Sleep monitoring method and sleep monitor based on gyroscope body movement monitoring

Abstract

The invention provides a sleep monitoring method and a sleep monitor based on gyroscope body movement monitoring, the sleep monitoring method based on gyroscope body movement monitoring is carried out based on the sleep monitor, the sleep monitor comprises a main control module, and an electroencephalogram acquisition module and a multi-axis motion sensor module which are connected with the main control module, the multi-axis motion sensor module comprises an acceleration machine and a gyroscope. The sleep monitoring method comprises the steps of data acquisition and synchronization, gyroscope activation, gyroscope operation, angular velocity analysis, electroencephalogram signal compensation and the like. The sleep monitor can execute the sleep monitoring method based on gyroscope body movement monitoring. The method has the advantages that the turning-over action recognition accuracy is improved from 82% to 96%, the quality of the electroencephalogram signals is improved by 40% after the electroencephalogram signals are compensated, and the daily average power consumption of the gyroscope is reduced to 0.9 mA.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical equipment, in particular to a sleep monitoring method based on gyroscope body motion monitoring and a sleep monitor. BACKGROUND

[0002] ‌Sleep monitors are professional devices that analyze sleep quality by collecting physiological signals (such as heart rate, respiration, body motion, etc.) or environmental data. They help users understand sleep cycles, deep and light sleep proportions, and the number of nighttime awakenings, providing scientific evidence for improving sleep.

[0003] As shown in the existing patent document with publication number CN109745002A, the most common sleep monitor on the market is the traditional polysomnography (PSG). PSG requires use in a hospital and has the defects of complex structure, high cost, and inconvenience of use. In addition, in order to achieve body motion monitoring, existing PSGs generally have an accelerometer (such as ADXL345), but the accelerometer can only detect linear displacement and cannot accurately identify axial rotation movements. Therefore, the defects of the prior art at least include: 1. Unable to identify axial rotation movements (such as turning over), resulting in a sleep staging misjudgment rate as high as 30%; 2. Muscle electrical noise generated by body motion pollutes the electroencephalogram signal, lacking a real-time compensation mechanism. SUMMARY

[0004] In view of the above-mentioned defects of the prior art, the purpose of the present application is to provide a sleep monitoring method based on gyroscope body motion monitoring and a sleep monitor, which can at least solve one of the problems in the prior art.

[0005] To achieve the above-mentioned purposes and other related purposes, the present application provides a sleep monitoring method based on gyroscope body motion monitoring. The method is based on a sleep monitor, which includes a main control module, an electroencephalogram acquisition module, and a multi-axis motion sensor module connected to the main control module. The multi-axis motion sensor module includes an accelerometer and a gyroscope. The sleep monitoring method at least includes the following steps: S1, data acquisition and synchronization: The electroencephalogram acquisition module continuously acquires electroencephalogram data and transmits it to the main control module; The accelerometer continuously acquires acceleration data and transmits it to the main control module; The main control module uses the internal RTC to stamp each data packet with an accurate timestamp, ensuring data synchronization; S2, activate the gyroscope: When the accelerometer detects a displacement mutation, the main control module activates the gyroscope; S3, Gyroscope works: turn on the gyroscope, the gyroscope continuously collects angular velocity data and transmits it to the main control module; S4, angular velocity analysis: The main control module analyzes the angular velocity data collected by the gyroscope: If the gyroscope detects an axial rotation action, it is marked as a turning event; If the above conditions are not met, it is marked as a micro-motion event; S5, compensate the EEG signal: Generate body motion noise model according to the angular velocity data collected by the gyroscope; Compensate the EEG signal according to the body motion noise model.

[0006] In some embodiments, in step S2, the displacement mutation is that the acceleration change detected by the accelerometer is greater than or equal to 0.3g.

[0007] In some embodiments, the INT pin of the multi-axis motion sensor module is directly connected to the GPIO pin of the main control module, and when the accelerometer detects a displacement mutation, an interrupt signal is triggered in step S2. After receiving the interrupt signal, the main control module activates the gyroscope.

[0008] In some embodiments, before step S2, it also includes S0: S0, initialization and parameter setting: The main control module initializes the EEG acquisition module and the multi-axis motion sensor module, and configures the sampling rate and range.

[0009] In some embodiments, in step S0, the sampling rate of the EEG acquisition module is 250Hz, and the sampling rate of the accelerometer of the multi-axis motion sensor module is 10Hz and the range is ±2g.

[0010] In some embodiments, in step S4, if the gyroscope Z-axis is greater than or equal to 45° / s and lasts for 500ms, it is marked as a turning event.

[0011] In some embodiments, in step S4, if the gyroscope detects that the Z-axis angular velocity is greater than or equal to 45° / s and lasts for 500ms, and the Y-axis acceleration change detected by the accelerometer is greater than or equal to 0.3~0.5g, it is marked as a turning event.

[0012] In some embodiments, in step S5, if it is marked as a turning event, the EEG signal compensation is to discard the EEG data corresponding to the turning event, and if it is marked as a micro-motion event, the EEG signal compensation is to filter the EEG data corresponding to the micro-motion event.

[0013] In some embodiments, in step S3, the gyroscope is activated only when the displacement mutation is detected and automatically hibernates after 10 seconds.

[0014] To achieve the above object and other related objects, the present application also provides a sleep monitor capable of performing the above-mentioned sleep monitoring method based on gyro body movement monitoring, which comprises a host and the following modules arranged on the host: a host control module; an electroencephalogram acquisition module connected with the host control module and used for acquiring electroencephalogram signals; a multi-axis motion sensor module connected with the host control module and used for acquiring motion signals; the multi-axis motion sensor module at least comprises an accelerometer used for acquiring acceleration and a gyroscope used for acquiring angular velocity; the host control module is responsible for controlling the electroencephalogram acquisition module and the multi-axis motion sensor module to acquire data, and can perform real-time processing on the acquired data.

[0015] In some embodiments, the host comprises a casing, a first circuit board and a first connector, the first circuit board is installed inside the casing, the first connector is installed at the bottom of the casing and electrically connected with the first circuit board, the electroencephalogram acquisition module comprises a soft gel patch, a second circuit board, an electroencephalogram acquisition chip, a second connector and electroencephalogram electrodes, the soft gel patch is attached to the forehead of a user, the second circuit board is installed inside the soft gel patch, the electroencephalogram electrodes are installed at the bottom of the soft gel patch and connected with the second circuit board, the second connector is installed at the top of the soft gel patch and electrically connected with the second circuit board, the second connector cooperates with the first connector, the host control module, the electroencephalogram acquisition chip and the multi-axis motion sensor module are all integrated on the first circuit board, and the first connector is electrically connected with the electroencephalogram acquisition chip.

[0016] In some embodiments, the sleep monitor can be used with a host computer, the host control module comprises a first Bluetooth communication module, the host computer comprises a second Bluetooth communication module, and the host control module is wirelessly connected with the host computer through Bluetooth. Thus, the host control module is responsible for controlling the electroencephalogram acquisition module to acquire electroencephalogram data, the multi-axis motion sensor to acquire acceleration data and angular velocity data, and then the host control module performs real-time processing on these data and transmits the results to the host computer through the Bluetooth module to monitor the sleep quality of a patient and whether a turning-over event occurs.

[0017] As mentioned above, the sleep monitoring method based on gyro body movement monitoring and the sleep monitor of the present application have the following beneficial effects: 1. The application provides a novel structure of sleep monitoring method and sleep monitoring instrument based on gyroscope body motion monitoring, which integrates a multi-axis motion sensor module in the sleep monitoring instrument, the multi-axis motion sensor module includes an accelerometer and a gyroscope, can identify the axial turning-over action through angular velocity characteristics, compensate the motion artifact of the electroencephalogram signal in real time based on the gyroscope data, dynamically control the start and stop of the gyroscope by using the acceleration trigger mechanism, can achieve the advantages of improving the turning-over action recognition accuracy from 82% to 96%, improving the quality of the electroencephalogram signal by 40% after compensation, reducing the daily average power consumption of the gyroscope to 0.9mA and the like.

[0018] 2. The sleep monitoring instrument of the application is a lower computer, which is attached to the forehead of the user during use, and can realize the detection algorithm of determining the turning-over event through the main control module, and process the data obtained by the electroencephalogram signal acquisition module and the multi-axis motion sensor module in real time, without relying on the upper computer, and the response is fast.

[0019] 3. Through the time stamp synchronization mechanism, the time alignment of the electroencephalogram signal and the body motion signal is ensured, and the accuracy of data fusion is improved.

[0020] 4. The sleep monitoring instrument of the application integrates various sensors such as electroencephalogram collector, accelerometer and gyroscope, and through the cooperative work of various sensors such as electroencephalogram collector, accelerometer and gyroscope, the accuracy and reliability of the result can be greatly improved. DETAILED DESCRIPTION

[0021] Figure 1 It is a schematic diagram of the three-dimensional structure of the sleep monitoring instrument of the application; Figure 2 It is a schematic diagram of the wearing of the sleep monitoring instrument shown in the drawing; Figure 1 Figure 3 It is another angle of the schematic diagram of the three-dimensional structure of the sleep monitoring instrument shown in the drawing; Figure 1 Figure 4 It is a schematic diagram of the top view structure of the sleep monitoring instrument shown in the drawing; Figure 1 Figure 5 It is a schematic diagram of the cross-sectional structure of the sleep monitoring instrument in the A-A direction shown in the drawing; Figure 4 Figure 6 It is a schematic diagram of the three-dimensional structure of the first circuit board and the electronic components integrated on the first circuit board shown in the drawing; Figure 5 Figure 7 It is a schematic diagram of the bottom view structure of the first circuit board shown in the drawing; Figure 6 Figure 8 It is a simplified system block diagram of the sleep monitoring instrument of the application; ​​​​​​Figure 9 The operation logic diagram of the sleep monitoring method based on gyroscope body movement monitoring of the application; Figure 10 The architecture diagram of the sleep monitor of the application.

[0022] Figures 1-8 Reference signs in the drawings: 100-sleep monitor; 200-upper computer; 200a-first Bluetooth communication module; 1-host computer; 2-host control module; 3-electroencephalogram acquisition module; 4-multi-axis motion sensor module; 11-casing; 12-first circuit board; 13-first connector; 14-first magnetic attraction member; 15-battery; 21-second Bluetooth communication module; 31-soft adhesive; 32-second circuit board; 33-electrode; 34-second connector; 35-second magnetic attraction member; 36-electroencephalogram acquisition chip; 37-ADC converter; 38-signal amplifier; 41-accelerometer; 42-gyroscope. DETAILED DESCRIPTION

[0023] The present application also can be implemented or applied by other different specific embodiments, and the details in the specification can be modified or changed based on different views and applications without departing from the spirit of the present application. It should be noted that the following examples and features in the examples can be combined with each other without conflict.

[0024] It should be noted that the diagrams provided in the following examples only illustrate the basic concept of the present application in a schematic manner, and only the components related to the present application are shown in the diagrams, not the number, shape and size of the components when actually implemented. The actual implementation of each component can be arbitrarily changed in type, number and proportion, and the component layout pattern can also be more complex.

[0025] Please refer to Figures 1-10 , the present application provides a sleep monitoring method based on gyroscope body movement monitoring and a sleep monitor, which belongs to the technical field of medical equipment and can overcome the shortcomings of traditional sleep monitors, such as high probability of misjudgment and missed judgment, poor precision, inability to meet the use requirements, high power consumption, etc.

[0026] As Figures 1-10 shown, the present application provides a sleep monitor in one of the embodiments, which includes a host computer 1 and the following modules arranged on the host computer 1: a host control module 2; an electroencephalogram acquisition module 3 connected with the host control module 2, used for acquiring electroencephalogram signals; A multi-axis motion sensor module 4 is connected to the main control module 2 and used to collect motion signals.

[0027] The multi-axis motion sensor module 4 at least includes an accelerometer 41 for collecting acceleration and a gyroscope 42 for collecting angular velocity.

[0028] The main control module 2 is responsible for controlling the electroencephalogram collection module 3 and the multi-axis motion sensor module 4 to collect data and can perform real-time processing on the collected data.

[0029] As a preferred, the main control module 2 adopts an nRF52840 chip, and the multi-axis motion sensor module 4 only needs to be able to collect acceleration data and angular velocity data, and can adopt a commercially available ICM20948 motion sensor or MPU6050 motion sensor, As a further preferred, the embodiment adopts an ICM20948 nine-axis motion sensor (3-axis accelerometer + 3-axis gyroscope + 3-axis magnetometer).

[0030] The electroencephalogram collection module 3 can continuously collect electroencephalogram data and transmit the collected electroencephalogram data to the main control module 2 through an SPI interface, the accelerometer 41 can continuously collect acceleration data and transmit the collected acceleration data to the main control module 2 through an I2C interface, and when the accelerometer 41 detects abnormal acceleration change, the main control module 2 controls the gyroscope 42 to start.

[0031] Specifically, when the accelerometer 41 detects motion exceeding a threshold value, the main control module 2 controls the gyroscope 42 to start.

[0032] As a further preferred, the threshold value is 0.3g-0.5g (g is the acceleration of gravity).

[0033] As a preferred, when the gyroscope 42 starts, the main control module 2 can perform roll-over event detection based on the angular velocity data collected by the gyroscope 42.

[0034] As a preferred, the determination criterion of the roll-over event is that the angular velocity in the Z-axis direction (the gyroscope 42 Z-axis is parallel to the human spine) is greater than 45° / s and lasts for more than 500ms.

[0035] As a preferred, the main control module 2 can perform roll-over event detection based on the angular velocity data collected by the gyroscope 42. Figures 3-7As shown, the host 1 of the embodiment includes a casing 11, a first circuit board 12 installed inside the casing 11, and a first connector 13 installed at the bottom of the casing 11 and electrically connected with the first circuit board 12. The brain electrical signal acquisition module 3 includes a soft gel patch 31, a second circuit board 32 installed inside the soft gel patch 31, a brain electrical signal acquisition chip 36, a second connector 34 installed at the top of the soft gel patch 31 and electrically connected with the second circuit board 32, and brain electrical signal electrodes 33 installed at the bottom of the soft gel patch 31 and connected with the second circuit board 32. The second connector 34 is matched with the first connector 13. The host control module 2, the brain electrical signal acquisition chip 36, and the brain electrical signal electrodes 33 are integrated on the first circuit board 12. The first connector 13 is electrically connected with the brain electrical signal acquisition chip 36.

[0036] Preferably, the brain electrical signal acquisition chip 36 is an ADS1292.

[0037] Preferably, the first connector 13 and the second connector 34 are Pogo Pin connectors.

[0038] Preferably, the bottom of the casing 11 is provided with a first magnetic attraction member 14, and the soft gel patch 31 is provided with a second magnetic attraction member 35 matched with the first magnetic attraction member 14. The soft gel patch 31, the second circuit board 32, the second connector 34, and the brain electrical signal electrodes 33 can jointly form a patch part detachable from the host 1, facilitating storage.

[0039] Preferably, the casing 11 of the embodiment has an overall arc structure, and includes an upper casing and a lower casing detachably matched. A first accommodating cavity is formed between the upper casing and the lower casing. The first circuit board 12 is installed in the first accommodating cavity. A first positioning groove is formed in the lower casing. The upper end of the first connector 13 is welded to the first circuit board 12, and the lower end thereof extends into the first positioning groove.

[0040] Further preferably, the first magnetic attraction member 14 is two, symmetrically arranged at the two ends of the length direction of the lower casing.

[0041] Preferably, the host 1 further includes a battery 15 installed in the casing 11 and electrically connected with the host control module 2, for supplying power to various electrical components.

[0042] Preferably, the first circuit board 12 of the embodiment is a PCB board, the second circuit board 32 is an FPC circuit board, and the soft gel patch 31 is a soft patch material, usually made of silicone or TPU (thermoplastic polyurethane), which can be attached to human skin and has good comfort. The soft gel patch 31 covers the FPC circuit board, and the FPC circuit board plays a role in transmitting brain electrical signals.

[0043] As preferred, the electroencephalogram electrode 33 is a silver chloride dry electrode 33.

[0044] The specific forming mode of the electroencephalogram acquisition module 3 of the embodiment is as follows: the first end of the electrode 33 and the first end of the second connector 34 are respectively welded on two surfaces of the second circuit board 32, and then the whole is packaged with the second magnetic attraction piece 35 and the like to form a soft adhesive patch 31, when the soft adhesive patch 31 is adsorbed in place with the first magnetic attraction piece 14 of the host 1, the second end of the second connector 34 is attached to the first end of the first connector 13, the corresponding contacts are in contact, the circuit is conducted, and the second end of the first connector 13 is welded on the first circuit board 12.

[0045] As Figure 8 shown, the sleep monitor 100 of the embodiment can be used in conjunction with the upper computer 200, the host control module 2 includes a first Bluetooth communication module 200a, the upper computer 200 includes a second Bluetooth communication module 21, and the host control module 2 is wirelessly connected with the upper computer 200 through Bluetooth. Therefore, the host control module 2 is responsible for controlling the electroencephalogram acquisition module 3 to collect electroencephalogram data, the multi-axis motion sensor to collect acceleration data and angular velocity data, and then the host control module 2 processes these data in real time and transmits the results to the upper computer 200 through the Bluetooth module to monitor the sleep quality of the patient and whether apnea occurs.

[0046] The application also provides a sleep monitoring method based on gyroscopic body motion monitoring, which is based on the above-mentioned sleep monitor 100 and is realized through the following steps: S0, initialization and parameter setting: The host control module 2 initializes the electroencephalogram acquisition module 3 and the multi-axis motion sensor module 4, and configures the sampling rate and the range; Among them, the electroencephalogram acquisition module 3 is configured with a sampling rate of 250 Hz, the accelerometer 41 of the multi-axis motion sensor module 4 is configured with a sampling rate of 10 Hz, and the range is ±2g; S1, data acquisition and synchronization: The electroencephalogram acquisition module 3 continuously collects electroencephalogram data and transmits it to the host control module 2; The accelerometer 41 continuously collects acceleration data and transmits it to the host control module 2; The host control module 2 uses the internal RTC to stamp each data packet with an accurate time stamp to ensure data synchronization.

[0047] S2, activate the gyroscope 42: When the accelerometer 41 detects a displacement mutation, the host control module 2 is triggered to activate the gyroscope 42; In this step, the standard for displacement mutation is that the acceleration change detected by the accelerometer 41 is greater than or equal to 0.3g (g is the acceleration of gravity). In this step, the INT pin of the multi-axis motion sensor module 4 is directly connected to the GPIO pin of the master module 2, and when the accelerometer 41 detects a displacement mutation, an interrupt signal is triggered, and after the master module 2 receives the interrupt signal, the gyroscope 42 is activated.

[0048] S3, the gyroscope 42 works: The gyroscope 42 is turned on, and the gyroscope 42 continuously collects angular velocity data and transmits it to the master module 2.

[0049] S4, angular velocity analysis: The master module 2 analyzes the angular velocity data collected by the gyroscope 42: If the gyroscope 42 detects an axial rotation action, it is marked as a turning event; If the above conditions are not met, it is marked as a micro-motion event; In this step, the condition for marking a turning event is that the Z-axis detected by the gyroscope 42 is ≥45° / s and lasts for 500ms, or the Z-axis angular velocity detected by the gyroscope 42 is ≥45° / s and lasts for 500ms, and the Y-axis acceleration change detected by the accelerometer 41 is ≥0.3~0.5g.

[0050] S5, compensate the electroencephalogram signal: Generate a body motion noise model according to the angular velocity data collected by the gyroscope 42; Compensate the electroencephalogram signal according to the body motion noise model; In this step, if it is marked as a turning event, the electroencephalogram signal compensation is to directly discard the electroencephalogram data corresponding to the turning event, and if it is marked as a micro-motion event, the electroencephalogram signal compensation is to filter the electroencephalogram data corresponding to the micro-motion event.

[0051] As a preferred, the filtering processing can be a commonly used band-pass filter and the like processing on the market.

[0052] As a preferred, the gyroscope 42 is only activated when a displacement mutation is detected and automatically enters a sleep mode after being activated for 10 seconds, and waits to be activated again when the next displacement mutation occurs.

[0053] The accelerometer 41 of the present application is a normally open module (0.1mA), and the gyroscope 42 is only activated when a displacement mutation is detected and automatically enters a sleep mode after being activated for 10 seconds, which not only can realize high-precision monitoring, but also does not need to continuously activate the gyroscope 42, and the daily average power consumption of the gyroscope 42 is reduced to 0.9mA.

[0054] As described above, the sleep monitoring method and sleep monitoring instrument based on gyroscope body motion monitoring of the present application have at least the following advantages over the prior art: 1. The application provides a novel structure of sleep monitoring method and sleep monitoring instrument based on gyroscope body motion monitoring, which integrates a multi-axis motion sensor module 4 in the sleep monitoring instrument 100, the multi-axis motion sensor module 4 includes an accelerometer 41 and a gyroscope 42, the axial turning-over action can be recognized through angular velocity characteristics, the motion artifact of electroencephalogram signal is compensated in real time based on gyroscope data, the acceleration trigger mechanism is used to dynamically control the start and stop of the gyroscope 42, the turning-over action recognition accuracy can be improved from 82% to 96%, the quality of the electroencephalogram signal after compensation is improved by 40%, the daily average power consumption of the gyroscope 42 is reduced to 0.9mA and many other advantages.

[0055] 2. The sleep monitoring instrument 100 of the application is a lower computer, which is attached to the forehead of the user when used, the detection algorithm for determining respiratory pause events and turning-over events can be realized through the main control module 2, the data obtained by the electroencephalogram signal acquisition module and the multi-axis motion sensor module 4 can be processed in real time, the upper computer 200 is not needed, and the response is fast.

[0056] 3. The time stamp synchronization mechanism is used to ensure the time alignment of the electroencephalogram signal and the body motion signal, and improve the accuracy of data fusion.

[0057] 4. The sleep monitoring instrument 100 of the application integrates various sensors such as electroencephalogram collector, accelerometer 41 and gyroscope 42, and through the cooperative work of various sensors such as electroencephalogram collector, accelerometer 41 and gyroscope 42, the accuracy and reliability of the results can be greatly improved.

[0058] The above examples only exemplarily illustrate the principles and effects of the application, and are not used to limit the application. Any person skilled in the art can modify or change the above examples without departing from the spirit and scope of the application. Therefore, all equivalent modifications or changes completed by those skilled in the art without departing from the spirit and technical thought disclosed by the application should be covered by the claims of the application.

Claims

1. A sleep monitoring method based on gyroscope body motion monitoring, characterized in that, Based on a sleep monitor (100), the sleep monitor (100) includes a main control module (2) and an EEG acquisition module (3) and a multi-axis motion sensor module (4) connected to the main control module (2). The multi-axis motion sensor module (4) includes an accelerometer and a gyroscope (42). The sleep monitoring method includes at least the following steps: S1. Data Acquisition and Synchronization: The EEG acquisition module (3) continuously acquires EEG data and transmits it to the main control module (2); The accelerometer (41) continuously collects acceleration data and transmits it to the main control module (2); The main control module (2) uses its internal RTC to add a precise timestamp to each data packet to ensure data synchronization; S2, Activate the gyroscope (42): When the accelerometer (41) detects a sudden change in displacement, the main control module (2) is triggered to activate the gyroscope (42); S3, Gyroscope (42) operation: Turn on the gyroscope (42), and the gyroscope (42) continuously collects angular velocity data and transmits it to the main control module (2); S4, Angular velocity analysis: The main control module (2) analyzes the angular velocity data collected by the gyroscope (42): If the gyroscope (42) detects an axial rotation, it is marked as a rollover event; If the above conditions are not met, it is marked as a micro-motion event; S5, Compensating for EEG signals: A body motion noise model is generated based on the angular velocity data collected by the gyroscope (42); EEG signal compensation based on body motion noise model.

2. The sleep monitoring method based on gyroscope body motion monitoring according to claim 1, characterized in that, In step S2, the displacement abrupt change is the acceleration change detected by the accelerometer (41) that is greater than or equal to 0.3g.

3. The sleep monitoring method based on gyroscope body motion monitoring according to claim 2, characterized in that, The steps preceding step S1 also include: S0. Initialization and parameter settings: The main control module (2) initializes the EEG acquisition module (3) and the multi-axis motion sensor module (4), and configures the sampling rate and range.

4. The sleep monitoring method based on gyroscope body motion monitoring according to claim 3, characterized in that, In step S0, the sampling rate of the EEG acquisition module (3) is 250Hz, and the sampling rate of the accelerometer (41) of the multi-axis motion sensor module (4) is 10Hz with a range of ±2g.

5. The sleep monitoring method based on gyroscope body motion monitoring according to claim 1, characterized in that, In step S4, if the Z-axis of the gyroscope (42) is ≥45° / s and lasts for 500ms, it is marked as a rollover event; or, if the Z-axis angular velocity detected by the gyroscope (42) is ≥45° / s and lasts for 500ms and the Y-axis acceleration change detected by the accelerometer (41) is ≥0.3~0.5g, it is marked as a rollover event.

6. The sleep monitoring method based on gyroscope body motion monitoring according to claim 1, characterized in that, In step S5, if the event is marked as a rolling over event, the EEG signal compensation will directly discard the EEG data corresponding to the rolling over event. If the event is marked as a micro-movement event, the EEG signal compensation will filter the EEG data corresponding to the micro-movement event.

7. The sleep monitoring method based on gyroscope body motion monitoring according to claim 6, characterized in that, In step S3, the gyroscope (42) is activated only when a displacement change is detected and automatically goes into sleep mode after 10 seconds.

8. A sleep monitoring device, characterized in that, The sleep monitor (100) is capable of performing the sleep monitoring method based on gyroscope motion monitoring as described in any one of claims 1-7, and includes a main unit (1) and the following modules disposed on the main unit (1): Main control module (2); The EEG acquisition module (3) is connected to the main control module (2) and is used to acquire EEG signals; A multi-axis motion sensor module (4) is connected to the main control module (2) and is used to collect motion signals; The multi-axis motion sensor module (4) includes at least an accelerometer (41) for acquiring acceleration and a gyroscope (42) for acquiring angular velocity; The main control module (2) is responsible for controlling the EEG acquisition module (3) and the multi-axis motion sensor module (4) to acquire data, and can process the acquired data in real time.

9. The sleep monitoring device according to claim 8, characterized in that, The host (1) includes a housing (11), a first circuit board (12), and a first connector (13). The first circuit board (12) is installed inside the housing (11), and the first connector (13) is installed at the bottom of the housing (11) and electrically connected to the first circuit board (12). The EEG acquisition module (3) includes a soft adhesive patch (31), a second circuit board (32), an EEG acquisition chip (36), a second connector (34), and EEG electrodes (33). The soft adhesive patch (31) is attached to the user's forehead, and the second circuit board (32) is installed on the soft adhesive patch. Inside the adhesive patch (31), the EEG electrode (33) is installed at the bottom of the adhesive patch (31) and connected to the second circuit board (32). The second connector (34) is installed at the top of the adhesive patch (31) and electrically connected to the second circuit board (32). The second connector (34) cooperates with the first connector (13). The main control module (2), the EEG acquisition chip (36) and the multi-axis motion sensor module (4) are all integrated on the first circuit board (12). The first connector (13) is electrically connected to the EEG acquisition chip (36).

10. The sleep monitor according to claim 9, characterized in that, It can be used with a host computer (200). The main control module (2) includes a first Bluetooth communication module (200a), and the host computer (200) includes a second Bluetooth communication module (21). The main control module (2) and the host computer (200) are wirelessly connected via Bluetooth.

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