CN210990210U - Non-inductive sleep monitoring device and monitoring system - Google Patents

Abstract

The utility model discloses a no inductance formula sleep monitor device and monitoring system, including following module: the signal acquisition module is used for acquiring real-time physiological signals of the object to be detected; the signal characteristic extraction module is used for carrying out information processing on the received real-time physiological signal of the object to be detected; the sleep analysis module is used for receiving the processing data of the signal characteristic extraction module and carrying out sleep analysis; and the monitoring end software module is used for displaying the received physiological signals and the sleep analysis result. The utility model discloses can gather target crowd's rhythm of the heart, respiratory rate, body movement, leave the bed/at information such as bed state, according to the sleep quality evaluation universality standard that cooperation hospital sleep center provided, set up health status exception alarm, assess and generate the report to the sleep status, the main applied scene of product is for endowment mechanism and ordinary family two aspects.

Description

A sensorless sleep monitoring device and monitoring system

technical field

The utility model relates to the medical field, in particular to a sensorless sleep monitoring device and a monitoring system.

Background technique

Sleep is an important way for the body to regulate itself. About 1/3 of a person's life is spent in sleep. The quality of sleep is directly related to the health of the human body and affects the quality of life. Good sleep can not only eliminate fatigue, restore physical strength, but also help improve the body's own immunity and delay aging; on the contrary, poor sleep will make the functions of various organs in the human body out of balance, and the body is prone to many discomforts. It has an impact on people's normal life and work, and in the long run, it is easy to induce various sleep diseases.

With the increasing awareness of sleep health among the public, sleep problems have gradually become one of the most concerned issues. People have begun to seek various sleep monitoring methods, through sleep quality assessment, so as to improve sleep quality and intervene related to sleep. Diseases provide the technical basis. Through long-term sleep monitoring, on the one hand, it can help people understand sleep status, detect sleep problems as early as possible, and then change bad sleep habits to improve sleep status. On the other hand, sleep monitoring can help patients find disease problems caused by sleep disorders early, and master the best time to treat the disease.

Among the traditional sleep monitoring methods, the most authoritative is the polysomnography system (PSG), which is called the "gold standard" in the field of sleep monitoring. Sleep monitoring methods also include wearable sleep monitoring products, micro-motion sensitive beds. Pad sleep monitoring system, video sleep monitoring, etc. Polysomnography system can monitor sleep stages and conditions with high accuracy, but it is expensive and bulky to use.

In another sleep monitoring product in the prior art, the user needs to wear the sleep monitoring product during sleep, which will bring a foreign body sensation to the user and affect the user's sleep, or the sleep monitoring product is not accurate and the function is not complete, which affects the user's use.

Utility model content

The technical problem to be solved by the present invention is to provide a non-inductive sleep monitoring device and monitoring system in view of the shortcomings of the background technology, which can collect the heart rate, respiration rate, body movement, bed-leaving, Information on bed status, etc.

The utility model adopts the following technical solutions for solving the above-mentioned technical problems:

A sensorless sleep monitoring device, comprising a sleep monitoring belt, a cloud server, and mobile terminal software;

The sleep monitoring belt includes a resistive film pressure sensor and a piezoelectric film sensor, the sleep monitoring belt is connected with a conditioning circuit and a WIFI module box through a connecting wire, and the conditioning circuit and the WIFI module box are connected to a power supply.

Further, the resistive thin film pressure sensor and the piezoelectric thin film sensor are wrapped together by two filling layers of sleep monitoring tapes.

Further, the outer side of the filling layer of the sleep monitoring tape is also wrapped with an outer layer of waterproof material of the sleep monitoring tape.

A sensorless sleep monitoring system, comprising the following modules:

The signal acquisition module is used to collect real-time physiological signals of the object to be tested;

The signal feature extraction module is used to perform information processing on the received real-time physiological signals of the object to be tested;

The sleep analysis module is used to receive the processing data of the signal feature extraction module and perform sleep analysis;

The monitoring software module is used to display the received physiological signals and the results of sleep analysis.

Further, the electrical signal acquisition module includes at least one acquisition module for acquiring the heartbeat BCG signal and an acquisition module for acquiring body motion.

Further, the electrical collection module for collecting BCG signals further includes a BCG signal conditioning circuit module, and the BCG signal conditioning circuit module includes a charge integration amplifier, a second-order high-pass filter, a fourth-order low-pass filter, and a voltage amplifier.

Further, the electrical signal feature extraction module includes a TMS320 control chip.

Further, the electrical signal acquisition module is a sleep monitoring belt, the sleep analysis module is a cloud server, and the monitoring terminal software module is mobile terminal software.

Compared with the prior art, the utility model adopts the above technical scheme, and has the following technical effects:

1. Non-contact and non-inductive physiological data collection. Compared with other devices, the utility model is placed under the mattress, and the physiological characteristic signal of the human body is measured in an unconstrained state.

2. Piezoelectric and piezoresistive dual-mode composite measurement, the piezoelectric sensor can effectively collect the BCG signal of human physiological characteristics, the piezoresistive sensor can effectively judge the change of the human body posture, and the multi-feature input can more accurately obtain sleep stage analysis and sleep quality report.

3. The utility model can collect the heart rate, respiration rate, body movement, out-of-bed/in-bed status and other information of the target population, according to the universal standard of sleep quality evaluation provided by the sleep center of the cooperative hospital, set an alarm for abnormal health status, and monitor the sleep status. The situation is assessed and reports are generated. The main application scenarios of the product are both elderly care institutions and ordinary families. For elderly care institutions, the product can effectively help nursing staff to carry out disease screening, turning over care and abnormal health warnings for the elderly; for ordinary families, it can help users to check the health status in real time and receive real-time abnormal health warnings. The online doctor software is associated, and people with poor sleep/health status can perform online diagnosis or go to the hospital for medical treatment.

Description of drawings

1 is a schematic diagram of the overall structure of Embodiment 1;

2 is a schematic structural diagram of a sleep monitoring band in Embodiment 1;

FIG. 3 is a schematic diagram of a module flow of the second embodiment.

In the figure, 1, sleep monitoring belt, 2, connecting wire, 3, conditioning circuit and WIFI module box, 4, connecting wire, 5, plug, 1-1, resistive film pressure sensor, 1-2, piezoelectric film sensor, 1-3. Sleep monitoring belt filling layer, 1-4. Sleep monitoring belt waterproof material outer layer.

Detailed ways

The technical solutions in the embodiments of the present utility model will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present utility model. Obviously, the described embodiments are only a part of the embodiments of the present utility model, rather than all the implementations. example.

Embodiment 1, the present invention discloses a sensorless sleep monitoring device, as shown in Figures 1 and 2, including three parts: a sleep monitoring belt, a cloud server, and a mobile terminal software. The sleep monitoring belt is elongated and flexible, and is connected to the processing circuit through wires. The processing circuit and the WIFI module box 3 are packaged in a flat casing, and the other end of the processing circuit and the WIFI module box 3 is a power plug, which can be directly plugged into the home. 220V socket. The sleep monitoring belt includes flexible piezoelectric film sensors and flexible resistive film pressure sensors, and the thickness is less than 0.4mm. Among them, the piezoelectric film sensor collects the BCG signal of human heartbeat, and the resistive film pressure sensor has several independent sensing units. Through the scanning circuit, the pressure value of each sensing unit at each moment can be obtained, so as to obtain the body motion information of the human body and sleep posture. Identification, in-bed/out-of-bed information, etc. The data is sent to the cloud server through WIFI network or GSM network, and the cloud server analyzes the human body's heartbeat BCG signal to obtain the human body's breathing rate/heart rate, and analyzes the sleep stages by combining the human body movement, sleep posture and other information. , which can provide customers with a quasi-medical-grade sleep analysis report. The cloud server stores and downloads the analysis results to the user-owned mobile terminal, and the user can view the breathing rate, heart rate, sleep analysis report, etc. at any time. In addition, when the breathing rate/heart rate exceeds the set range, the device will give an alarm feedback reminder.

Use logic:

When in use, the sleep monitoring belt is placed between the mattress and the bed board, at a distance of 70cm from the top of the mattress. When the person is lying on the mattress, the chest is directly above the sleep monitoring belt. The piezoelectric film sensor in the sleep monitoring belt collects the BCG signal of the human heartbeat, and the resistive film pressure sensor collects the body motion information, sleep posture recognition, and bed/leave information. The data is sent to the cloud server through WIFI network or GSM network, and the cloud server analyzes the human body's heartbeat BCG signal to obtain the human body's breathing rate/heart rate, and analyzes the sleep stages by combining the human body movement, sleep posture and other information. , which can provide customers with a quasi-medical-grade sleep analysis report. The cloud server stores and downloads the analysis results to the user-owned mobile terminal, and the user can view the breathing rate, heart rate, sleep analysis report, etc. at any time. In addition, when the breathing rate/heart rate exceeds the set range, the device will give an alarm feedback reminder.

Embodiment 2, the present invention also provides a non-inductive sleep monitoring system, as shown in Figures 1, 2 and 3, comprising a signal acquisition module that collects real-time physiological signals of the object to be tested, and transmits the signals to the receiver through the data transmission module. And the signal feature extraction module that processes the real-time physiology of the object to be tested, the sleep analysis module that performs sleep analysis based on the measured physiological signal of the object to be tested in the cloud, and the data transmission module to analyze the respiratory rate/heart rate and sleep analysis of the measured physiological signal features. The results are transmitted to the monitoring software module for display.

The signal acquisition module is connected with the signal feature extraction module and the sleep analysis module through the data transmission module, and the signal feature extraction module and the sleep analysis module are connected with the monitoring terminal software module through the data transmission module.

The signal acquisition module is used to acquire real-time physiological signals of the object to be tested, and the acquisition module may specifically include at least one of a acquisition module for acquiring heartbeat BCG signals and a acquisition module for acquiring body motion. Specifically, for the heartbeat BCG signal, the pumping of the heart will change the force of the supporting object that is in close contact with the human body. Recording it is called a cardiogram, and the information it contains is of great significance for the diagnosis of heart disease. By analyzing BCG signals, information such as respiration rate and heart rate can be obtained. When exercising and emotionally excited, the respiration rate and heart rate can be increased, while rest and sleep are slowed down. When there are sleep problems, the breathing rate and heart rate will also be abnormal. . For body movement physiological signals: during awakening, most body movement physiological signals are more obvious and frequent, and there may be occasional non-obvious body movement behaviors at other times, but compared with awakening, the frequency of occurrence is lower, and the movement amplitude It is also smaller, which can effectively distinguish the wakefulness and sleep periods. Specifically: when the piezoelectric thin film sensor 1-2 is located directly under the human chest, the human body BCG signal can be collected; when the resistive pressure thin film sensor 1-1 is located under the human body, the pressure thin film sensor includes several independent sensing units, which can The pressure value of each sensing unit is displayed in real time, so that the human body movement information can be measured.

In order to obtain accurate cardiocardiogram signals, we designed a BCG signal conditioning circuit module, which includes a charge integration amplifier, a second-order high-pass filter, a fourth-order low-pass filter, and a voltage amplifier. The data processing module can include a TMS320 control chip, The basic structure of TMS320 series DSP chips includes Haval structure, pipeline operation, dedicated hardware multipliers, special DSP instructions and fast instruction cycles. These features enable TMS320 series DSP chips to realize fast DSP operations, and make most operations able to completed in one instruction cycle. The collected ECG signal and the pressure signal obtained by the resistive film pressure sensor are processed by DSP to obtain basic information such as heart rate/respiration rate/body movement value/pressure distribution, which are uploaded to the cloud server for calculation and processing to obtain sleep quality/sleep habits, etc. Report.

In a specific embodiment, the subject is lying flat on the mattress, and the sleep monitoring belt 1 is placed between the mattress and the bed board, and is 40-70 cm away from the top of the mattress, so that the sleep monitoring belt 1 is under the chest of the test subject. Among them, the piezoelectric film sensor 1-2 can obtain the cardiac shock BCG signal of the measured object. The BCG signal is relatively complex and includes various human physiological parameters such as heartbeat, respiration, and body movement. By analyzing the ECG BCG signal, the respiration rate can be obtained. heart rate. The resistive thin film sensor 1-1 includes several independent sensing units, and the pressure value of each sensing unit can be obtained in real time through the scanning circuit. Get physical activity and identify sleeping positions. The filling layer 1-3 of the sleep monitoring tape can wrap the sensor, and the outer layer 1-4 of the waterproof material of the sleep monitoring tape can prevent water from entering the inside and contacting the sensor. The sensor in the sleep monitoring belt 1 converts the pressure signal into an electrical signal, and transmits the signal to the conditioning circuit and the WIFI module box 3 through the connecting wire 2, and the conditioning circuit and the WIFI module box 3 are connected to the power supply 5 through the connecting wire 4. The signal conditioning circuit is mainly used for weak signal amplification and noise signal filtering. The charge from the sensor is processed in accordance with AD after lossy integration, operational amplification, band-pass filtering, power frequency notch, secondary amplification and polarity conversion. required voltage signal. The data collected by the information collection module is sent to the server through WIFI in the form of Socket stream.

Among them, the piezoelectric signal collected by the information acquisition module includes the breathing signal and the heart rate signal. The complete waveform with a larger amplitude in the piezoelectric signal is related to breathing. Compared with the heart rate signal, the breathing signal has a lower frequency and a larger signal amplitude, and the corresponding spectral energy is higher The autoregressive model power spectrum is used to calculate the respiration rate, and the heart rate can be extracted by using the empirical mode decomposition algorithm. Since the frequency of the heart beat is higher than the respiration rate, the heart rate is generally between 1Hz and 2Hz, and the respiration frequency is roughly limited. Between 0.2 Hz and 0.8 Hz, the heart rate signal can be extracted using an empirical mode decomposition algorithm.

The piezoresistive film sensor is used to obtain the piezoresistive signal, and through the analysis of the pressure distribution information at different positions, it is possible to quickly judge the in-bed/out-of-bed state and identify the sleeping posture.

The study of sleep staging is of great significance for the prevention and detection of sleep diseases. Uninterrupted sleep monitoring is beneficial to reflect the real sleep staging results, and is more conducive to the treatment of sleep-related diseases, which can reduce the physical and mental stress in the recovery process. For the identification of sleep stages, this project plans to use a convolutional neural network algorithm based on multiple physiological parameters, and use the above measured data such as body movement, heart rate and respiratory rate to design a convolutional neural network classifier based on these physiological parameters. . Convolutional neural network is a neural network with multi-layer supervision. It does not need to manually design features. The physiological parameter data is directly input into the network, and the staging results are obtained at the output.

Through the above analysis on the server, the measured object's heart rate, breathing rate, body movement, sleep stage and other information can be obtained, and a sleep analysis report can be issued in cooperation with medical institutions. Send the above information to the display interface,

The display interface includes a mobile terminal and a PC terminal. The measured object can view the real-time respiratory rate, heart rate, physical activity value, and sleep analysis report at any time on the mobile terminal display interface. Institution managers can view the data of multiple measured objects on the PC terminal. Real-time respiratory rate, heart rate, activity value and sleep health analysis report.

It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It should also be understood that terms such as those defined in general dictionaries should be understood to have meanings consistent with their meanings in the context of the prior art and, unless defined as herein, are not to be taken in an idealized or overly formal sense. explain.

The above embodiments are only to illustrate the technical idea of the present utility model, and cannot limit the protection scope of the present utility model. Any changes made on the basis of the technical solution according to the technical idea of the present utility model shall fall into the scope of the present utility model. within the scope of the new protection. The embodiments of the present utility model have been described in detail above, but the present utility model is not limited to the above-mentioned embodiments. Within the scope of knowledge possessed by those of ordinary skill in the art, various aspects can be made without departing from the purpose of the present utility model. kind of change.

Claims (8)

1. A sensorless sleep monitoring device, characterized in that: comprising a sleep monitoring belt, cloud server, mobile terminal software; The sleep monitoring belt includes a resistive film pressure sensor and a piezoelectric film sensor, the sleep monitoring belt is connected with a conditioning circuit and a WIFI module box through a connecting wire, and the conditioning circuit and the WIFI module box are connected to a power supply. 2 . The sensorless sleep monitoring device according to claim 1 , wherein the resistive film pressure sensor and the piezoelectric film sensor are wrapped together by two sleep monitoring tape filling layers. 3 . 3 . The sensorless sleep monitoring device according to claim 2 , wherein the outer side of the filling layer of the sleep monitoring tape is further wrapped with an outer layer of waterproof material of the sleep monitoring tape. 4 . 4. A sensorless sleep monitoring system, characterized in that: comprising the following modules: The signal acquisition module is used to collect real-time physiological signals of the object to be tested; The signal feature extraction module is used to perform information processing on the received real-time physiological signals of the object to be tested; The sleep analysis module is used to receive the processing data of the signal feature extraction module and perform sleep analysis; The monitoring software module is used to display the received physiological signals and the results of sleep analysis. 5. A kind of non-inductive sleep monitoring system according to claim 4, is characterized in that: the signal acquisition module comprises at least one of the acquisition module for acquiring heartbeat BCG signal and the acquisition module for acquiring body movement module. 6 . The non-inductive sleep monitoring system according to claim 5 , wherein the acquisition module for collecting BCG signals further comprises a BCG signal conditioning circuit module, and the BCG signal conditioning circuit module comprises a charge integration 6 . Amplifiers, second-order high-pass filters, fourth-order low-pass filters, and voltage amplifiers. 7 . The sensorless sleep monitoring system according to claim 4 , wherein the signal feature extraction module comprises a TMS320 control chip. 8 . 8 . The sensorless sleep monitoring system according to claim 4 , wherein the signal acquisition module is a sleep monitoring belt, the sleep analysis module is a cloud server, and the monitoring terminal software module is a mobile terminal. 9 . software.

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