Non-contact vital signs monitoring system

Abstract

The present invention discloses a non-contact vital signs monitoring system, which is attached to a mattress and includes a non-contact vital signs signal collecting and processing system. The non-contact vital signs signal collecting and processing system includes a BCG signal collecting module, a human body pressure collecting module and a control module. The present invention arranges a piezoelectric ceramic sheet array as a BCG signal collecting module on the mattress, arranges an impedance pressure band as a human body pressure collecting module, and combines with a smart dynamic peak tracking algorithm to extract the user's heart rate data, respiration data, body movement data, bed presence / absence status and abnormal sound data during sleep, so as to comprehensively analyze the user's sleep status. The present invention also operates in a smart ultra-low power operation control mode, and when the pressure data measured by the human body pressure collecting module indicates that the user is not in bed, the non-contact vital signs monitoring system closes most of the electric elements, thereby greatly reducing energy consumption.

Description

[Technical field]

[0001] The present invention relates to the medical device technical field, and more particularly to a non-contact vital signs monitoring system. [Background technology]

[0002] With the development of socio-economic technology and the increasing requirements for the quality of human life, the simplification of upgrade equipment has become an inevitable requirement of the development of the times, and the widespread application of non-contact vital signs monitoring technology has become one of the important expressions of its development. Long-term continuous vital signs monitoring can monitor and grasp the health status of the monitored person in real time, but the traditional contact monitoring system uses wearable devices, which not only has a poor user experience and interferes with the monitored person's life during monitoring, but also has a limited accuracy in the monitoring effect and interferes with the monitored person's life and behavior, which is likely to cause the monitored person to feel nervous and anxious. Therefore, non-contact vital signs monitoring technology has emerged, which allows the monitored person to complete the medical examination without interfering with their daily life, and gives advice by collecting and analyzing vital signs data, avoiding poor lifestyle habits, and preventing chronic diseases. In addition, non-contact vital signs monitoring technology can be applied in various fields of life, such as medical care, nursing care, chronic disease management, and health monitoring. Summary of the Invention [Problem to be solved by the invention]

[0003] It is an object of the present invention to provide a non-contact vital signs monitoring system. [Means for solving the problem]

[0004] The non-contact vital signs monitoring system of the present invention is attached to a mattress and includes a non-contact vital signs signal collecting and processing system, which includes a BCG signal collecting module, a body pressure collecting module and a control module.

[0005] The BCG signal acquisition module adopts a piezoelectric ceramic sheet array, the piezoelectric ceramic sheet array includes several piezoelectric ceramic sheet cues arranged along the longitudinal direction of the mattress, and each piezoelectric ceramic sheet cue includes several piezoelectric ceramic sheets arranged in sequence along the width direction of the mattress. The human body pressure acquisition module is disposed on one side of the BCG signal acquisition module away from the head end of the mattress, and can detect the pressure above itself.

[0006] The control module extracts the heart rate data, respiration data and abnormal sounds of the user during rest based on the BCG signal output from the BCG signal collection module. The extraction process is as follows: first, a digital filter is applied to the BCG signal to extract signals with frequencies between 0.08-0.5 Hz, 0.66-3.3 Hz and 20-20000 Hz, and the BCG signal with frequencies between 0.66 Hz and 3.3 Hz is compared with a preset peak rule of a normal electrocardiogram signal to extract a part of the features that match the electrocardiogram signal model as heart rate data. The BCG signal with frequencies between 0.08-0.5 Hz is compared with a preset peak rule of a normal respiration signal to extract a part of the features that match the respiration signal model as respiration data. An environmental noise signal and abnormal sound signals including a snoring sound signal, a coughing sound signal and a distress sound signal during the user's sleep are extracted from the BCG signal with frequencies between 20-20000 Hz.

[0007] The control module judges whether a user is present on the mattress based on the pressure signal measured by the human body pressure collecting module, and the judgment process is as follows: if the pressure signal is equal to or greater than a preset value, it is judged that the user is present on the mattress, and if the pressure signal is smaller than the preset value, it is judged that the user has left the mattress.

[0008] When the non-contact vital signs monitoring system operates in a smart micro power consumption operation control mode and detects that no person is on the mattress, the control module controls the remaining components of the non-contact vital signs monitoring system except the body pressure collection module to sleep or shut down.When the non-contact vital signs monitoring system detects that a person is on the mattress, the control module controls all the components of the non-contact vital signs monitoring system to operate normally.

[0009] Preferably, the piezoelectric sheet array includes two piezoelectric ceramic sheet cues, the distance between the center position of the first piezoelectric ceramic sheet cue and the head end of the mattress is h1=20cm, and the center distance between the two piezoelectric ceramic sheet arrays is h2=40cm.

[0010] Preferably, the body pressure collection module is embedded within the mattress and impedance pressure bands are positioned across the width of the mattress.

[0011] Preferably, the signals output from the BCG signal collecting module and the human body pressure collecting module are filtered and amplified through a signal filter amplifying module and then transmitted to the control module, and the signal filter amplifying module adopts a 4T commercial frequency notch filter amplifying circuit.

[0012] Preferably, the control module extracts a signal having a peak in the BCG signal as the human body movement signal based on characteristics of the peak in the BCG signal caused by the human body turning over on the bed.

[0013] Preferably, the snoring audio signal is used to determine whether the user has experienced apnea, and the environmental noise level is used to assess the comfort of the sleeping environment.

[0014] Preferably, the control module communicates with a cloud service side via a signal transmission module, and the cloud service side communicates with a monitoring computer and a mobile terminal.

[0015] Preferably, the non-contact vital signs signal collecting and processing system further includes a temperature and humidity collecting module, which adopts a SHT20 integrated digital sensor circuit and is used to detect the temperature and humidity values ​​of the user during sleep.

[0016] Preferably, the non-contact vital signs monitoring system further includes an environmental green power supply system. The environmental green power supply system is used for converting the energy in the environment into electrical energy, and includes an indoor light energy collecting module, an indoor electromagnetic wave collecting module, a human body pressure electrical energy collecting module, a power management module and a power storage module. The indoor light energy collecting module adopts a high-efficiency polycrystalline solar cell array and is attached to the head of the bed, and is used for collecting natural light and lamp light in the room to generate electrical energy. The indoor electromagnetic wave collecting module includes a ferrite bar antenna and a 2.4G patch antenna and is used for collecting environmental electromagnetic wave signals to generate electrical energy. The human body pressure electrical energy collecting module adopts a piezoelectric film attached to the top surface of the mattress, and generates electrical energy according to the pressure change against the mattress when the human body turns over. The output interfaces of the indoor light energy collecting module, the indoor electromagnetic wave collecting module and the human body pressure electrical energy collecting module are all connected to the power storage module and the non-contact vital signs signal collecting and processing system via the power management module.

[0017] Preferably, the non-contact vital signs monitoring system further includes a night-time wake-up automatic lighting system. The night-time wake-up automatic lighting system includes an ambient light detection module, a night-time wake-up identification module, a night-time lamp fade-in / fade-out module, and a night-time lamp. The night-time wake-up identification module and the ambient light detection module are both connected to the night-time lamp fade-in / fade-out module. The night-time lamp fade-in / fade-out module controls the night-time lamp to fade in or fade out, and when the pressure signal measured by the human body pressure collection module indicates that the user has left the bed and the ambient light detection module detects that the ambient light intensity is lower than a preset value, the night-time wake-up identification module controls the night-time lamp to gradually brighten via the night-time lamp fade-in / fade-out module. When the pressure signal measured by the human body pressure collection module indicates that the user is going to bed, the night-time wake-up identification module controls the night-time lamp to gradually turn off via the night-time lamp fade-in / fade-out module. Effect of the Invention

[0018] The beneficial effects of the present invention are as follows: 1. The present invention arranges a piezoelectric ceramic sheet array on a mattress as a BCG signal collecting module, arranges an impedance pressure band as a human body pressure collecting module, and combines with a smart dynamic peak tracking algorithm to extract the user's heart rate data, breathing data, body movement data, bed / getting status, and abnormal sound data during sleep, thereby enabling a comprehensive analysis of the user's sleep status. 2. The present invention operates in a smart ultra-micropower operation control mode, and when the pressure data measured by the human body pressure collection module indicates that the user is not in bed, the non-contact vital signs monitoring system closes most of the electrical elements, thereby greatly reducing energy consumption. 3. By combining multiple types of electrical energy collection modules, the present invention achieves continuous and stable operation of a non-contact vital signs monitoring system without the need for an external power source. [Brief description of the drawings]

[0019] [Figure 1] FIG. 1 is a block diagram of a system of the present invention. [Diagram 2] FIG. 2 is a schematic diagram of a BCG signal collection module and a human body pressure collection module attached to a mattress in the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0020] The invention will be further explained below with reference to the drawings.

[0021] As shown in Figure 1, a non-contact vital signs monitoring system is attached to a mattress, which includes a non-contact vital signs signal collection and processing system, an environmental green power supply system and a night-time wake-up automatic lighting system. The non-contact vital signs signal collection and processing system includes a BCG signal collection module, a human body pressure collection module, a signal filter amplification module, a temperature and humidity collection module, a control module and a signal transmission module.

[0022] As shown in Figures 1 and 2, the BCG signal acquisition module includes a high-sensitivity piezoelectric ceramic plate array. The piezoelectric ceramic sheet array includes several piezoelectric ceramic sheet cues arranged along the longitudinal direction of the mattress, and a single piezoelectric ceramic sheet cue includes several piezoelectric ceramic sheets arranged in sequence along the width direction of the mattress. As an alternative technical proposal to further improve the technical effect, the piezoelectric ceramic sheet array is arranged on a mattress with a length of 200 cm and a width of 90 cm, the piezoelectric ceramic sheet array includes two piezoelectric ceramic sheet cues, the distance between the center position of the first piezoelectric ceramic sheet cue (the cue close to the head end of the mattress) and the head end of the mattress is h1=20 cm, and the center distance of the two piezoelectric ceramic sheet cues is h2=40 cm, as shown in Figure 1. The first piezoelectric ceramic sheet cue is used to detect the BCG signal (ballistocardiogram) at the position of the user's head, and the second piezoelectric ceramic sheet cue is used to detect the BCG signal at the position of the user's chest.

[0023] The human body pressure collecting module is located at one side away from the head end of the BCG signal collecting module. The human body pressure collecting module specifically adopts an impedance pressure band, which is embedded in the mattress and arranged along the width direction of the mattress. The impedance pressure band outputs a certain pressure voltage value when it receives pressure, which can determine whether there is a person on the mattress, as shown in FIG.

[0024] The temperature and humidity collection module adopts SHT20 integrated digital sensor circuit, which can collect temperature and humidity data of mattress environment and output it in the form of digital signal. The temperature and humidity signal module evaluates whether the environmental temperature and humidity are in the optimal sleeping condition according to the appropriate temperature range (optimum 24℃~26℃) and humidity range (optimum 55℃~65%) for human sleep. It can output the environmental temperature value together with the heart rate and respiration rate to perform sleep evaluation.

[0025] The signal filter amplification module adopts a 4T power frequency notch filter amplification circuit, which is composed of an operational amplifier integrated circuit chip, which has better noise elimination effect than the traditional dual-T power frequency trap. It can well filter out the interference signal in the BCG signal.

[0026] The controller of the control module adopts STM32 one-chip microcomputer to receive the BCG signal, pressure signal, and temperature and humidity signals processed by the signal filter amplification module, and extract the heart rate data, breathing data, body movement data, bed presence / absence status, abnormal sound, and temperature and humidity data during the user's rest as a vital sign signal set based on the heart rate signal extraction algorithm, breathing signal extraction algorithm, body movement signal extraction algorithm, bed presence / absence signal extraction algorithm, abnormal sound signal extraction algorithm, and temperature and humidity signal extraction algorithm respectively.

[0027] The specific process of the heart rate signal extraction algorithm is as follows: first, the BCG signal is digitally filtered to extract signals in the BCG signal whose frequencies are between 0.66 and 3.3 Hz; then, a smart dynamic peak tracking algorithm is used to identify the sinus rhythm signal; the smart dynamic peak tracking algorithm extracts peak model rules from the pre-stored normal ECG signal to obtain an ECG signal model; then, the collected BCG signal is compared with the stored ECG signal model, and some of the features in the BCG signal that match the ECG signal model are extracted to identify the heart rate signal; and the BCG signals with different signal amplitudes can be accurately identified, thus overcoming the shortcomings of the traditional peak extraction algorithm.

[0028] The specific process of the respiratory signal extraction algorithm is as follows: first, the BCG signal is digitally filtered to extract signals in the BCG signal whose frequencies are between 0.08-0.5 Hz; then, a smart dynamic peak tracking algorithm is used to identify the pulsed respiratory signal; the smart dynamic peak tracking algorithm extracts peak model rules from the pre-stored normal respiratory signal to obtain a respiratory signal model; then, the collected BCG signal is compared with the stored respiratory signal model, and some of the features in the BCG signal that match the respiratory signal model are extracted to identify the respiratory signal; thus, BCG signals with different signal amplitudes can be accurately identified, and the shortcomings of the traditional peak algorithm are overcome.

[0029] Specifically, the body movement signal extraction algorithm is based on the characteristic that peaks in the BCG signal occur when the human body turns over in bed, and extracts any signal having a peak as a body movement signal.

[0030] The bed presence / absence signal extraction algorithm is specifically as follows: based on the characteristic that the human body on the mattress generates pressure against the human body pressure collection module, it determines whether the user is in bed or out of bed based on the pressure value received by the human body pressure collection module. When the human body is in bed, the pressure band senses the pressure and generates a pressure value signal (usually, the weight corresponding to the pressure value is between 10kg and 30kg), and when the human body leaves the bed, the pressure band signal disappears and the pressure value becomes 0.

[0031] The specific process of the abnormal sound signal extraction algorithm is as follows: first, the sound frequency range set by the digital filter in the BCG signal is 20 to 20,000 Hz, and the environmental noise level and abnormal sound signals including snoring voice signals, coughing voice signals, and distress voice signals when the user is sleeping are extracted. Here, the snoring voice signal is used by the system to determine apnea and is used for apnea alarms and sleep evaluation. The environmental noise level is used to evaluate the comfort of the sleeping environment and evaluate the effect of background noise on sleep. Other abnormal sound signals including coughing voice signals and distress voice signals are used for alarms and health evaluation.

[0032] The control module transmits a set of vital signs signals in a preset signal coding format, which consists of a data header, a mattress address, heart rate data, respiration data, bed presence / absence data, body movement data, abnormal sound data, temperature and humidity data, a check bit and a data tail, as shown in Table 1.

[0033] [Table 1]

[0034] In Table 1, the first data is an 8-bit data with a data start flag and a fixed value DD, the tenth data is a data end flag and a fixed value EE, and the remaining data are different data generated based on different mattresses and different signals.

[0035] The control module communicates with the cloud service side through the signal transmission module, and the signal transmission module specifically uses five connection methods, including WIF, Bluetooth, 4G, 5G and Ethernet, to realize data transmission between the control module and the cloud service side.

[0036] The cloud service side adopts a cloud server, installs a vital signs monitoring receiving and management service program on the cloud server, stores the monitoring data results in the server, and provides query and statistical services.

[0037] The monitoring computer adopts a general desktop computer and accesses the vital signs monitoring cloud service program in the manner of a browser, and the mobile terminal accesses the vital signs monitoring cloud service program in the manner of an app or a WeChat widget.

[0038] The night-time wake-up automatic lighting system includes an ambient light detection module, a night-time wake-up identification module, a night-time lamp fade-in / fade-out module, and a night-time lamp. The night-time wake-up identification module monitors the pressure change of the impedance pressure band to determine whether the user is awake or not, and the night-time lamp fade-in / fade-out module includes a time circuit controller, which sets the bright transition time of the night-time lamp to 1 second and the dark transition time to 3-5 seconds, to adapt to the physiological response of human eyes at night. The night-time lamp includes a low-power LED. The night-time wake-up identification module detects that the human body leaves the bed, and when the ambient light detection module detects that the intensity of the ambient light is lower than the preset value, the night-time lamp is brightened. When the night-time wake-up identification module detects that the human body has entered bed, the night-time lamp is dimmed. The night-time wake-up automatic lighting system can effectively prevent the user from falling down due to losing sight of the surroundings when waking up at night.

[0039] The environmental green power supply system is used to convert the energy in the environment into electrical energy, and is used to supply power to the non-contact vital signs monitoring system. The environmental green power supply system includes an indoor light energy collection module, an indoor electromagnetic wave collection module, a human body pressure electrical energy collection module, a power management module, and a power storage module. The indoor light energy collection module adopts a highly efficient polycrystalline solar cell array and is attached to the head of the bed, and collects the natural light and lamps in the room to generate electrical energy. The indoor electromagnetic wave collection module includes a ferrite bar antenna and a 2.4G patch antenna, and is used to collect the electromagnetic wave signals generated by the broadcasting station and the indoor WIFI to generate electrical energy. The human body pressure electrical energy collection module adopts a piezoelectric film attached to the top surface of the mattress, and generates electrical energy according to the pressure change against the mattress when the human body turns over. The power management module is connected to the indoor light energy collection module, the indoor electromagnetic wave collection module, and the human body pressure electrical energy collection module, and performs impedance and power matching and unified composition management for the electrical energy generated by the above three collection modules, so as to maximize the efficiency of each collection module. The power output by the power management module is supplied to the non-contact vital signs monitoring system to operate, and at the same time, the excess electrical energy is stored in the power storage module to supply power at night or when there is no pressure on the human body or no electromagnetic waves in the room. The environmental green power system can effectively overcome the electrical safety and fire problems caused by adopting commercial power, and is environmentally friendly.

[0040] The non-contact vital signs monitoring system executes a smart ultra-micro power consumption operation control mode during operation, which is based on the mattress pressure sensing signal from the resistive pressure band. When it detects that there is no person on the mattress (i.e., the mattress pressure sensing signal is 0), the control module controls other components in the non-contact vital signs monitoring system other than the control module, the human body pressure collection module and the environmental green power system to sleep or shut down, so as to reduce the power consumption of the system. When it detects that there is a person on the mattress (i.e., the mattress pressure sensing signal is not 0), the control module controls all components in the non-contact vital signs monitoring system to operate normally. It can be seen from the actual test that people are not in bed for more than 2 / 3 hours every day, so the smart ultra-micro power consumption operation control mode makes the non-contact vital signs monitoring system save 2 / 3 of the power consumption, and such a smart micro power consumption control method is unique in the non-contact vital signs monitoring system or smart mattress or smart monitoring mat product.

Claims

1. a non-contact vital signs monitoring system attached to a mattress and including a non-contact vital signs signal collection and processing system, the non-contact vital signs signal collection and processing system including a BCG signal collection module, a body pressure collection module, and a control module; The BCG signal collecting module adopts a piezoelectric ceramic sheet array, the piezoelectric ceramic sheet array includes several piezoelectric ceramic sheet queues arranged along the longitudinal direction of the mattress, and each piezoelectric ceramic sheet queue includes several piezoelectric ceramic sheets arranged in sequence along the width direction of the mattress; the human body pressure collecting module is disposed on one side of the BCG signal collecting module away from the head end of the mattress, and can detect the pressure above itself; The control module extracts the heart rate data, breathing data and abnormal sounds of the user during rest according to the BCG signal output from the BCG signal collection module. The extraction process is as follows: first, a digital filter is applied to the BCG signal to extract signals having frequencies between 0.08-0.5 Hz, between 0.66 Hz-3.3 Hz and between 20-20,000 Hz; the BCG signal having a frequency between 0.66 Hz-3.3 Hz is compared with a preset peak rule of a normal electrocardiogram signal to extract a part of the features that match the electrocardiogram signal model as heart rate data; the BCG signal having a frequency between 0.08-0.5 Hz is compared with a preset peak rule of a normal breathing signal to extract a part of the features that match the breathing signal model as breathing data; and extract environmental noise signals and abnormal sound signals, including snoring sound signals, coughing sound signals and distress sound signals during the user's sleep, from the BCG signal having a frequency between 20-20,000 Hz; The control module judges whether a user is present on the mattress according to the pressure signal measured by the human body pressure collecting module, and the judgment process is as follows: if the pressure signal is equal to or greater than a preset value, it is judged that the user is present on the mattress; if the pressure signal is smaller than the preset value, it is judged that the user has left the mattress; A non-contact vital signs monitoring system, characterized in that the non-contact vital signs monitoring system operates in a smart ultra-low power consumption operation control mode, and when it detects that there is no person on the mattress, the control module controls the remaining components in the non-contact vital signs monitoring system other than the human body pressure collection module to sleep or shut down, and when it detects that there is a person on the mattress, the control module controls all components in the non-contact vital signs monitoring system to operate normally.

2. 2. The non-contact vital signs monitoring system of claim 1, wherein the piezoelectric ceramic sheet array includes two piezoelectric ceramic sheet cues, the distance between the center position of the first piezoelectric ceramic sheet cue and the head end of the mattress is h1=20 cm, and the center distance between the two piezoelectric ceramic sheet cues is h2=40 cm.

3. 2. The non-contact vital signs monitoring system of claim 1, wherein the body pressure collection module is embedded in a mattress and impedance pressure bands are disposed across the width of the mattress.

4. The non-contact vital signs monitoring system of claim 1, wherein the signals output from the BCG signal acquisition module and the human body pressure acquisition module are filtered and amplified through a signal filter amplification module and then transmitted to the control module, and the signal filter amplification module adopts a 4T commercial frequency notch filter amplification circuit.

5. 2. The non-contact vital signs monitoring system of claim 1, wherein the control module extracts a signal having a peak in the BCG signal as the human body movement signal based on characteristics of the peak in the BCG signal caused by the human body turning over on the bed.

6. 2. The non-contact vital signs monitoring system of claim 1, wherein the snoring audio signal is used to determine whether the user has experienced apnea, and the environmental noise level is used to evaluate the comfort of the sleep environment.

7. The non-contact vital signs monitoring system of claim 1 , wherein the control module communicates with a cloud service side through a signal transmission module, and the cloud service side communicates with a monitoring computer and a mobile terminal.

8. 2. The non-contact vital signs monitoring system of claim 1, wherein the non-contact vital signs signal collecting and processing system further includes a temperature and humidity collecting module, which adopts a SHT20 integrated digital sensor circuit and is used to detect temperature and humidity values ​​during the user's sleep.

9. 2. The non-contact vital signs monitoring system according to claim 1, further comprising an environmental green power supply system for converting environmental energy into electrical energy, comprising an indoor light energy collection module, an indoor electromagnetic wave collection module, a human body pressure electrical energy collection module, a power management module and a storage module, wherein the indoor light energy collection module adopts a high-efficiency polycrystalline solar cell array and is attached to the head of the bed for collecting indoor natural light and lamp light to generate electrical energy, the indoor electromagnetic wave collection module comprises a ferrite bar antenna and a 2.4G patch antenna and is used for collecting environmental electromagnetic wave signals to generate electrical energy, the human body pressure electrical energy collection module adopts a piezoelectric film attached to the top surface of the mattress and generates electrical energy according to pressure changes against the mattress when the human body turns over, and the output interfaces of the indoor light energy collection module, the indoor electromagnetic wave collection module and the human body pressure electrical energy collection module are all connected to the storage module and the non-contact vital signs signal collection and processing system via the power management module.

10. 2. The non-contact vital signs monitoring system of claim 1, further comprising a night-time get-up automatic lighting system, the night-time get-up automatic lighting system including an ambient light detection module, a night-time get-up identification module, a night-time lamp fade-in / fade-out module and a night-time lamp, the night-time get-up identification module and the ambient light detection module are all connected to the night-time lamp fade-in / fade-out module, the night-time lamp fade-in / fade-out module controls the night-time lamp to fade in or fade out, if the pressure signal measured by the human body pressure collection module indicates that the user has left the bed and the ambient light detection module detects that the ambient light intensity is lower than a preset value, the night-time get-up identification module controls the night-time lamp fade-in / fade-out module to gradually brighten the night-time lamp, and if the pressure signal measured by the human body pressure collection module indicates that the user is going to bed, the night-time get-up identification module controls the night-time lamp fade-in / fade-out module to gradually turn off the night-time lamp.

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