Sleep state evaluation method and system

Abstract

The invention belongs to the technical field of medical treatment and health state monitoring, and provides a sleep state evaluation method and system. The method comprises the following steps: acquiring an electroencephalogram signal, an airflow signal and a chest breathing movement signal; according to the chest breathing movement signals, whether the average value of the chest breathing movement signals within a period of time is smaller than a set first threshold value or not is calculated, and if yes, central sleep apnea occurs; according to the airflow signals, whether the average value of the airflow signals within a period of time is smaller than a set second threshold value or not is calculated, and if yes, obstructive sleep apnea occurs; in the central sleep apnea occurrence stage and / or the obstructive sleep apnea occurrence stage, according to the electroencephalogram signal, calculating a time following index of the sleep apnea occurrence period; according to the influence of the time following index in the sleep apnea occurrence period on the vital signs.

Description

Technical Field

[0001] The present invention belongs to the technical field of medical treatment and health status monitoring, and in particular relates to a sleep status assessment method and system. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] Currently, the most commonly used sleep monitoring method is to record the subject's various physiological information through polysomnography, integrate it into multiple signal channels, and then have experts perform manual visual judgment on the recorded information. This is time-consuming, and each indicator is isolated. It is impossible to judge the relationship between the various indicators, and the sleep status assessment is inaccurate. Summary of the invention

[0004] In order to solve the technical problems existing in the above-mentioned background technology, the present invention provides a sleep state assessment method and system, which can analyze the changes in EEG signals under two states of obstructive sleep apnea and central sleep apnea, and then assess the sleep state.

[0005] In order to achieve the above object, the present invention adopts the following technical solution:

[0006] A first aspect of the present invention provides a sleep state assessment method.

[0007] A method for evaluating a sleep state, comprising:

[0008] Acquire EEG signals, airflow signals and chest respiratory movement signals;

[0009] According to the chest respiratory movement signal, calculating whether the average value of the chest respiratory movement signal within a period of time is less than a set first threshold value, and if so, central sleep apnea occurs;

[0010] According to the airflow signal, calculating whether the average value of the airflow signal within a period of time is less than a set second threshold value, and if so, obstructive sleep apnea occurs;

[0011] During the occurrence stage of central sleep apnea and / or obstructive sleep apnea, a time tracking index during the occurrence of sleep apnea is calculated according to the EEG signal;

[0012] The impact on vital signs based on time-following indicators during sleep apnea episodes.

[0013] Furthermore, the determination of the occurrence stage of central sleep apnea includes:

[0014] Determine a time period t1 during which the average value of the chest respiratory motion signal is less than a first threshold;

[0015] After the time period t1, calculating the first time period t2 in which the average value of the chest respiratory motion signal is greater than the first threshold;

[0016] According to the difference between the time period t2 and the time period t1, the occurrence stage of central sleep apnea is obtained.

[0017] Furthermore, the time-following index during the occurrence of sleep apnea includes the time-following index during the occurrence of central sleep apnea, and the time-following index during the occurrence of central sleep apnea includes: the maximum value of the EEG during the occurrence of central sleep apnea per second, the minimum value of the EEG during the occurrence of central sleep apnea per second, the fluctuation index of the EEG during the occurrence of central sleep apnea per second, the transformation coefficient of the EEG during the occurrence of central sleep apnea per second, the activity of the EEG during the occurrence of central sleep apnea per second, and the mobility of the EEG during the occurrence of central sleep apnea per second.

[0018] Furthermore, the determination of the occurrence stage of obstructive sleep apnea includes:

[0019] Determine a time period t3 during which the average value of the airflow signal is less than a second threshold;

[0020] After the time period t3, the first time period t4 in which the average value of the airflow signal is greater than the second threshold is calculated;

[0021] According to the difference between the time period t4 and the time period t3, the occurrence stage of obstructive sleep apnea is obtained.

[0022] Furthermore, the time-following index during the occurrence of sleep apnea includes the time-following index during the occurrence of obstructive sleep apnea, and the time-following index during the occurrence of obstructive sleep apnea includes: the maximum value of the EEG during the occurrence of obstructive sleep apnea per second, the minimum value of the EEG during the occurrence of obstructive sleep apnea per second, the fluctuation index of the EEG during the occurrence of obstructive sleep apnea per second, the transformation coefficient of the EEG during the occurrence of obstructive sleep apnea per second, the activity of the EEG during the occurrence of obstructive sleep apnea per second, and the mobility of the EEG during the occurrence of obstructive sleep apnea per second.

[0023] Furthermore, when central sleep apnea and / or obstructive sleep apnea occurs, an alarm is issued.

[0024] A second aspect of the present invention provides a sleep state assessment system.

[0025] A sleep state assessment system, comprising:

[0026] A data acquisition module is configured to: acquire EEG signals, airflow signals, and chest respiratory movement signals;

[0027] The first judgment module is configured to: calculate, based on the chest respiratory movement signal, whether the average value of the chest respiratory movement signal within a period of time is less than a set first threshold value, and if so, central sleep apnea occurs;

[0028] The second judgment module is configured to: calculate, based on the airflow signal, whether the average value of the airflow signal within a period of time is less than a set second threshold value, and if so, obstructive sleep apnea occurs;

[0029] An index calculation module is configured to: calculate a time-following index during the occurrence of sleep apnea according to the EEG signal during the occurrence of central sleep apnea and / or obstructive sleep apnea;

[0030] The output module is configured to: follow the indicator according to the time during which sleep apnea occurs and determine the impact on life characteristics.

[0031] A third aspect of the present invention provides a sleep state assessment system.

[0032] A sleep state assessment system adopts the sleep state assessment method described in the first aspect, comprising: a data acquisition module, a main control module, a data transmission module and a host computer, wherein the data acquisition module is connected to the main control module, and the main control module is connected to the host computer through the data transmission module, and the data acquisition module comprises a plurality of EEG electrodes for collecting EEG signals, an airflow sensor for collecting airflow signals, and an electrode sensor for collecting chest respiratory movement signals.

[0033] A fourth aspect of the present invention provides a computer-readable storage medium.

[0034] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps in the sleep state assessment method as described in the first aspect above.

[0035] A fifth aspect of the present invention provides a computer device.

[0036] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in the sleep state assessment method as described in the first aspect above are implemented.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] The present invention first determines the occurrence stage of central sleep apnea and the occurrence stage of obstructive sleep apnea, then determines the occurrence stage of central sleep apnea and the occurrence stage of obstructive sleep apnea, combines EEG signals, determines the EEG time following index during the occurrence of central sleep apnea and the EEG time following index during the occurrence of obstructive sleep apnea, judges the relationship between the various indicators, and helps to accurately evaluate the sleep state.

[0039] The present invention can analyze changes in EEG signals under two states: obstructive sleep apnea and central sleep apnea, and further evaluate the sleep state. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0041] Figure 1 is a flow chart of a sleep state assessment method shown in the present invention;

[0042] Figure 2 is a framework diagram of a sleep state assessment system shown in the present invention;

[0043] Figure 3 is a schematic diagram of the position of EEG electrodes shown in the present invention;

[0044] Figure 4 It is a schematic diagram of the data acquisition module of the present invention being placed on the human body. DETAILED DESCRIPTION

[0045] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0046] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0047] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0048] It should be noted that the flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the methods and systems according to various embodiments of the present disclosure. It should be noted that each box in the flowchart or block diagram can represent a module, a program segment, or a part of a code, and the module, program segment, or a part of a code may include one or more executable instructions for implementing the logical functions specified in each embodiment. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, or they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the flowchart and / or block diagram, and the combination of boxes in the flowchart and / or block diagram can be implemented using a dedicated hardware-based system that performs a specified function or operation, or can be implemented using a combination of dedicated hardware and computer instructions.

[0049] Embodiment 1

[0050] like Figure 1 As shown, this embodiment provides a method for evaluating a sleep state, the method comprising the following steps:

[0051] Acquire EEG signals, airflow signals and chest respiratory movement signals;

[0052] According to the chest respiratory movement signal, calculating whether the average value of the chest respiratory movement signal within a period of time is less than a set first threshold value, and if so, central sleep apnea occurs;

[0053] According to the airflow signal, calculating whether the average value of the airflow signal within a period of time is less than a set second threshold value, and if so, obstructive sleep apnea occurs;

[0054] During the occurrence stage of central sleep apnea and / or obstructive sleep apnea, a time tracking index during the occurrence of sleep apnea is calculated according to the EEG signal;

[0055] The impact on vital signs based on time-following indicators during sleep apnea episodes.

[0056] Specifically, sleep apnea is divided into obstructive sleep apnea (OSAS), central sleep apnea (CSAS) and mixed sleep apnea (MSAS). The difference between obstructive sleep apnea and central sleep apnea is whether there is respiratory movement in the chest.

[0057] The following is divided into the judgment method and indicator display of central sleep apnea and the judgment method and indicator display of central sleep apnea.

[0058] Central sleep apnea diagnosis method and indicator display

[0059] Normalization. The chest respiratory motion signal R1 collected by the chest flexible sensor and the signal R2 collected by the airflow sensor are normalized to obtain the normalized chest respiratory motion signal R ′ 1 and airflow signal R ′ 2.

[0060]

[0061] Threshold determination. Calculate R ′ 1The average value of each 10s, the average value of the t-th 10s R ′ 1t The calculation method is as follows: if R ′ 1t If it is less than the value R3 threshold, R3 = 0.1, it is determined that central sleep apnea occurs. N and n represent the Nth and nth seconds.

[0062] R ′ 1t =(R ′ 1n +R ′ 1n+1 +R ′ 1n+2 +R ′ 1n+3 +R ′ 1n+4 +R ′ 1n+5 +R ′ 1n+6 +R ′ 1n+7 +

[0063] R ′ 1n+8 +R ′ 1n-9 ) / 10,n=1,2,3,...,N;t=1,2,3,...,N

[0064] Central sleep apnea occurs at the stage Tc adjacent to R ′ 1t Less than the value R3 threshold time t1 and R ′ 1t The time difference (Tc=T2-T1) greater than the value R3 threshold time t2.

[0065] At this time, the display module shows: a central pause occurs, and the alarm module prompts that a central pause occurs.

[0066] During the process of central sleep apnea, the time following indicators of EEG during central sleep apnea (the maximum value of EEG per second, the minimum value of EEG per second, the fluctuation index of EEG per second, the transformation coefficient of EEG per second, the activity of EEG per second, and the mobility of EEG per second) are displayed on the display module. Based on this, doctors and other professional and technical personnel judge the impact of one vital sign variation on other vital signs over time.

[0067] The EEG status during CSASabout maximum (ESCM) per second is

[0068] ESCM=MAX(EEG t )

[0069] EEGt represents the EEG signal at the tth second during the occurrence of central sleep apnea, and MAX represents the maximum value. This indicator represents the maximum value of the EEG signal.

[0070] The EEG status during CSASabout minimum (ESCMin) is

[0071] ESCMin=MIN(EEG t )

[0072] EEGt represents the EEG signal at the tth second during the occurrence of central sleep apnea, MIN represents the maximum value, and this indicator represents the minimum value of the EEG signal.

[0073] EEG status during CSASabout fluctuation index (ESCFI)

[0074]

[0075] ESCM and ESCMin cannot reflect EEG fluctuations, but this indicator can indicate the changes in the fluctuation amplitude of EEG signals.

[0076] The EEG status during CSASabout transformation coefficient (ESCTC) per second reflects the degree of change of EEG signals.

[0077]

[0078] The EEG status during CSASabout activity (ESCA) reflects the EEG fluctuation state from the perspective of amplitude.

[0079]

[0080] The EEG status during CSASabout mobility (ESCM) reflects the ability of the EEG signal to maintain this state.

[0081]

[0082] Obstructive sleep apnea diagnosis method and indicator display

[0083] Calculate R ′ The average value of 210s, if R ′ 2 is less than the breathing threshold R3 (R3 = 0.1), it is determined that obstructive sleep apnea occurs.

[0084] At this time, the display module shows that obstructive sleep apnea has occurred, and the alarm module issues a prompt

[0085] The display module displays various indicators during the occurrence of obstructive sleep apnea, that is, the time following indicators of EEG during the occurrence of obstructive sleep apnea include: the maximum value of EEG within one second during the occurrence of obstructive sleep apnea, the minimum value of EEG within one second during the occurrence of obstructive sleep apnea, the fluctuation index of EEG within one second during the occurrence of obstructive sleep apnea, the transformation coefficient of EEG within one second during the occurrence of obstructive sleep apnea, the activity of EEG within one second during the occurrence of obstructive sleep apnea and the mobility of EEG within one second during the occurrence of obstructive sleep apnea.

[0086] The EEG status during OSASabout maximum (ESOM) per second is

[0087] ESOM=MAX(EEG t )

[0088] EEGt represents the EEG signal at the tth second during the period of obstructive sleep apnea, and MAX represents the maximum value.

[0089] The EEG status during OSASabout minimum (ESOMin) is

[0090] ESOMin=MIN(EEG t )

[0091] EEGt represents the EEG signal at the tth second during the period of obstructive sleep apnea, and MIN represents the maximum value.

[0092] EEG status during OSASabout fluctuation index (ESOFI)

[0093]

[0094] EEG status during OSASabout transformation coefficient (ESOTC)

[0095]

[0096] EEG status during OSASabout activity (ESOA)

[0097]

[0098] EEG status during OSASabout mobility (ESOM)

[0099]

[0100] Embodiment 2

[0101] This embodiment provides a sleep state assessment system.

[0102] A sleep state assessment system, comprising:

[0103] A data acquisition module is configured to: acquire EEG signals, airflow signals, and chest respiratory movement signals;

[0104] The first judgment module is configured to: calculate, based on the chest respiratory movement signal, whether the average value of the chest respiratory movement signal within a period of time is less than a set first threshold value, and if so, central sleep apnea occurs;

[0105] The second judgment module is configured to: calculate, based on the airflow signal, whether the average value of the airflow signal within a period of time is less than a set second threshold value, and if so, obstructive sleep apnea occurs;

[0106] An index calculation module is configured to: calculate a time-following index during the occurrence of sleep apnea according to the EEG signal during the occurrence of central sleep apnea and / or obstructive sleep apnea;

[0107] The output module is configured to: follow the indicator according to the time during which sleep apnea occurs and determine the impact on life characteristics.

[0108] It should be noted that the data acquisition module, the first judgment module, the second judgment module, the index calculation module and the output module are the same as the examples and application scenarios implemented by the steps in Embodiment 1, but are not limited to the contents disclosed in Embodiment 1. It should be noted that the above modules as part of the system can be executed in a computer system such as a set of computer executable instructions.

[0109] Embodiment 3

[0110] This embodiment provides a sleep state assessment system.

[0111] A sleep state assessment system adopts the sleep state assessment method described in Example 1, comprising: a data acquisition module, a main control module, a data transmission module and a host computer, wherein the data acquisition module is connected to the main control module, and the main control module is connected to the host computer through the data transmission module, and the data acquisition module comprises a plurality of EEG electrodes for collecting EEG signals, an airflow sensor for collecting airflow signals, and an electrode sensor for collecting chest respiratory movement signals.

[0112] like Figure 2 , Figure 4 As shown, the airflow sensor can be a thermistor, a thermocouple, an airflow tube, etc. The airflow sensor collects the nasal airflow signal, which is amplified by the amplification module 1 and then enters the analog-to-digital conversion module 1, where the analog signal is converted into a digital signal and sent to the main control module; there can be four EEG electrodes, and the setting positions are as follows: Figure 3As shown, it is placed on the forehead to collect EEG signals. After amplification by the amplifier module 3, it enters the analog-to-digital conversion module 3, and is converted from analog signals to digital signals and sent to the main control module. The chest flexible sensor (electrode sensor) collects diaphragm signals during respiratory movement. After amplification by the amplifier module 5, it enters the analog-to-digital conversion module 3, and is converted from analog signals to digital signals and sent to the main control module. The main control module sends EEG signals, airflow signals, and chest respiratory movement signals to the host computer through a data transmission module (including a Bluetooth module, a WiFi module, a 4G module, a 5G module, etc.).

[0113] The host computer includes a computing unit, a display module and an alarm module. The computing unit is used for normalization processing of EEG signals, airflow signals and chest respiratory movement signals, threshold judgment, and index calculation. When the computing unit obtains the occurrence of central sleep apnea and / or obstructive sleep apnea, the alarm module prompts the occurrence of central apnea and / or obstructive sleep apnea. The display module displays the EEG time-following index during the occurrence of central sleep apnea and the EEG time-following index during the occurrence of obstructive sleep apnea.

[0114] Embodiment 3

[0115] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps in the sleep state assessment method described in the first embodiment are implemented.

[0116] Embodiment 4

[0117] This embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps in the sleep state assessment method described in the first embodiment when executing the program.

[0118] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.

[0119] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0120] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0121] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0122] A person skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0123] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for evaluating a sleep state, characterized in that: include: Acquire EEG signals, airflow signals and chest respiratory movement signals; According to the chest respiratory movement signal, calculating whether the average value of the chest respiratory movement signal within a period of time is less than a set first threshold value, and if so, central sleep apnea occurs; According to the airflow signal, calculating whether the average value of the airflow signal within a period of time is less than a set second threshold value, and if so, obstructive sleep apnea occurs; During the occurrence stage of central sleep apnea and / or obstructive sleep apnea, a time tracking index during the occurrence of sleep apnea is calculated according to the EEG signal; The impact on vital signs based on time-following indicators during sleep apnea episodes.

2. The sleep state assessment method according to claim 1, characterized in that: The determination of the occurrence stage of central sleep apnea includes: Determine a time period t1 during which the average value of the chest respiratory motion signal is less than a first threshold; After the time period t1, calculating the first time period t2 in which the average value of the chest respiratory motion signal is greater than the first threshold; According to the difference between the time period t2 and the time period t1, the occurrence stage of central sleep apnea is obtained.

3. The sleep state assessment method according to claim 1 or 2, characterized in that: The time following index during the occurrence of sleep apnea includes the time following index during the occurrence of central sleep apnea, and the time following index during the occurrence of central sleep apnea includes: the maximum value of EEG during the occurrence of central sleep apnea per second, the minimum value of EEG during the occurrence of central sleep apnea per second, the fluctuation index of EEG during the occurrence of central sleep apnea per second, the transformation coefficient of EEG during the occurrence of central sleep apnea per second, the activity of EEG during the occurrence of central sleep apnea per second and the mobility of EEG during the occurrence of central sleep apnea per second.

4. The sleep state assessment method according to claim 1, characterized in that: The determination of the occurrence stage of obstructive sleep apnea includes: Determine a time period t3 during which the average value of the airflow signal is less than a second threshold; After the time period t3, the first time period t4 in which the average value of the airflow signal is greater than the second threshold is calculated; According to the difference between the time period t4 and the time period t3, the occurrence stage of obstructive sleep apnea is obtained.

5. The sleep state assessment method according to claim 1 or 4, characterized in that: The time following index during the occurrence of sleep apnea includes the time following index during the occurrence of obstructive sleep apnea, and the time following index during the occurrence of obstructive sleep apnea includes: the maximum value of the EEG during the occurrence of obstructive sleep apnea per second, the minimum value of the EEG during the occurrence of obstructive sleep apnea per second, the fluctuation index of the EEG during the occurrence of obstructive sleep apnea per second, the transformation coefficient of the EEG during the occurrence of obstructive sleep apnea per second, the activity of the EEG during the occurrence of obstructive sleep apnea per second, and the mobility of the EEG during the occurrence of obstructive sleep apnea per second.

6. The sleep state assessment method according to claim 1, characterized in that: An alarm is triggered when central sleep apnea and / or obstructive sleep apnea occurs.

7. A sleep state assessment system, characterized in that: include: A data acquisition module is configured to: acquire EEG signals, airflow signals, and chest respiratory movement signals; The first judgment module is configured to: calculate, based on the chest respiratory movement signal, whether the average value of the chest respiratory movement signal within a period of time is less than a set first threshold value, and if so, central sleep apnea occurs; The second judgment module is configured to: calculate, based on the airflow signal, whether the average value of the airflow signal within a period of time is less than a set second threshold value, and if so, obstructive sleep apnea occurs; An index calculation module is configured to: calculate a time-following index during the occurrence of sleep apnea according to the EEG signal during the occurrence of central sleep apnea and / or obstructive sleep apnea; The output module is configured to: follow the indicator according to the time during which sleep apnea occurs and determine the impact on life characteristics.

8. A sleep state assessment system, characterized in that: The sleep state assessment method according to any one of claims 1 to 6 comprises: a data acquisition module, a main control module, a data transmission module and a host computer, wherein the data acquisition module is connected to the main control module, and the main control module is connected to the host computer through the data transmission module, and the data acquisition module comprises a plurality of EEG electrodes for collecting EEG signals, an airflow sensor for collecting airflow signals, and an electrode sensor for collecting chest respiratory movement signals.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps in the sleep state assessment method according to any one of claims 1 to 6 are implemented.

10. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps in the sleep state assessment method according to any one of claims 1 to 6 are implemented.

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