signal processing box; 5. Flat panel display screen; 6. Battery installation box; 7. Consumables storage drawer; 8. Mobile trolley. Detailed Implementation

[0019] The technical solution of this patent will be further described in detail below with reference to specific embodiments.

[0020] The embodiments of this patent are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this patent, and should not be construed as limiting this patent.

[0021] Reference Figs. 1-3 A wearable real-time respiratory, electrocardiogram, and electromyography monitoring system includes a monitoring terminal, a data processing center, and a device management platform. The monitoring terminal includes a respiratory monitoring module 3, an electrocardiogram monitoring module 2, an electromyography monitoring module 1, and a blood oxygen and heart rate monitoring module. The monitoring terminal is composed of a flexible sensing jumpsuit, which adopts an ergonomic wearable design. The flexible sensing jumpsuit is made of a flexible conductive fiber fabric, which has a stretchable resistance variable characteristic. With the expansion and contraction of the thorax during the breathing process, the conductive fiber deforms, and the resistance value changes accordingly. The breathing monitoring module 3 accurately measures the respiratory volume and the muscle electrical changes. The electrocardio monitoring module 2 integrates textile electrodes in the inside of the jumpsuit corresponding to the heart area position, adopts a three-lead configuration, and collects the electrocardio signals in real time. The blood oxygen and heart rate monitoring module adopts a photoplethysmography method to realize the monitoring. The data processing center includes a signal processing box 4, which measures the resistance change of the flexible conductive fiber through the breathing monitoring module 3 and converts it into breathing waveform data. The multi-wavelength photoelectric detection is self-adaptive to the light intensity adjustment. The device management platform fuses and processes multi-source data, realizes the synchronous analysis of the breathing, electrocardio and muscle electrical signals, performs real-time data stream processing and historical data management. The power management unit of the platform includes a boost-buck control module to ensure the stable power supply of each component, monitors and warns the battery state. The integrated flat panel display screen 5 is used for real-time data display and device control. The large-capacity storage battery in the storage battery mounting box 6 can support the use in a mobile scene. The mobile trolley 8 is designed to facilitate the flexible transfer between different medical scenes.

[0022] In the embodiment, the flexible conductive fiber fabric deforms with the breathing movement, resulting in the change of the resistance value. According to the strain-resistance effect, the resistance change amount is related to the strain as follows: wherein is the initial resistance, is the strain factor.

[0023] The breathing monitoring module 3 detects the change and converts it into a voltage signal. Through a calibration algorithm, the voltage change is mapped to the respiratory volume change. The relationship between the respiratory volume and the resistance change is expressed as: wherein, is the calibration coefficient, so as to obtain the respiratory frequency and tidal volume parameters.

[0024] The electrocardio monitoring module 2 collects the heart electrical activity signal, which is amplified and filtered. The signal transfer function is: wherein, is the amplification factor, is the transfer function of the band-pass filter. Through the QRS wave detection algorithm, the Pan-Tompkins algorithm is used for real-time detection: After identifying the heart beat, calculate the heart rate: Wherein is the interval.

[0025] The electromyography monitoring module 1 surface electrode detects the electrical signal generated when the muscle contracts, the electromyography signal amplitude is usually 50-5000 ; After differential amplification, full-wave rectification and low-pass filtering are performed to obtain the envelope signal: Wherein, is the impulse response of the low-pass filter; through time domain and frequency domain analysis, the median frequency and the average power frequency are calculated: Get muscle activation state, fatigue degree information.

[0026] The blood oxygen heart rate monitoring module uses the photoelectric volume pulse wave technology, transmits and receives red light and infrared light, and calculates the blood oxygen saturation ; The specific algorithm is as follows: Wherein, is the alternating component, is the direct current component, is the calibration coefficient.

[0027] Further, the LED light source on the photoelectric sensor in the blood oxygen heart rate monitoring module emits light of a specific wavelength, which penetrates the skin tissue and irradiates into the blood vessels; when the heart contracts, the blood volume increases, and more light is absorbed; when the heart relaxes, the blood volume decreases, and the amount of light absorption decreases accordingly; this periodic change in blood volume causes changes in reflected light intensity, and the photosensitive element converts the reflected light signal into an electrical signal, which is processed by the algorithm to obtain heart rate and blood oxygen saturation data.

[0028] The signal processing box 4 data transmits data through the wireless Bluetooth transmission module, adopts low-power Bluetooth technology, receives data collected from various sensor modules, and sends control instructions to the sensor, and supports data transmission and instruction interaction with smart phones and tablet computer terminal devices; At the same time, the power management module adopts a lithium battery power supply unit to support 24-hour continuous monitoring.

[0029] It is worth mentioning that the device management platform further comprises a consumable containing drawer 7 arranged at the bottom of one side of the battery mounting box, and the consumable containing drawer 7 is used for storing surgical consumables needed in surgery.

[0030] The original physiological signals are synchronously collected by the multi-modal electrode array, the motion state information is obtained in combination with inertial data, the original signals are amplified and filtered by a front-end conditioning circuit, and the adaptive filtering unit eliminates the motion artifacts and environmental noise. The edge computing unit extracts various physiological feature parameters in real time, including heart rate, respiratory rate, muscle activity intensity and the like, a multi-parameter fusion algorithm comprehensively evaluates the physiological state, identifies an abnormal mode, generates a health warning, and the processing result is transmitted to a terminal device through Bluetooth low energy. The original data can be locally stored or selectively uploaded.

[0031] The above is only the preferred specific implementation of the present application, but the protection scope of the present application is not limited to this. Any skilled person in the art can make equivalent replacements or changes according to the technical scheme and the inventive concept of the present application within the technical range disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. A wearable monitoring system for real-time acquisition of respiration, electrocardiogram and electromyogram, characterized in that, The application relates to a wearable monitoring device for monitoring the respiratory, cardiac and muscle activities of a patient, and a data processing center and a device management platform. The monitoring terminal is composed of a flexible sensing jumpsuit, adopts an ergonomic wearable design, and is made of a flexible conductive fiber fabric and has a stretchable resistance variable characteristic; during the expansion and contraction of the thoracic cavity in the breathing process, the conductive fiber is deformed, the resistance value is changed, the breathing volume and the muscle electricity change are accurately measured through the breathing monitoring module (3), the textile electrode is integrated in the inside of the jumpsuit at the position corresponding to the heart region, a three-lead configuration is adopted, and the electrocardio signal is collected in real time; the blood oxygen and heart rate monitoring module is realized through the photoplethysmography method. The data processing center comprises a signal processing box (4), the resistance change of the flexible conductive fiber is measured through the breathing monitoring module (3), and the breathing waveform data is converted. Multi-wavelength photoelectric detection and adaptive light intensity adjustment are adopted. The device management platform fuses and processes multi-source data, realizes the synchronous analysis of the respiratory, electrocardio and muscle electricity signals, carries out real-time data stream processing and historical data management, the power management unit of the platform comprises a boost-buck control module to ensure the stable power supply of each component, the battery state is monitored and early warning is carried out, a flat panel display screen (5) is integrated for real-time data display and device control, a large-capacity storage battery in a storage battery mounting box (6) can support the use in a mobile scene, and a mobile trolley (8) is designed to facilitate the flexible transfer between different medical scenes. 2.The wearable monitoring system of real-time acquisition of breath, electrocardiogram and electromyogram according to claim 1, wherein, The flexible conductive fiber fabric deforms with respiratory movement, resulting in resistance value change; according to the strain-resistance effect, the relationship between the resistance change and the strain is: The relationship between the resistance change and the strain is: The relationship between the resistance change and the strain is: wherein is the initial resistance, is the strain factor. 3.The wearable monitoring system of real-time acquisition of breath, electrocardiogram and electromyogram according to claim 2, characterized in that, The respiratory monitoring module (3) detects this change and converts it to a voltage signal, which is mapped to a respiratory volume change by a calibration algorithm; the respiratory volume The relationship to the resistance change is expressed as: wherein, are calibration coefficients, so as to obtain the respiratory rate, tidal volume parameters. 4.The wearable monitoring system of real-time acquisition of breath, electrocardiogram and electromyogram according to claim 1, wherein, The electrocardio monitoring module (2) collects the cardiac electrical activity signal, the signal transmission function is after amplification and filtering: wherein, is the magnification factor, is the transfer function of the band-pass filter; the QRS wave is detected in real time by a QRS wave detection algorithm, and the Pan-Tompkins algorithm is adopted: After the heart beat is recognized, the heart rate is calculated: wherein is interval.

5. The wearable real-time monitoring system for collecting respiration, ECG and EMG according to claim 1, wherein, The myoelectric monitoring module (1) surface electrode detects the electrical signal generated when the muscle contracts, and the myoelectric signal amplitude is usually 50-5000 ; After the signal is differentially amplified, full-wave rectification and low-pass filtering are performed to obtain an envelope signal: wherein is the impulse response of a low-pass filter; the median frequency is calculated by time and frequency domain analysis and the average power frequency : The muscle activation state and fatigue degree information are acquired. 6.The wearable monitoring system of real-time acquisition of breath, electrocardiogram and electromyogram according to claim 1, wherein, The blood oxygen heart rate monitoring module adopts a photoelectric volume pulse wave technology, calculates blood oxygen saturation by emitting and receiving red light and infrared light ; the specific algorithm is as follows: wherein, is the alternating component, is the direct component, is the calibration coefficient. 7.The wearable monitoring system of real-time acquisition of breath, electrocardiogram and electromyogram according to claim 1, wherein, The LED light source on the photoelectric sensor in the blood oxygen and heart rate monitoring module emits light rays with a specific wavelength, penetrates the skin tissue and irradiates into the blood vessel; when the heart contracts, the blood volume increases, and more light rays are absorbed; when the heart relaxes, the blood volume decreases, and the light absorption amount correspondingly decreases; the periodic change of the blood volume causes the change of the reflected light intensity, the photosensitive element converts the reflected light signal into an electric signal, and the heart rate and blood oxygen saturation data are acquired through algorithm processing. 8.The wearable monitoring system of real-time acquisition of breath, electrocardiogram and electromyogram according to claim 1, wherein, The signal processing box (4) data is transmitted through a wireless Bluetooth transmission module, adopts a low-power Bluetooth technology, receives the collected data from each sensing module, sends control instructions to the sensor, supports the data transmission and instruction interaction with a smart phone and a tablet computer terminal device, and simultaneously adopts a lithium battery power supply unit in the power management module to support 24-hour continuous monitoring. 9.The wearable monitoring system of real-time acquisition of breath, electrocardiogram and electromyogram according to claim 1, wherein, The device management platform further comprises a consumable containing drawer (7), the consumable containing drawer (7) is arranged at the bottom of one side of the storage battery mounting box, and the consumable containing drawer (7) is used for storing the surgical consumables required in the operation.

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