WO2021121235A1

WO2021121235A1 - Sleep monitoring and regulation method and apparatus based on human body multimode signal

Info

Publication number: WO2021121235A1
Application number: PCT/CN2020/136635
Authority: WO
Inventors: 刘铁军; 郜东瑞; 谢佳欣; 宋晓宇; 黄振祥; 赵威; 李春燕; 吕彬; 任俊如; 尧德中
Original assignee: 电子科技大学
Priority date: 2019-12-17
Filing date: 2020-12-16
Publication date: 2021-06-24
Also published as: CN110946574A

Abstract

A monitoring and regulation method and apparatus based on a human body multimode signal. The apparatus comprises a sleep regulation bed (1), and a sleep monitoring module (2) and a sleep regulation module (3) that are disposed on the sleep regulation bed (1). The sleep monitoring module (2) is used for obtaining physiological signals and performing analysis according to the physiological signals to monitor a sleep state, wherein the physiological signals comprise an electroencephalogram signal, an electrocardiogram signal, an electrooculogram signal, a respiration signal, a body temperature signal, and a body movement signal; the sleep regulation module (3) is in signal connection with the sleep monitoring module (2) and is used for outputting, according to the monitoring result, regulation parameters for regulating a sleep environment. The apparatus can not only detect the sleep state and classify the sleep quality, but can also implement regulation by targeted means such as micro current, light, temperature, and somatosensory massage, so as to help a user improve the sleep quality.

Description

Sleep monitoring and regulating method and device based on human body multi-mode signal

Technical field

The invention belongs to the technical field of sleep monitoring, and specifically relates to a sleep monitoring and regulation method and device based on human multi-mode signals.

Background technique

According to a survey by the World Health Organization, about one-third of people worldwide have sleep problems. Insufficient sleep not only harms personal health and happiness, but also has a major impact on the country’s economy. Among them, lack of sleep causes the most The serious problem is: increase the risk of death. A report from Time magazine shows that compared with people who sleep less than 6 hours a night, the death rate of people who sleep less than 6 hours a night is 13% higher than that of people who sleep 6 hours a night. -7 hours are 7% higher.

With the development of the economy and personal awareness of sleep problems, more and more people have begun to choose sleep aid products to help sleep. Currently, the commonly used methods for regulating sleep include drugs, health products and sleep-improving devices. However, long-term consumption of drugs and health products may cause side effects such as drug dependence and hormone imbalance in the human body. Therefore, non-invasive electronic assisted sleep is gradually affected. People's favor.

At present, many researchers have provided some methods for monitoring sleep. The sleep state monitoring and evaluation system is widely regarded as a dedicated polysomnography (PSG), but the system is large in size and requires a dedicated computer for data analysis and collection. Moreover, it requires professional help to use it. For example, according to the patent CN 108992040A, the sleep action value and action frequency of the human body are activated by the acceleration sensor, and the sleep state is judged based on this. However, this method also has two problems: 1. The results can only be used as reference data, with low credibility, and cannot be used as a basis for medical monitoring of sleep. For example, when the user is lying still in bed in a daze, the invention cannot determine whether the user is asleep or awake; 2. The patent cannot determine the level of sleep. For effective division, only statistical estimation can be made;

The patent CN 109009149 A document judges the human's physiological state based on the contraction of the abdominal cavity. It is characterized by the automatic driving system. However, the problem is that the invention has a single function and can only monitor the breathing signal to monitor the sleep of high-risk groups. Classify and judge sleep quality; and the data in this invention needs to be sent to a special terminal for processing, which cannot reflect real-time performance;

The patent document CN109222961A judges sleep quality based on ECG and respiratory signals. It has a certain scientific basis, but there are some problems in practical applications. For example, the accuracy of the patent’s sleep quality evaluation is low. In the article "Multimodal information" Improve the rapid detection of mental fatigue" research pointed out that EEG signals are the "gold standard" for sleep quality evaluation, with an accuracy rate of over 95%, while the accuracy rate of other physiological signals such as ECG for evaluating sleep quality is less than 85%;

The patent document CN109350016A also evaluates the quality of sleep through the ECG and respiratory signals. Compared with CN109222961A, it only uses the wireless reflection method to obtain these signals. There is also the problem of low classification accuracy, and the focus of the invention is Sleep classification method, but this aspect is relatively simple, just after a simple pre-processing, FFT changes, the selection of data features is not obvious;

Document CN109480787A is an upgrade and improvement of patent CN109350016A. It uses radar waves to obtain ECG and respiration signals. Compared with patent CN109350016A, this method improves the accuracy of sleep quality evaluation to a certain extent, but it also has the following problems: As the core of sleep quality evaluation, the results of EEG cannot be recognized in the medical field; the second is that radar is electromagnetic radiation, which poses a certain safety risk to the human body; the third is the analysis and processing of data, which requires a special computer, which is inconvenient and costly. Higher.

Summary of the invention

In view of this, one of the objectives of the present invention is to provide a sleep monitoring and regulation method based on human multi-mode signals, which can quickly monitor sleep and regulate the sleep environment according to the monitoring results.

In order to achieve the above objective, the technical solution of the present invention is: a sleep monitoring and control method based on human multi-mode signals, including the following steps:

Collect physiological signals; the physiological signals include brain electrical signals, electrocardiographic signals, eye electrical signals, respiration signals, body temperature signals, and body movement signals;

Analyze the physiological signals and monitor the sleep state: use the brain electrical signal, the eye electrical signal, and the body movement signal to evaluate the sleep state and sleep stage, use the electrocardiographic signal, the The breathing signal is used to monitor the physical state of the user, and the body temperature signal is used to monitor changes in body temperature;

Regulate the sleep environment according to the monitoring structure.

Further, the step of evaluating the sleep state and sleep stage specifically includes:

Using an automatic staging method to remove artifacts from the EEG signal;

Segment the EEG signal after artifact removal according to the first preset time period, and add a Hamming window to the segmented data to obtain the input space;

For each data frame, extract time-domain features, frequency-domain features, time-frequency features, and nonlinear features to form a 25-dimensional feature space;

Using the feature space and common staging markers to form a training set as the input of the support vector machine model, and training the staging model;

The classification accuracy and generalization performance of the staging model are tested, and the model with the best test result is selected as the automatic staging model.

Further, the step of regulating the sleep environment according to the monitoring structure specifically includes: outputting current control parameters according to the monitoring result, so as to realize the micro-current stimulation to different regions of the human brain and adjust the sleep state;

According to the monitoring results, output light control parameters and emit different lights;

Output vibration control parameters according to the monitoring results, and send out vibrations of different intensities or frequencies;

According to the monitoring results, the temperature control parameters are output to adjust the sleep environment temperature.

Further, the EEG signals of different sleeping postures are collected through the dry electrode array.

The second objective of the present invention is to provide a sleep monitoring and control device based on human multi-mode signals, which can detect sleep status, classify sleep quality, and can specifically use micro current, light, temperature, somatosensory massage, etc. Ways to implement regulation to help users improve sleep quality.

To achieve the above objective, the technical solution of the present invention is: a sleep monitoring and regulating device based on human multi-mode signals, including a sleep regulating bed, and a sleep monitoring module and a sleep regulating module arranged on the sleep regulating bed;

The sleep monitoring module is used to obtain physiological signals and analyze them according to the physiological signals to monitor the sleep state; wherein, the physiological signals include brain electrical signals, electrocardiographic signals, eye electrical signals, respiration signals, body temperature signals And body movement signals;

The sleep control module is signal-connected with the sleep monitoring module, and is used for outputting control parameters for regulating the sleep environment according to the monitoring result.

Further, the sleep monitoring module includes a signal measurement sensor, a signal preprocessing unit, and an analysis monitoring unit;

The signal measurement sensor is used to collect the physiological signal;

The signal preprocessing unit is connected to the output terminal of the signal measurement sensor, and is used for amplifying and filtering the physiological signal and converting it into a digital physiological signal;

The analysis and monitoring unit is connected to the signal preprocessing unit, and is used to perform feature extraction, feature recognition, and feature classification on the digital physiological signal, and monitor sleep status

Further, the sleep control module includes: a micro-current stimulation unit, a light adjustment unit, a somatosensory vibration unit, and a temperature control unit; wherein,

The micro-current stimulation unit is used to output current control parameters according to the monitoring result to realize the micro-current stimulation of different regions of the human brain and adjust the sleep state;

The light adjusting unit is used for outputting light adjusting parameters according to the monitoring result, and emitting different light;

The somatosensory vibration unit is used to output vibration control parameters according to the monitoring result, and emit vibrations of different intensities or frequencies;

The temperature control unit is used for outputting temperature control parameters according to the monitoring result to adjust the sleep environment temperature.

Further, the signal measurement sensor includes a dry electrode array, and the dry electrode array is used to obtain EEG signals in different sleeping postures.

Further, the micro-current stimulation unit includes an over-current protection circuit, and the over-current protection circuit is used to automatically power off when the passing current exceeds a preset threshold.

Further, an automatic staging model is provided in the analysis monitoring unit, and the automatic staging model is used to classify the sleep state.

Compared with the prior art, the present invention has the following advantages:

(1) The present invention proposes a sleep monitoring and control method and device based on human multi-mode signals. Compared with existing methods in the market, it has higher accuracy and scientificity, because EEG signals are recognized by the academic circles at home and abroad for sleep The "gold standard" for state classification.

(2) The brain device of the present invention mainly uses EEG signals as the main basis for sleep detection. At the same time, it uses dry electrodes to form an array as a sensor to obtain EEG signals. The user does not need to inject electrode paste and the assistance of specialized personnel. The EEG signal can be monitored on the bed, which is easy to use; and the device can automatically detect the contact state of the user's scalp and the electrode, and select the best two-channel signal for collection, which can ensure that no additional impact on the user is caused, but also Obtain a higher EEG signal

(3) In addition to collecting EEG signals, the present invention can also collect ECG, EOG, respiration, body temperature, and body movement signals at the same time. It can not only assist in sleep state analysis and regulation, but also be effective for some special users, such as snoring and sudden changes. Monitor apneas, etc., and be able to issue alarms in time;

(4) This device can not only detect sleep status and classify sleep quality, but can also use micro-current, light, temperature, somatosensory massage and other methods to implement adjustments to help users improve sleep quality;

(5) The analysis and monitoring unit of the present invention adopts a multi-core digital processor, which can select different resources in the multi-core digital processor for processing according to different tasks. Sleep monitoring and control device portability.

Description of the drawings

In order to explain the embodiments of the present invention or the technical solutions in the prior art more clearly, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative labor.

Fig. 1 is a schematic structural diagram of a sleep monitoring and regulating device based on human multi-mode signals according to the present invention;

2 is a schematic diagram of the distribution of signal measurement sensors and the distribution of sensor state monitoring circuits of the sleep monitoring and regulating device based on human multi-mode signals according to the present invention;

Fig. 3 is a circuit diagram of the microcontroller of the sleep monitoring and regulating device based on the human body multi-mode signal according to the present invention;

4 is a circuit diagram of the sensor state detection circuit of the sleep monitoring module of the sleep monitoring and regulating device based on the human body multi-mode signal with the microcontroller removed;

5 is a circuit diagram of the analog signal amplification and filter circuit of the sleep monitoring module of the sleep monitoring and regulating device based on the human multi-mode signal of the present invention;

6 is a circuit diagram of the first analog-to-digital converter of the sleep monitoring module of the sleep monitoring and regulating device based on the human multi-mode signal of the present invention;

7 is a circuit diagram of the analysis and monitoring unit of the sleep monitoring module of the sleep monitoring and regulating device based on human multi-mode signals of the present invention;

8 is a schematic diagram of the structural connection of the sleep control module of the sleep monitoring and control device based on human multi-mode signals according to the present invention;

9 is a circuit diagram of the signal generator and the constant current source circuit in the micro-current stimulation unit of the sleep control module of the sleep monitoring and control device based on the human multi-mode signal of the present invention;

10 is a circuit diagram of the overcurrent protection circuit in the micro-current stimulation unit of the sleep control module of the sleep monitoring and control device based on the human multi-mode signal of the present invention;

11 is a circuit diagram of the emergency mechanical control switch in the micro-current unit stimulation of the sleep control module of the sleep monitoring and control device based on the human multi-mode signal of the present invention;

12 is a circuit diagram of the light adjustment unit of the sleep control module of the sleep monitoring and control device based on human multi-mode signals of the present invention;

13 is a circuit diagram of the somatosensory vibration unit of the sleep control module of the sleep monitoring and control device based on human multi-mode signals of the present invention;

14 is a circuit diagram of the temperature control unit of the sleep control module of the sleep monitoring and control device based on the human body multi-mode signal of the present invention;

15 is a flowchart of the automatic sleep staging algorithm of the sleep monitoring and regulating device based on human multi-mode signals of the present invention.

Detailed ways

In order to make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

Example 1

Referring to FIG. 1, it is a schematic structural diagram of a sleep monitoring and regulating device based on human multi-mode signals according to the present invention; specifically, the device includes:

Sleep control bed 1, sleep monitoring module 2, and sleep control module 3 arranged on sleep control bed 1;

The sleep monitoring module 2 is used to obtain physiological signals, analyze them according to the physiological signals, and monitor the sleep state; among them, the physiological signals include brain electrical signals, electrocardiographic signals, eye electrical signals, respiration signals, body temperature signals, and body movement signals;

The sleep monitoring module 2 includes a signal measurement sensor 21, a signal preprocessing unit 22, and an analysis monitoring unit 23;

The signal measuring sensor 21 is used to collect physiological signals. The physiological signals at this time are analog signals. The signal measuring sensor 21 in this embodiment includes brain electricity collection electrodes, ECG electrodes, eye electricity electrodes, respiration sensors, body temperature probes, and body movements. Sensors, etc.; the EEG acquisition electrode is a dry electrode array (dry electrode array), used to collect the EEG signals of the user in different sleeping postures (including sleeping on the back, sleeping on the left or right side); the ECG The electrode is attached to the left or right wrist; the EOG electrode is attached to the left or right upper and lower eyelids, the breathing sensor is located under the nostrils, the temperature probe is attached to the forehead, and the body movement sensor is located in the middle area of the bed;

The signal preprocessing unit 22 is connected to the output terminal of the signal measurement sensor 21, and is used to amplify and filter the physiological signal and convert it into a digital physiological signal;

In this embodiment, the signal preprocessing unit 22 includes a sensor state monitoring circuit, an analog signal amplifying and filtering circuit, and a first analog-to-digital converter; the sensor state monitoring circuit transmits the physiological signal obtained by the sensor in good contact with the human body to the analog signal The amplification and filtering circuit performs signal amplification and filtering circuits to realize the amplification and filtering of analog signals. Then, under the control of the analysis and monitoring unit 23, the first analog-to-digital converter is controlled to convert the analog signals into digital physiological signals,

For the signal measurement sensor 21 distribution and sensor state monitoring circuit distribution principle diagram in this embodiment, refer to FIG. 2. Specifically, the sensor state monitoring circuit includes a microcontroller 221, a second analog-to-digital converter 222, an impedance conversion module 223, and Channel analog switch 224, first two-channel analog switch 225, second two-channel analog switch 226, first transmitter follower 227, second transmitter follower 228 and resistor R229;

Among them, the microcontroller 221 is an ordinary microcontroller, and its circuit diagram can refer to Figure 3. It is composed of chip U3A, resistors R45 to R50, resistor RDM1, resistor RDP1, passive crystal oscillator X1, and capacitors C45 to C47; the model of the chip U3A For STM32F102, the resistance values of the resistors R45, R46, RDM1 and RDP1 are all 330Ω, the resistance values of the resistors R47～R49 are all 1KΩ, the resistance value of the resistor R50 is 10KΩ, and the capacitance values of the capacitors C45 and C46 are 22pF , The capacitance value of the capacitor C47 is 104F, and the frequency of the passive crystal oscillator X1 is 8MHz. The chip U3A is connected to one end of the resistor R45 through the pin PA9, and the other end of the resistor R45 is connected to the pins NA1～NA8 of the chip U01A of the multi-channel analog switch 224 in FIG. 4; the chip U3A is connected to one end of the resistor R46 through the pin PA10 The other end of the resistor R46 is connected to the control pin IN of the first two-channel analog switch 225 in FIG. 4; the chip U3A is connected to one end of the resistor R47 through the pin PA11, and the other end of the resistor R47 is connected to the second two channels in FIG. The control pin IN of the analog switch 226 is connected.

Referring to Figure 4, the second analog-to-digital converter 222 uses a chip U4A with the model number ADS8343; this chip U4A is connected to the power supply through pin VCC, grounded through pin GND and pin COM, and connected to chip U3A in Figure 3 through pin DCLK The pin PB0 is connected to the pin PB1 of the chip U3A in Figure 3 through the pin CS, the pin PB2 of the chip U3A in Figure 3 is connected through the pin DIN, and the pin BUSY is connected to the tube of the chip U3A in Figure 3 Pin PB5 is connected to pin PB6 of chip U3A in Figure 3 through pin Dout;

In one embodiment, the impedance conversion module 223 is composed of 27 operational amplifiers U01A connected in parallel. A resistor R1A is connected between the inverting input terminal and the output terminal of each operational amplifier U01A, and the inverting input of each operational amplifier U01A The terminal is connected to each dry electrode in the signal measurement sensor 21; the non-inverting input terminal of each operational amplifier U01A is connected to the pin CH0 of the chip U4A of the second analog-to-digital converter 222, and the positive pole of each operational amplifier U01A is connected to +5V Power supply, the negative pole of each operational amplifier U01A is connected to a -5V power supply; the resistance value of the resistor R1A is 100Ω;

Preferably, the multi-channel analog switch 224 is composed of a chip U1A and a chip U2A, both models of which are HCC4067; the first two-channel analog switch 225 adopts a chip U03A of the model ADG619, which is connected to the chip U1A of the multi-channel analog switch 224 through pin S1 The pin XI0 is connected to the inverting input terminal of the first follower 227 through the pin S2, the resistor R229 is connected to the pin IN, and the 2.5V power supply is connected to the resistor R229; at the same time, the chip U03A is also connected to the pin IN The pin CHO of the chip U4A of the second analog-to-digital converter 222;

Further, the second two-channel analog switch 226 in this embodiment adopts a chip U04A with a model number of ADG619, which is connected to the reference electrode of the ear clip through a signal line, and is connected to the reverse of the operational amplifier U06A of the second follower 228 through the pin S1. Phase input terminal, grounded through pin S2;

And the first emitter follower 227 is composed of an operational amplifier U05A and a resistor R30 connected between the inverting input terminal and the output terminal of the operational amplifier U05A. The resistance value of the resistor R30 is 100Ω; the positive electrode of the operational amplifier U05A is connected to + The 5V power supply, the negative pole is connected to the -5V power supply; the second emitter follower 228 is composed of an operational amplifier U06A and a resistor R31 connected between the inverting input terminal and the output terminal of the operational amplifier U06A. The resistance value of the resistor R31 is 100Ω.

In a specific embodiment, the operation process of the signal measurement sensor 21 and the sensor state monitoring circuit is: the dry electrode array of the signal measurement sensor 21 measures and monitors the EEG signals of the user under different sleeping positions; the dry electrode in the signal measurement sensor 21 The array is connected to the impedance conversion module 223, wherein each dry electrode in the signal measurement sensor 21 is connected to the inverting input terminal of each operational amplifier U01A in the impedance conversion module 223 to realize impedance conversion; each operational amplifier U01A in the impedance conversion module 223 The converted signal is output to the multi-channel analog switch 224. The pins NA1～NA8 of the chip U01A of the multi-channel analog switch 224 receive the control signal output by the microcontroller 221 to realize the output signal for each operational amplifier U01A in the impedance conversion module 223 And then output to the pin S1 of the first two-channel analog switch 225 through the pin XI0 of the multi-channel analog switch 224; the chip U03A of the first two-channel analog switch 225 receives the control signal of the microcontroller 221 through the pin NB , Realize that the pin S1 of the chip U03A of the first two-channel analog switch 225 is connected to the pin S2 or the pin IN of the chip U03A of the first two-channel analog switch 225, which is connected to the pin of the first two-channel analog switch 225 S2 connection means that the channel signal is available. After passing through the first transmitter 227, it is output to the signal input terminal of the operational amplifier U1 of the analog signal amplifying circuit of the analog signal amplifying and filtering circuit 23 in Figure 5, and connected to 2.5V after passing through the resistor R229. The voltage source is used to monitor the contact state of the dry electrode and the brain scalp; the ear clip reference electrode is placed at the earlobe position, and after passing through the second two-channel analog switch 226, the control signal is output through the pin PA11 under the control of the microcontroller 221, and then Output through pin 2 of 226 to the negative input terminal of the second emitter follower 208, and then output through the Vref terminal of 208 to form a differential signal with the electrode in the dry electrode array of the signal measurement sensor 21, and output to analog signal amplification and filtering Circuit; the second two-channel analog switch 226 under the control of the microcontroller 221 realizes that when the pin S1 of the chip U04A is connected to the pin D, it will realize the monitoring of the contact state of the dry electrode and the brain scalp; when the microcontroller 221 monitors After reaching the two dry electrodes with the least contact impedance with the scalp, the multi-channel analog switch 224 will be controlled to select these two dry electrodes to connect to the pins XI0 of the chip U1A and the chip U2A in the multi-channel analog switch 224, and control the first two at the same time. The pin S1 of the chip U03A of the channel analog switch 225 is connected with the pin S2, and the output pin of the second two-channel analog switch 226 is controlled to be connected with the inverting input pin to form a signal acquisition circuit;

For the circuit diagram of the analog signal amplifying and filtering circuit in this embodiment, refer to Figure 5, which is connected to the first analog-to-digital converter and includes an analog signal amplifying circuit and a second-order low-pass filter circuit; the analog signal amplifying circuit consists of operational amplifiers U1 to U3 and Resistor R0 is connected, the model of the operational amplifier U1 and U2 is AD8639, the model of the operational amplifier U3 is AD8424; the non-inverting input terminal of the operational amplifier U1 is the signal input terminal, and the reverse input terminal is connected to the output terminal; the operational amplifier The non-inverting input terminal of U2 is the reference signal input terminal, and the inverting input terminal is connected to the output terminal; the inverting input terminal of the operational amplifier U3 is connected to the output terminal of the operational amplifier U1, and the non-inverting input terminal of the operational amplifier U3 is connected to the operational amplifier The output terminal of U2; the resistor R0 is connected between the non-inverting input terminal and the inverting input terminal of the operational amplifier U3. As shown in Figure 5, the second-order low-pass filter circuit is composed of resistors R1 to R4, capacitors C1 to C2, and an operational amplifier U4. The model of the operational amplifier U4 is AD8639; among them, one end of the resistor R1 is a second-order low-pass The input pin VIN of the filter circuit is connected to the output pin Vout of the operational amplifier U3 in FIG. 6, and the other end of the resistor R1 is connected to the resistor R2 and connected to the inverting input terminal of the operational amplifier U4 through the resistor R2; the resistor R4 One end is grounded, and the other end is connected to the non-inverting input end of the operational amplifier U4; one end of the capacitor C1 is grounded, the other end is connected to the resistor R3 and connected to the output end of the operational amplifier U4 through the resistor R3; one end of the resistor R4 is grounded, and the other end is connected to the operational amplifier U4 The non-inverting input terminal.

For the circuit diagram of the first analog-to-digital converter in this embodiment, refer to FIG. 6. Specifically, the first analog-to-digital converter is electrically connected to the analysis and monitoring unit 23, and is composed of an operational amplifier U5, resistors R21 to R24, and an analog-to-digital converter. U6 is connected; the model of the operational amplifier U5 is THS4521; the model of the analog-to-digital converter U6 is ADS1278; one end of the resistor R21 is the first analog-to-digital converter input pin Vin and is connected to the output of the operational amplifier U4 in Figure 7 The other end of the resistor R21 is connected to the resistor R22 and the negative terminal of the operational amplifier U5 through the resistor R22; one end of the resistor R24 is grounded, and the other end is connected to the inverting input terminal of the operational amplifier U5; one end of the resistor R23 is connected to the operational amplifier U5 The inverting input terminal of the amplifier U5, the other end is connected to the positive electrode of the operational amplifier U5; the non-inverting input terminal of the operational amplifier U5 is connected between the resistor R21 and the resistor R22; the analog-to-digital converter U6 is connected to the operational amplifier U5 through the pin AIN_N The negative pole is connected to the output terminal of the operational amplifier U5 through the pin VCOM, and the positive pole of the operational amplifier U5 through the pin AIN_P; the analog-to-digital converter U6 also has a signal control line and a data output line, and the signal control of the analog-to-digital converter U6 The line is connected to the pin XA0 of the chip U5A in the analysis and monitoring unit 23 in Fig. 7, and the data output line of the analog-to-digital converter U6 is connected to the pin XA1 of the chip U5A in the analysis and monitoring unit 23 in Fig. 7; The analog-to-digital converter U6 converts the filtered and amplified analog EEG signal into a digital signal. Because the analog-to-digital converter U6 is a fully differential input mode, it is necessary to convert a single-ended analog signal to a differential signal, using a single-ended to differential chip THS4521 That is, operational amplifier U5, which realizes single-ended input and differential output;

The analysis and monitoring unit 23 is connected to the signal preprocessing unit 22, and is used to perform feature extraction, feature recognition, and feature classification on the digital physiological signal, and monitor the sleep state;

The analysis and monitoring unit 23 in this embodiment is a multi-core digital processor (DSP+ARM+FPGA). The analysis and monitoring unit 23 is composed of chip U5A, chip J5, chip S001, resistors RJ4 to RJ13, resistors RJ53 to RJ57, capacitors CC3, and capacitors. C15 ~ C19, capacitors C52 ~ C53, crystal oscillator X2, the circuit diagram can refer to Figure 7, preferably:

In a specific embodiment, the resistance value of the resistor RJ4 is 4.7KΩ, the resistance value of the resistor RJ5, the resistor RJ11, and the resistor RJ13 are all 2KΩ, the resistance value of the resistor RJ6 is 1KΩ, and the resistance value of the resistor RJ7 and the resistor RJ8 are both 3KΩ. , The resistance value of the resistor RJ9 is 22KΩ, the resistance values of the resistors RJ10 and RJ12 are both 4KΩ; the resistance values of the resistors RJ53～RJ57 are all 330Ω; the capacitance values of the capacitor CC3, the capacitors C15～C17, and the capacitors C52～C53 Both are 104F, and the capacitance values of the capacitors C18 and C19 are both 24PF; the model of the chip U5A is TMS320F2812PGF;

The connection method is: one end of the resistor RJ9 is grounded to GND, the other end is connected to the pin ADCRESEXT of the chip U5A; one end of the capacitor C52 is grounded to GND, and the other end is connected to the pin ADCREFM of the chip U5A; one end of the capacitor C53 is grounded to GND, and the other end is connected to the pin of the chip U5A ADCREFP; one end of the resistor RJ53 is connected to the power supply VDD33, the other end is connected to the pin XHOLD of the chip U5A; one end of the resistor RJ54 is connected to the power supply VDD33, and the other end is connected to the pin XHOLDA of the chip U5A; one end of the resistor R57 is connected to the power supply VDD33, and the other end is connected to the tube of the chip U5A Pin XREADY; the frequency of the crystal oscillator X2 is 30MHz, one end is connected to the pin X2 of the chip U5A, the other end is connected to the pin X2 of the chip U5A; one end of the capacitor C18 is grounded, and the other end is connected to the pin X2 of the chip U5A; one end of the capacitor C19 is grounded, The other end is connected to pin X2 of chip U5A;

Further, the model of the chip J5 is JTAG and has 14 pins, which are grounded through pin 8 and connected to the pin TDI of chip U5A in FIG. 7 through pin 3, and connected to the chip in FIG. 7 through pin 7 U5A pin TDO; one end of capacitor C15 is connected to resistor RJ4 and connected to pin 1 of chip J5 through resistor RJ4, and the other end of capacitor C15 is connected to resistor RJ6 and connected to

pins

9 and 11 of chip J5 through resistor RJ6; One end of the capacitor C16 is grounded, and the other end is connected to the No. 5 pin of the chip J5; one end of the resistor RJ5 is grounded, and the other end is connected to the No. 2 pin of the chip J5; one end of the resistor RJ7 is connected to the power supply VDD33, and the other end is connected to the No. 13 pin of the chip J5; One end of the resistor RJ8 is connected to the power supply VDD33, and the other end is connected to the 14th pin of the chip J5; one end of the capacitor C17 is grounded, and the other end is connected to the power supply VDD33;

In one embodiment, the model of the chip S001 is SW DIP-2; the chip S001 is connected to the resistor R13 through pin 1 and grounded through the resistor R13; the chip S001 is connected to the resistor R11 through pin 2 and grounded through the resistor R11; S001 is connected to resistor R10 through pin 3 and connected to power source VDD33 through resistor R10; chip S001 is connected to resistor R12 through pin 4 and power source VDD33 through resistor R12; one end of capacitor CC3 is grounded, and the other end is connected to power source VDD33.

The sleep control module 3 is signal-connected to the sleep monitoring module 2 and is used for outputting control parameters for regulating the sleep environment according to the monitoring result.

The sleep control module 3 in this embodiment includes a micro-current stimulation unit 31, a light adjustment unit 32, a somatosensory vibration unit 33, and a temperature control unit 34; refer to FIG. 8 for the circuit diagram of the sleep control module 3, where,

The micro-current stimulation unit 31 is used to output current control parameters according to the monitoring result, realize the micro-current stimulation of different regions of the human brain, and adjust the sleep state;

The micro-current stimulation unit 31 is electrically connected to the analysis and monitoring unit 23, and includes a signal generator 311, a constant current source circuit 312, an overcurrent protection circuit 313, and an emergency mechanical control switch 314; the signal input terminal of the signal generator 311 is connected to the analysis and monitoring unit 23 is electrically connected, the signal output terminal is connected to the constant current source circuit 312; the constant current source circuit 312 is electrically connected to the overcurrent protection circuit 313 and the emergency mechanical control switch 314; the output terminal IO of the overcurrent protection circuit 313 is connected to the human body to realize Micro-current stimulation to the human body, and when the passing current exceeds the preset threshold, the power is automatically cut off;

Further, the circuit diagram of the signal generator 311 and the constant current source circuit 312 can refer to FIG. 9. The signal generator 311 is composed of a chip DAC1, a capacitor C2, and a capacitor C3; the constant current source circuit 312 is composed of a capacitor C5, a capacitor C6, a capacitor Cp6, The capacitor C8, the resistor R6, the resistor R7, the resistor RdaD1, the resistor R15, and the Zener diode D0 are composed; the model of the Zener diode D0 is SMBJ2. Capacitor C2, Capacitor C3, Capacitor C6, Capacitor C8 have a capacitance value of 104F; Capacitance Cp6 has a capacitance value of 10uF; Resistance R6 has a resistance value of 15Ω, R7 and RdaD1 have zero resistance; resistance R15 has a resistance value 15KΩ;

The model of the chip DAC1 is DAC7760, which is grounded to AGND through the pin -VSENSE and the pin DVDD-EN, is connected to the 3.3V power supply through the pin DVDD, is connected to the pin PB0 of the chip U3A in Figure 3 through the pin ALARM, and through the pin LATCH Connect the pin XA2 of the chip U5A of the analysis and monitoring unit 23 in Fig. 7, connect the pin XA3 of the chip U5A of the analysis and monitoring unit 23 in Fig. 7 through the pin SCLK, and connect the pin of the chip U3A in Fig. 3 through the pin DIN PA7 is connected to pin PA6 of chip U3A in Figure 3 through pin SD0; one end of capacitors C2 and C3 are grounded, and the other end is connected to pin DVDD of chip DAC1; one end of resistor R6 is connected to pin IOUT of chip DAC1, and the other end is connected The resistor R7 is connected to the pin IN+ of the chip U7 in Figure 10 through the resistor R7; the anode terminal of the Zener diode D0 is grounded, and the cathode terminal is connected to the connection point between the resistor R6 and the resistor R7; one end of the capacitor C5 is connected to the tube of the chip DAC1 Pin HART-IN, the other end is grounded; one end of capacitor C8 is grounded, and the other end is connected to pin REFIN and pin REFOUT of chip DAC1 respectively; one end of resistor R15 is grounded, and the other end is connected to pin ISET-R of chip DAC1; one end of resistor RdaD1 is connected 15V power supply, the other end is connected to the pin DAVDD of the chip DAC1; the capacitor C6 and the capacitor Cp6 are both grounded at one end, and the other end is connected to the pin DAVDD of the chip DAC1.

Furthermore, the circuit diagram of the over-current protection circuit 313 can be referred to as FIG. 10, which is composed of chip U7, resistor R101, resistor R102, resistor Rsense1, resistor Rlimit1, and capacitor C1; the resistance value of resistor R101 is 10KΩ, and the resistance R102 is zero resistance. The resistance value of the resistor Rsense1 is 10-100Ω, the resistance value of the resistor Rlimit1 is 20K-23.5KΩ; the capacitance value of the capacitor C1 is 104F;

In this embodiment, the model of chip U7 is INA301A1, which is connected to a 3.3V power supply through pin VS, connected to pin PB1 of chip U3A in Figure 3 through pin OUT, and connected to pin U3A of chip U3A in Figure 3 through pin ALERT PB10, connect pin PB2 of chip U3A in Figure 3 through pin RESET, connect pin PA5 of chip U3A in Figure 3 through pin LIMIT, and ground AGND through pin GND; this resistor Rsense1 is connected to pin IN+ of chip U7 Between the capacitor C1 and the pin IN-; one end of the capacitor C1 is connected to the pin VS of the chip U7, and the other end is grounded; one end of the resistor R101 is connected to the pin VS of the chip U7, and the other end is connected to the pin ALERT of the chip U7; one end of the resistor Rlimit1 Connect the pin GND of the chip U7, the other end is connected to the resistor R102 and the pin LIMIT of the chip U7 is connected through the resistor R102.

Further, the circuit diagram of the emergency mechanical control switch 314 can refer to FIG. 11, which is composed of a transistor Q1, a resistor R100, and a switch S1; the resistance value of the resistor R100 is 1KΩ. Among them, the transistor Q1 adopts a PNP transistor, its collector is grounded, the base is connected to the pin XA4 of the chip U5A in the analysis and monitoring unit 23 in Figure 7, the emitter is connected to one end of the resistor R100; the other end of the resistor R100 is connected to the switch S1 and passes through the switch S1 Grounded.

The light adjustment unit 32 is used to output light adjustment parameters according to the monitoring results, and emit different lights to help people adjust the day and night life rules and other biological effects;

In this embodiment, the light adjustment unit 32 is electrically connected to the analysis and monitoring unit 23. Refer to FIG. 12 for the circuit diagram. The light adjustment unit 32 has 6 pins. The No. 1 pin A1 is connected to the chip U5A in the analysis and monitoring unit 23 in FIG. The pins GPIOB0-PWM7 are connected, the second pin A2 is connected to the pins GPIOB1-PWM8 of the chip U5A of the analysis and monitoring unit 23 in Fig. 7, and the third pin IO1 is connected to the chip U5A of the 23 in the analysis and monitoring unit in Fig. 7 The pins GPIOB2-PWM9 are connected, the 4th pin IO2 is connected to the pins GPIOB3-PWM10 of the chip U5A in the analysis and monitoring unit 23 in Fig. 7, and the 5th pin IO3 is connected to the 23’s in the analysis and monitoring unit in Fig. 7 The pins GPIOB4-PWM11 of the chip U5A are connected, and the 6th pin IO4 is connected to the pins GPIOB5-PWM12 of the chip U5A 23 in the analysis monitoring unit in FIG. 7.

The somatosensory vibration unit 33 is used to output vibration control parameters according to the monitoring results, control the motor to emit vibrations of different intensities or frequencies, and perform somatosensory control;

In this embodiment, the somatosensory vibration unit 33 is electrically connected to the analysis and monitoring unit 23. Refer to Figure 13 for the circuit diagram, which is composed of four vibration units; the first vibration unit UC1 has pin 1 grounded, and pin 2 is connected to a resistor R01 And connect the power supply VCC through the resistor R01; the No. 1 pin of the second vibration unit UC2 is grounded, the No. 2 pin is connected to the resistor R02 and the power supply VCC through the resistor R02; The No. 1 pin of the third vibration unit UC3 is grounded, and the No. 2 tube The pin is connected to the resistor R03 and the power supply VCC through the resistor R03; the pin 1 of the fourth vibration unit UC4 is grounded, the pin 2 is connected to the resistor R04 and the power source VCC is connected through the resistor R04; the resistances of the resistors R01 to R04 are all 1KΩ.

The temperature control unit 34 is configured to output temperature control parameters according to the monitoring result to adjust the sleep environment temperature;

In this embodiment, the temperature control unit 34 is electrically connected to the analysis and monitoring unit 23. For the circuit diagram, refer to FIG. 14. The temperature control unit 34 is composed of a temperature sensor T1, electric heaters J1 and J2; the temperature sensor T1's No. 1 pin is Measuring point (that is, the contact point with the human body), the No. 2 pin is a data line and is connected to the pin XA0 of the chip U5A of the analysis and monitoring unit 23 in Fig. 7; one end of the electric heater J1 is grounded to GND, and the other end is a control circuit The signal line of heater J1 is connected to the pins GPIOB6-T3PWM_T3CMP of chip U5A of the analysis and monitoring unit 23; one end of the electric heater J2 is grounded, and the other end is the signal line that controls the operation of the electric heater J2 and is connected to the analysis and monitoring The pins GPIOB7-T4PWM_T4CMP of the chip U5A of the unit 23 are connected.

When the device for monitoring and regulating sleep based on human multi-mode signals of this embodiment is in use:

The human body physiological electrical signal is obtained by the signal measurement sensor 21, and then after the sensor state monitoring circuit of the signal preprocessing unit 22, the signal obtained by the sensor in good contact with the human body is transmitted to the analog signal amplifying and filtering circuit to realize the analog signal Amplify and filter, and then, under the control of the analysis and monitoring unit 23, control the first analog-to-digital converter to convert the analog signal into a digital signal (implemented by FPGA core in the analysis and monitoring unit 23), and the analysis and monitoring unit 23 reads the first analog-to-digital After the digital signal output by the converter, the signal is processed, including signal preprocessing, feature extraction, feature recognition, feature classification and other operations to realize sleep state monitoring (implemented by the DSP core in the analysis and monitoring unit 23), and at the same time, the analysis and monitoring unit 23 Real-time display of multi-modal physiological signals and output control parameters (implemented by the ARM core in the analysis and monitoring unit 23); According to the monitoring results of the sleep monitoring module 2, output different parameters, control the functional modules of the sleep control module 3, and output different control data In the sleep control module 3, the micro-current stimulation unit 31 outputs different current parameters to achieve micro-current stimulation of different areas of the human brain and adjust the sleep state; the light adjustment unit 32 emits different light to help people adjust the day and night life rules and Other biological effects; the motor is controlled by the somatosensory vibration unit 33 to emit vibrations of different intensities or frequencies for somatosensory regulation; the temperature control unit 34 is used to adjust the temperature of the mattress to assist sleep.

Further, the micro-current stimulation unit 31 is used to regulate the sleep state: the signal generator 311, such as AD9831, is controlled by the analysis and monitoring unit 23 in FIG. 7 to control the signal generator 311 to output different amplitudes according to different sleep states. The stimulus signal of frequency; then the stimulus signal is output to the constant current source circuit 312 for processing, and the required current signal is stably output; at the same time, in order to prevent sudden situations, the current is too large and cause harm to the human body, the current output by the constant current source circuit 312 It will pass through the over-current protection circuit 313. When the current exceeds the set threshold, the circuit will automatically cut off power to effectively protect the human body. At the same time, in order to improve the safety level, dual-mechanism protection is adopted, that is, the emergency mechanical control switch 314 is adopted. When the user feels unwell Or when the overcurrent protection circuit 313 cannot function, the emergency mechanical control switch 314 can be used to realize the circuit emergency disconnection.

Preferably, this embodiment also provides a monitoring of the contact state of the brain electricity collection electrode (dry electrode) with the brain scalp: the circuit diagram can refer to FIG. 2, the judgment method of the microcontroller 221 when the dry electrode and the scalp contact state are monitored To: Use the second analog-to-digital converter 222 to obtain the voltage value V1 between the 3 pins of the 205 and the 207 connection, and set the resistance value of the 207 to R, then the contact Rz between the dry electrode and the scalp is:

Preferably, the value of R in this embodiment is 10K～50KΩ, and the value of Rz is obtained according to the above formula. When the value of Rz is greater than 100KΩ, it is considered that the dry electrode has no contact with the scalp; when the value of Rz is less than or equal to 100KΩ, it is considered to be The dry electrode has no contact with the scalp, and the two electrodes with the smallest impedance value are selected at the same time as effective sensors to collect EEG signals;

Further, the analysis and monitoring unit 23 is also provided with an automatic staging model, the automatic staging model is used to classify the sleep state, the acquisition of the automatic staging model, that is, the flow chart of the automatic sleep staging algorithm can refer to FIG. 15;

Specifically, for the determination of sleep status, an automatic staging method is adopted, that is, the EEG is removed by the IIR Butterworth bandpass filter (0.3Hz-35Hz), and then the signal is performed for 30 seconds without overlapping in the time series. Segment to obtain the staging data frame, and finally add a Hamming window to the segmented data frame to obtain the input space of the entire algorithm; then, for each data frame, the algorithm extracts the time domain features, frequency domain features, and time-frequency features of the EEG separately Features and nonlinear features constitute a 25-dimensional feature space; then the feature space and expert staging markers are used to form a training set as the input of the support vector machine model and the staging model is trained; finally, the classification accuracy and generalization performance of the staging model are tested and selected The model with the best test result is used as the automatic staging model.

The device in this embodiment uses EEG signals as the main basis for sleep monitoring. When designing the hardware circuit, dry electrodes are used to form an array to obtain EEG signals as sensors. At the same time, the hardware circuit can automatically monitor the user's scalp and For the electrode contact state, select the best two-channel signal for collection, which can not only ensure no additional impact on the user, but also obtain a higher EEG signal;

In addition, the hardware circuit of this device is portable. The sleep device recognized by doctors at home and abroad is polysomnography (PSG), but the system is large in size and requires a special computer for data analysis and collection, and requires professionals to use it. Help can be used; this patent uses the analysis and monitoring unit 23 (multi-core processor), such as AM5728, uses FPGA core to realize the control of the analog-to-digital converter, converts the analog signal into digital signal, and then uses the DSP core to realize the signal processing, Including signal preprocessing, feature extraction, feature recognition, feature classification and other operations to achieve sleep monitoring. At the same time, the DSP core sets the control parameters according to the sleep state monitoring results, and displays multi-modal physiological signals and output control parameters in real time. Get rid of the dependence of traditional computers and realize the portability of the system;

On the other hand, the device in this embodiment can not only monitor sleep status and classify sleep quality, but can also implement adjustments in specific ways such as micro-current, light, temperature, and somatosensory massage to help users improve sleep quality.

Example 2

Based on the device in Embodiment 1, this embodiment also provides a sleep monitoring and control method based on human multi-mode signals, and the method includes the following steps:

S1: Collect physiological signals;

Physiological signals include brain electrical signals, electrocardiographic signals, eye electrical signals, respiration signals, body temperature signals and body movement signals;

In this step, the EEG signals of the user under different sleeping positions are measured and monitored by the dry electrode array;

S2: Analyze physiological signals and monitor sleep status;

Use brain electrical signals, eye electrical signals, and body motion signals to evaluate sleep status and sleep stages, use electrocardiographic signals and respiratory signals to monitor the user's physical state, and use body temperature signals to monitor changes in body temperature;

Specifically, the step of evaluating the sleep state and sleep stage in this step specifically includes:

S21: Use automatic staging method to remove artifacts from EEG signals;

S22: Segment the EEG signal after artifact removal according to the first preset time period, and add a Hamming window to the segmented data to obtain an input space;

S23: For each data frame, extract time-domain features, frequency-domain features, time-frequency features, and nonlinear features to form a 25-dimensional feature space;

S24: Use the feature space and common staging markers to form a training set as the input of the support vector machine model and train the staging model;

S25: Test the classification accuracy and generalization performance of the staging model and select the model with the best test result as the automatic staging model.

S3: Regulate the sleep environment according to the monitoring structure.

In this embodiment, according to the monitoring result in step S2, different control parameters are output, specifically:

S31: Output current control parameters according to the monitoring results to achieve micro-current stimulation of different areas of the human brain and adjust sleep state;

When stimulating the micro-current in different areas of the human brain, a protection method is also provided, specifically, a threshold is set in advance at the same time. When the current exceeds the threshold, the circuit is automatically powered off to effectively protect the human body; the threshold is the human body can withstand, and Within the current range that will not cause physical harm;

S31: Output light control parameters according to the monitoring results, and emit different lights;

S31: Output vibration control parameters according to the monitoring results, and send out vibrations of different intensities or frequencies;

S31: Adjust the sleep environment temperature according to the monitoring result and output the temperature control parameter.

The embodiments of the present invention are described above with reference to the accompanying drawings, but the present invention is not limited to the above-mentioned specific embodiments. The above-mentioned specific embodiments are only illustrative and not restrictive. Those of ordinary skill in the art are Under the enlightenment of the present invention, many forms can be made without departing from the purpose of the present invention and the protection scope of the claims, and these all fall within the protection of the present invention.

Claims

A sleep monitoring and regulating device based on human multi-mode signals, comprising a sleep regulating bed, and a sleep monitoring module and a sleep regulating module arranged on the sleep regulating bed, characterized in that:

The sleep monitoring module is used to obtain physiological signals and analyze them according to the physiological signals to monitor the sleep state; wherein, the physiological signals include brain electrical signals, electrocardiographic signals, eye electrical signals, respiration signals, body temperature signals And body movement signals;

The sleep control module is signal-connected with the sleep monitoring module, and is used for outputting control parameters for regulating the sleep environment according to the monitoring result.
The device according to claim 1, wherein the sleep monitoring module comprises a signal measurement sensor, a signal preprocessing unit, and an analysis monitoring unit;

The signal measurement sensor is used to collect the physiological signal;

The signal preprocessing unit is connected to the output terminal of the signal measurement sensor, and is used for amplifying and filtering the physiological signal and converting it into a digital physiological signal;

The analysis and monitoring unit is connected to the signal preprocessing unit, and is used to perform feature extraction, feature recognition, and feature classification on the digital physiological signal, and monitor sleep status
The device according to claim 1, wherein the sleep control module comprises: a micro-current stimulation unit, a light adjustment unit, a somatosensory vibration unit, and a temperature control unit; wherein,

The micro-current stimulation unit is used to output current control parameters according to the monitoring result to realize the micro-current stimulation of different regions of the human brain and adjust the sleep state;

The light adjusting unit is used for outputting light adjusting parameters according to the monitoring result, and emitting different light;

The somatosensory vibration unit is used to output vibration control parameters according to the monitoring result, and emit vibrations of different intensities or frequencies;

The temperature control unit is used to output temperature control parameters according to the monitoring result to adjust the sleep environment temperature.
The device according to claim 1, wherein the signal measurement sensor comprises a dry electrode array, and the dry electrode array is used to obtain EEG signals in different sleeping postures.
The device according to claim 3, wherein the micro-current stimulation unit comprises an over-current protection circuit, and the over-current protection circuit is configured to automatically power off when the passing current exceeds a preset threshold.
The device according to claim 2, wherein an automatic staging model is provided in the analysis and monitoring unit, and the automatic staging model is used to classify the sleep state.
A sleep monitoring and regulation method based on human multi-mode signals, which is characterized in that it comprises the following steps:

Collect physiological signals; the physiological signals include brain electrical signals, electrocardiographic signals, eye electrical signals, respiration signals, body temperature signals, and body movement signals;

Analyze the physiological signals and monitor the sleep state: use the brain electrical signal, the eye electrical signal, and the body movement signal to evaluate the sleep state and sleep stage, use the electrocardiographic signal, the The breathing signal is used to monitor the physical state of the user, and the body temperature signal is used to monitor changes in body temperature;

Regulate the sleep environment according to the monitoring structure.
The method according to claim 7, wherein the step of evaluating sleep state and sleep stage specifically comprises:

Using an automatic staging method to remove artifacts from the EEG signal;

Segment the EEG signal after artifact removal according to the first preset time period, and add a Hamming window to the segmented data to obtain the input space;

For each data frame, extract time-domain features, frequency-domain features, time-frequency features, and nonlinear features to form a 25-dimensional feature space;

Using the feature space and common staging markers to form a training set as the input of the support vector machine model, and training the staging model;

The classification accuracy and generalization performance of the staging model are tested, and the model with the best test result is selected as the automatic staging model.
The method according to claim 7, wherein the step of regulating the sleep environment according to the monitoring structure specifically comprises:

Output current control parameters according to the monitoring results to achieve micro-current stimulation of different areas of the human brain and adjust sleep status;

According to the monitoring results, output light control parameters and emit different lights;

Output vibration control parameters according to the monitoring results, and send out vibrations of different intensities or frequencies;

According to the monitoring results, the temperature control parameters are output to adjust the sleep environment temperature.
8. The method according to claim 7, wherein the EEG signals in different sleeping postures are collected through a dry electrode array.