CN215959879U - Non-contact sleep monitoring system - Google Patents
Non-contact sleep monitoring system Download PDFInfo
- Publication number
- CN215959879U CN215959879U CN202122188383.8U CN202122188383U CN215959879U CN 215959879 U CN215959879 U CN 215959879U CN 202122188383 U CN202122188383 U CN 202122188383U CN 215959879 U CN215959879 U CN 215959879U
- Authority
- CN
- China
- Prior art keywords
- data
- bed
- pressure
- user
- pressure sensor
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Abstract
The utility model relates to the technical field of health monitoring, in particular to a non-contact sleep monitoring system, which comprises a pressure sensor, a data transmission unit, a data processing unit and a display unit, wherein the pressure sensor is used for transmitting data to the data processing unit; the pressure sensors are respectively arranged at the four corners of the bed legs and the middle position of the bed; the data processing unit receives pressure data of the pressure sensor through the data transmission unit, and the display unit is used for displaying the evaluation result; by adopting the utility model, the pressure sensor is embedded into the bed body and is not in direct contact with the user through monitoring and analyzing the piezoelectric signal of the pressure sensor, thereby reducing the interference to the sleep of the user, realizing the sleep monitoring without influencing the sleep quality and improving the health management of the body.
Description
Technical Field
The utility model relates to the technical field of health monitoring, in particular to a non-contact sleep monitoring system.
Background
The night sleep quality of the human body is evaluated, and generally, comprehensive evaluation is carried out from the subjective angle and the objective angle. The subjective level is mainly to observe the sleep state of the subject, including whether symptoms such as frequent awakening and tooth grinding appear at night; in an objective evaluation level, the currently internationally accepted evaluation gold standard is multi-parameter sleep monitoring, and after acquiring physiological signals of polysomnography, analysis is carried out to finally obtain objective sleep quality evaluation. In consideration of the problems of shortage of sleep monitoring medical resources in China, poor experience of patients and the like, a series of portable sleep monitoring devices are continuously introduced into the market, the products can be used for simply collecting and primarily screening sleep indications of human bodies, but comprehensiveness and accuracy of indexes related to the quality of the sleep of the human bodies need to be further improved. Common physiological signals collected by polysomnography include: electrophysiological signals, respiratory airflow signals, blood oxygen signals, and the like. These indices are very important for clinical diagnosis by sleeping doctors and for the daily care of patients with sleep disorders.
SUMMERY OF THE UTILITY MODEL
The utility model aims to provide a system which is simple in structure, practical in function and capable of detecting sleep quality by collecting and monitoring pressure change data.
A non-contact sleep monitoring system comprises a pressure sensor, a data transmission unit, a data processing unit and a display unit; the pressure sensors are respectively arranged at four corners of the bed legs and the middle position of the bed and are used for receiving pressure data which are changed due to different sleeping postures and actions of a user on the bed; the data processing unit receives pressure data of the pressure sensor through the data transmission unit, evaluates the sleep state of a user according to the pressure data, and sends an evaluation result to the display unit; the display unit is used for displaying the evaluation result;
further, the data processing unit comprises a user action recognition module and a respiration rate calculation module; the user action recognition module recognizes the bed-getting action, the bed-getting action and the turning-over action of a user by using piezoelectric signals of the pressure sensors, and the respiration rate calculation module uses pressure sensing data of the middle position of the bed as a data source of respiration of the user.
Further, the pressure sensor is a ceramic piezoelectric sensor;
further, the data transmission unit is a WIFI transceiver;
further, before the pressure data of the pressure sensor is transmitted to the data processing unit, the pressure data is amplified and filtered;
further, the display unit is a user side display device;
drawings
FIG. 1 is a schematic view of the overall structure of the present invention;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1, a non-contact sleep monitoring method and system includes a pressure sensor, a data transmission unit, a data processing unit, and a display unit; the pressure sensors are respectively arranged at four corners of the bed legs and the middle position of the bed and are used for receiving pressure data which are changed due to different sleeping postures and actions of a user on the bed; the data processing unit receives pressure data of the pressure sensor through the data transmission unit, evaluates the sleep state of a user according to the pressure data, and sends an evaluation result to the display unit; the display unit is used for displaying the evaluation result;
further, the data processing unit comprises a user action recognition module and a respiration rate calculation module; the user action recognition module recognizes the bed-getting action, the bed-getting action and the turning-over action of a user by using a piezoelectric signal of a pressure sensor, and the respiration rate calculation module uses pressure sensing data at the middle position of a bed as a data source for respiration of the user;
further, the pressure sensor is a ceramic piezoelectric sensor;
further, the data transmission unit is a WIFI transceiver;
further, before the pressure data of the pressure sensor is transmitted to the data processing unit, the pressure data is amplified and filtered;
further, the display unit is a user side display device;
in this embodiment, the user motion recognition module determines the getting-on-bed motion and the getting-off-bed motion of the user through a motion detection algorithm, including determining the user motion by using data fluctuation of a pressure sensor for several seconds;
the method comprises the following steps of judging user actions by utilizing data fluctuation of a pressure sensor every 3 seconds, specifically:
Et＝Var(nt)
In this embodiment, the basis for the respiration rate calculation module to determine the turning over action of the user is as follows: a group of pressure sensors are arranged in the middle, and pressure data difference values in 3s before and after monitoring are combined with pressure sensors at four corners of the bed legs, so that whether the user turns over is judged;
specifically, the turning action of the user is judged by the fact that the sum of the pressure data variances of the middle two pressure sensors in the front and back two times of 3s is not more than 30 times, and the sum of the pressure data variances of the middle two pressure sensors in the front and back two times of 3s is far larger than the sum of the pressure data variances of the pressure sensors respectively arranged at four corners of the bed legs in the front and back two times of 3 s.
The specific implementation process of the utility model is as follows:
the pressure sensors are ceramic pressure sensors which are respectively arranged at four positions of a bed corner, and two pressure sensors are arranged in parallel at the middle position of the bed, so that the bed can be covered to acquire the physiological information of a user, when the user is in contact with the bed, the pressure sensors start to work, and the physiological information of the user in a sleeping state is acquired through the pressure change.
When a user starts to use the mattress, the pressure sensor starts to acquire a pressure signal from the user and converts the pressure signal into an electric signal, the converted electric signal is very weak and needs to be amplified, an operational amplifier circuit with 10-time amplification capacity is used in the embodiment, the circuit can amplify a 1-1.3V signal output by the sensor to 0-3V so as to facilitate subsequent data processing, meanwhile, the electric signal not only contains physiological data of the user, but also contains various signals such as power frequency noise, circuit device noise and the like, heartbeat signals of a human body generated by respiratory expansion movement of lung and chest and heartbeat of heart beat are low-frequency signals, and in various interferences, the power frequency interference generated by a power supply and the circuit has large influence, and the filtering method in the embodiment is to utilize a notch filter to quickly attenuate an input signal at a frequency point.
After the user is confirmed to be in bed, two sensors in the middle of the bed are selected as main sensors from the 6 sensors, piezoelectric data of the two sensors in the middle of the bed are processed by a respiration monitoring algorithm according to the characteristics of respiration signals, and the respiration data of the human body are obtained. In the embodiment, the respiration monitoring algorithm utilizes a wavelet transform mode to extract respiration signals in the piezoelectric signals, in a normal sleep state, the respiration frequency of a human body per minute is 12-24, if the respiration frequency per minute is lower than 10, the physiological state of the human body at the moment is weak, if the respiration frequency per minute is higher than 25, the physiological state of the human body at the moment is over-active, the sampling frequency of a pressure sensor is 100HZ, the piezoelectric signal data is divided into 10 layers by using discrete wavelet transform, and the respiration frequency range of the human body is selected to be 0.2HZ-0.5HZ for decomposition and reconstruction to obtain a respiration oscillogram
By adopting the utility model, the pressure sensor is embedded into the bed body and is not in direct contact with the user through monitoring and analyzing the piezoelectric signal of the pressure sensor, thereby reducing the interference to the sleep of the user, realizing the sleep monitoring without influencing the sleep quality and improving the health management of the body.
The specific embodiments described herein are merely illustrative of the spirit of the utility model. Various modifications, additions and substitutions for the described embodiments may be made by those skilled in the art without departing from the scope and spirit of the utility model as defined by the accompanying claims.
Claims (6)
1. A non-contact sleep monitoring system is characterized by comprising a pressure sensor, a data transmission unit, a data processing unit and a display unit; the pressure sensors are respectively arranged at four corners of the bed legs and the middle position of the bed and are used for receiving pressure data which are changed due to different sleeping postures and actions of a user on the bed; the data processing unit receives pressure data of the pressure sensor through the data transmission unit, evaluates the sleep state of a user according to the pressure data, and sends an evaluation result to the display unit; the display unit is used for displaying the evaluation result.
2. The system of claim 1, wherein the data processing unit comprises a user action recognition module and a respiration rate calculation module; the user action recognition module recognizes the bed-getting action, the bed-getting action and the turning-over action of a user by using piezoelectric signals of the pressure sensors, and the respiration rate calculation module uses pressure sensing data of the middle position of the bed as a data source of respiration of the user.
3. The system of claim 1, wherein the pressure sensor is a ceramic piezoelectric sensor.
4. The system of claim 1, wherein the data transmission unit is a WIFI transceiver.
5. The system of claim 1, wherein the pressure data from the pressure sensor is amplified and filtered before being transmitted to the data processing unit.
6. The system of claim 1, wherein the display unit is a client display device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202122188383.8U CN215959879U (en) | 2021-09-10 | 2021-09-10 | Non-contact sleep monitoring system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202122188383.8U CN215959879U (en) | 2021-09-10 | 2021-09-10 | Non-contact sleep monitoring system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN215959879U true CN215959879U (en) | 2022-03-08 |
Family
ID=80464828
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202122188383.8U Active CN215959879U (en) | 2021-09-10 | 2021-09-10 | Non-contact sleep monitoring system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN215959879U (en) |
-
2021
- 2021-09-10 CN CN202122188383.8U patent/CN215959879U/en active Active
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11089993B2 (en) | Device and method for measuring sleep state, phase coherence calculation device, body vibration signal measurement device, stress level measurement device, sleep state measurement device, and cardiac waveform extraction method | |
| JP6697985B2 (en) | Biometric information output device | |
| JP5961235B2 (en) | Sleep / wake state evaluation method and system | |
| US20090024044A1 (en) | Data recording for patient status analysis | |
| JP5889197B2 (en) | Body movement monitoring device | |
| CN110115574A (en) | The method and apparatus of rhythm of the heart | |
| CN107041730A (en) | A kind of contactless sleep monitoring device and its monitoring method | |
| CN106937808A (en) | A kind of data collecting system of intelligent mattress | |
| CN104257368A (en) | Device for monitoring sleep and screening obstructive sleep apnea syndrome | |
| CN101536904A (en) | Heart electricity-based sleep apnea detection device | |
| CN107981846A (en) | Contactless multi-parameter sleep acquisition analysis system | |
| CN210408412U (en) | Portable dynamic cardiovascular parameter acquisition equipment | |
| CN113598758A (en) | Non-contact sleep monitoring method and system | |
| CN210228129U (en) | Sleep apnea hypopnea syndrome detection device | |
| CN210990210U (en) | Non-inductive sleep monitoring device and monitoring system | |
| CN215959879U (en) | Non-contact sleep monitoring system | |
| CN214433943U (en) | Toilet seat with physical sign monitoring function | |
| CN204394493U (en) | A kind of intelligent sphygmomanometer | |
| Jayadevappa et al. | Design and development of electro-optical system for acquisition of PPG signals for the assessment of cardiovascular system | |
| CN113662519A (en) | Non-contact heart and lung monitor and heart and lung monitoring system | |
| Armanfard et al. | Development of a Smart Home-Based Package for Unobtrusive Physiological Monitoring | |
| RU77766U1 (en) | DEVICE FOR NON-CONTACT REGISTRATION OF PHYSIOLOGICAL SIGNALS DURING SLEEP | |
| CN110680291A (en) | Pulse wave velocity method blood pressure monitoring device and monitoring method based on ultra wide band technology | |
| Srisuchinwong et al. | Acquiring unobtrusive sleep-related signals through an ESP32-based data logger | |
| Preejith et al. | High altitude study on finger reflectance SpO 2 |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |