CN116350187A - Sleep stage detection method, device and system - Google Patents

Sleep stage detection method, device and system Download PDF

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CN116350187A
CN116350187A CN202310394004.1A CN202310394004A CN116350187A CN 116350187 A CN116350187 A CN 116350187A CN 202310394004 A CN202310394004 A CN 202310394004A CN 116350187 A CN116350187 A CN 116350187A
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sleep
movement
respiratory
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尚从平
叶志民
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Bioisland Laboratory
Guangzhou National Laboratory
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Bioisland Laboratory
Guangzhou National Laboratory
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A61B5/4812—Detecting sleep stages or cycles
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
    • A61B5/0816—Measuring devices for examining respiratory frequency
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/113—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb occurring during breathing

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Abstract

The embodiment of the disclosure discloses a sleep stage detection method, device and system, wherein the method comprises the following steps: acquiring a first signal, a second signal and a third signal of a subject, wherein the first signal is a signal related to body movement, the second signal is a signal related to respiratory movement, and the third signal is an ear movement signal; and determining a sleep state according to the first signal, the second signal and the third signal. According to the technical scheme, the signals related to respiratory movement, the signals related to body movement and the signals related to ear movement of the subject are integrated to identify whether the subject is in a waking state or in a sleeping stage, and the rapid eye movement sleep or the non-rapid eye movement sleep is achieved, so that the damage caused by the electrode placed through operation is avoided, the identification can be completed noninvasively, and the study of sleeping is facilitated.

Description

Sleep stage detection method, device and system
Technical Field
The disclosure relates to the field of biotechnology, and in particular relates to a sleep stage detection method, device and system.
Background
Sleep is one of the most basic vital activities of organisms, and sleep research has been one of the hot spots and difficult problems in the field of neurobiology.
Organisms often appear very quiet during sleep, and the processing of external perception information is minimal. Stage by stage according to neurophysiologic characteristics. Sleep of animals can be classified into Rapid-eye movement (REM) sleep and non-Rapid-eye movement (NREM) sleep. Among them, rapid eye movement sleep is a prominent brain state accompanied by various features such as random eye movements, vivid dreams, quiet muscle tone, impaired homeostatic regulation of the body (e.g. temperature, heart rate, etc.), brain activity marked by an enhancement of specific brain oscillations.
Brain oscillations are an electrophysiological activity that is widely used to define sleep stages. The identification of brain oscillations associated with a particular sleep stage enables researchers to learn such confounding systems from the perspective of brain neural activity. There are three main classes of oscillations in the brain of sleeping mice; slow-wave oscillation (SWO, <1 Hz), delta oscillation (1-4 Hz) and theta oscillation (4-10 Hz or 12Hz; this range is slightly different according to the literature). SWO and delta oscillations are characteristic of non-rapid eye movement sleep and theta oscillations are characteristic of rapid eye movement sleep.
Staging the different stages of sleep is the basis for guiding sleep research work. Currently scientists define sleep in humans and animals primarily by recording the electric field activity of a large number of cortical neurons and muscle cells. Thus, scalp electrodes record electroencephalograms (EEG), electrodes placed on or near skeletal muscles record Electromyograms (EMGs), and electrodes placed on or near muscles responsible for horizontal eye movement record Electrooculograms (EOGs). The determination of the awake or sleep stage based on the results of electroencephalogram, electromyogram, and electrooculogram has become a golden standard for sleep stages. However, EEG/EMG is used to record concussions to distinguish between stages of sleep, and electrodes are embedded on the scalp and skeletal muscles, which can cause a degree of injury to the subject and are not beneficial to sleep study.
Stefano Bastianini et al report that the awake-sleep state of mice can be distinguished by non-invasive whole body volume scanning (WBP) of respiratory signals recorded by WBP signals and body movement signals. However, the accuracy of WBP detection is only 90% of the sleep staging gold standard EEG/EMG method.
US patent application US2018/049690A1 discloses a wearable sleep tracking device comprising a sensor configured to measure middle ear muscle changes, the sensor configured to measure tympanic membrane pressure differences as a measure of middle ear muscle activity. The document does not disclose distinguishing sleep stages based on middle ear muscle activity or in combination with other sleep stage data; the device is in-ear and/or around-ear, and a user can feel uncomfortable when wearing the device during sleeping; moreover, the middle ear muscle activity is not expressed as movement and/or swing of ears in appearance, the detection difficulty is high, the detection is needed to be performed through an in-ear pressure sensor, and the requirement on the sensing precision of the sensor is high.
Disclosure of Invention
In order to solve the problems in the related art, embodiments of the present disclosure provide a sleep stage detection method, device, and system.
In a first aspect, a sleep stage detection method is provided in an embodiment of the present disclosure.
Specifically, the sleep stage detection method includes:
acquiring a first signal, a second signal and a third signal of a subject, wherein the first signal is a signal related to body movement, the second signal is a signal related to respiratory movement, and the third signal is an ear movement signal;
and determining a sleep state according to the first signal, the second signal and the third signal.
Optionally, the determining the sleep state according to the first signal, the second signal and the third signal includes:
determining a center of gravity displacement of the subject from the first signal;
determining a respiratory rate and a respiratory amplitude from the second signal;
determining that the subject is awake or asleep according to the center of gravity displacement, respiratory frequency and respiratory amplitude;
determining rapid eye movement sleep or non-rapid eye movement sleep of the subject while sleeping according to the respiratory frequency, respiratory amplitude and the ear movement signal.
Optionally, the determining that the subject wakes or sleeps according to the gravity center displacement, the respiratory frequency and the respiratory amplitude comprises:
if the gravity center displacement is not satisfied and is smaller than a first threshold value and the duration is larger than a second threshold value, determining that the subject is awake;
if the gravity center displacement is smaller than a first threshold value and the duration time is larger than a second threshold value, further determining whether the respiratory frequency and the respiratory amplitude meet a third preset condition, and if not, determining that the subject sleeps;
and if the respiratory frequency and the respiratory amplitude meet a third preset condition, determining that the subject is awake.
Optionally, the determining whether the subject is sleeping in rapid eye movement sleep or non-rapid eye movement sleep in sleep according to the respiratory rate, respiratory amplitude and ear movement signal comprises:
if the respiratory frequency and the respiratory amplitude meet a first preset condition, determining that the subject is in rapid eye movement sleep in sleep;
if the respiratory frequency and the respiratory amplitude meet the second preset conditions, whether the subject moves in the ear is further determined according to the ear movement signals, if yes, the subject is determined to sleep in the rapid eye movement mode, otherwise, the subject is determined to sleep in the non-rapid eye movement mode.
In a second aspect, in an embodiment of the present disclosure, a sleep stage detection apparatus is provided.
Specifically, the sleep stage detection apparatus includes:
an acquisition module configured to acquire a first signal, a second signal and a third signal of a subject, the first signal being a signal related to body movement, the second signal being a signal related to respiratory movement, the third signal being an ear movement signal;
a determination module configured to determine a sleep state from the first signal, the second signal, and the third signal.
In a third aspect, a sleep stage detection system is provided in an embodiment of the present disclosure.
Specifically, the sleep stage detection system includes: a body movement monitoring system, a respiration monitoring system, an ear movement monitoring system, and a processor;
the body movement monitoring system comprises: the first signal acquisition device and the first communication module; wherein the first signal acquisition device is used for acquiring a first signal related to body movement of a subject; the first communication module is used for uploading the first signal to the processor;
the respiratory monitoring system includes: the second signal acquisition device and the second communication module; wherein the second signal acquisition device is used for acquiring a second signal related to respiratory motion of the subject; the second communication module is used for uploading the second signal to the processor;
the ear movement monitoring system comprises: the third signal acquisition device and the third communication module; wherein the third signal acquisition device is used for acquiring a third signal related to the movement of the ears of the subject; the third communication module is used for uploading the third signal to the processor;
the processor is configured to determine a sleep state based on the first signal, the second signal, and the third signal.
Optionally, the first signal is obtained by any one or several modes of the following:
video monitoring system, radar monitoring equipment, infrared monitoring equipment, accelerometer, displacement sensor.
Optionally, the second signal and the third signal are obtained by any one or several modes of the following:
a gyroscope sensor, a fluorescent light spot, a thin film magnetic sheet, an accelerometer and a pressure sensor.
Alternatively, the subject is a mouse, rabbit, dog, cow, deer, sheep, horse, cat or monkey.
The technical scheme provided by the embodiment of the disclosure can comprise the following beneficial effects:
the sleep stage detection method provided by the embodiment of the disclosure comprises the following steps: acquiring a first signal, a second signal and a third signal of a subject, wherein the first signal is a signal related to body movement, the second signal is a signal related to respiratory movement, and the third signal is an ear movement signal; and determining a sleep state according to the first signal, the second signal and the third signal. According to the technical scheme, the signals related to body movement, the signals related to respiratory movement and the signals related to ear movement of the subject are integrated to identify whether the subject is awake, in-sleep rapid eye movement sleep or in-sleep non-rapid eye movement sleep, so that the damage caused by the electrode implanted through operation is avoided, the identification can be completed noninvasively, and the study of sleep is facilitated. By adopting the sensor to detect the ear movement signal, the sensor is different from the detection of the middle ear muscle movement in the past, avoids uncomfortable feeling caused by the fact that the sensor is in the ear, does not need a high-precision sensor, reduces the detection cost, and is easier to acquire compared with the detection of the middle ear muscle movement signal. The sleep stage detection method and the device have more universality and popularization value and more accurate detection.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
Other features, objects and advantages of the present disclosure will become more apparent from the following detailed description of non-limiting embodiments, taken in conjunction with the accompanying drawings. In the drawings:
FIG. 1 illustrates a flow chart of a sleep stage detection method according to an embodiment of the present disclosure;
FIG. 2 illustrates a flowchart for determining a sleep state from a first signal, a second signal, and a third signal according to an embodiment of the present disclosure;
FIG. 3 shows a schematic waveform of a second signal of the mouse;
fig. 4 shows a block diagram of a sleep stage detection apparatus according to an embodiment of the present disclosure;
FIG. 5 illustrates a block diagram of a sleep stage detection system according to an embodiment of the present disclosure;
FIG. 6 illustrates a flow chart of a sleep stage detection method according to an embodiment of the present disclosure;
FIG. 7 illustrates a flow chart of a sleep stage detection method according to an embodiment of the present disclosure;
FIG. 8 shows a schematic diagram of spectral analysis of sleep stages of mice using EEG/EMG;
FIG. 9 shows a schematic diagram of the statistical ratio of mouse ear movement time to REM sleep time in FIG. 8;
fig. 10 shows a comparison of spectral analysis of NREM sleep, REM sleep and corresponding oto time windows in the mice of fig. 8.
Detailed Description
Hereinafter, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily implement them. In addition, for the sake of clarity, portions irrelevant to description of the exemplary embodiments are omitted in the drawings.
In this disclosure, it should be understood that terms such as "comprises" or "comprising," etc., are intended to indicate the presence of features, numbers, steps, acts, components, portions, or combinations thereof disclosed in this specification, and are not intended to exclude the possibility that one or more other features, numbers, steps, acts, components, portions, or combinations thereof are present or added.
In addition, it should be noted that, without conflict, the embodiments of the present disclosure and features of the embodiments may be combined with each other. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
The present disclosure is provided to at least partially solve the problems in the prior art discovered by the inventors.
Fig. 1 illustrates a flow chart of a sleep stage detection method according to an embodiment of the present disclosure.
As shown in fig. 1, the sleep stage detection method includes steps S110 to S120:
in step S110, a first signal, a second signal and a third signal of the subject are acquired, the first signal being a signal related to body movement, the second signal being a signal related to respiratory movement, the third signal being an ear movement signal;
in step S120, a sleep state is determined according to the first signal, the second signal, and the third signal.
When distinguishing the awake-sleep state of the mouse based on the WBP, the detection accuracy for the rapid eye movement sleep period in the sleep stage, the non-rapid eye movement sleep period in the sleep is not high. The inventor found that a human or animal having an auricular muscle, such as a mouse, a rabbit, a dog, a rat, a cow, a deer, a sheep, a horse, a cat, a monkey, etc., had a phenomenon of ear swing during sleep, and further determined that during the rapid eye movement sleep, the left and right movement of the eyeball can be seen in the closed eyelid, and the condition of the ear swing occurs because the paroxysmal twitch of the extraocular muscle brings the muscle around the ear into movement, so that the ear swing judgment is combined with the respiratory rate and the respiratory amplitude to further distinguish the rapid eye movement sleep period and the non-rapid eye movement sleep period in the sleep stage, so as to improve the detection accuracy of the sleep stage. For example, as shown in fig. 8 to 10, the gray time window in fig. 8 is the ear movement time of the mouse observed through the video, most of the ear movement time points fall in the stage of rapid eye movement sleep (REM sleep or REM), the left side column in fig. 9 is the ratio of the ear movement time in the conventional EEG/EMG record judgment REM sleep time in fig. 8, the index indicates the reliability of the REM sleep evaluated by the ear movement, the right side column is the ratio of the REM sleep time judged through the EEG/EMG analysis in all the ear movement time in fig. 8, the index is used for judging the specificity of the REM sleep through the ear movement, the overlapping ratio of the ear movement time and the REM of the mouse is high, the ear movement can well indicate the rapid eye movement sleep, and fig. 10 is the spectral analysis in the non-rapid eye movement sleep (NREM sleep or NREMs), the Rapid Eye Movement Sleep (REMs) and the ear movement time window respectively, and the spectral analysis in the ear movement time window is similar to the rapid eye movement sleep.
The sleep stage detection method provided by the embodiment of the disclosure can obtain the body motion, the breathing motion and the ear swing motion of the subject through noninvasive sensors, such as a video sensor, a gyroscope sensor, and/or an amplitude sensor, without making invasive contact with the subject, such as EEG (electro-magnetic resonance imaging), EMG (electro-magnetic resonance imaging) signals, and then transmitting related signals to a processor through a communication module for data processing, wherein the detection of whether the subject is awake, in-sleep rapid eye movement sleep or in-sleep non-rapid eye movement sleep can be performed.
According to embodiments of the present disclosure, the subject is a human or animal having a motor ear muscle, such as a mouse, rabbit, dog, rat, cow, deer, sheep, horse, cat, monkey, or the like.
According to the embodiment of the disclosure, the ear comprises three parts of an outer ear, a middle ear and an inner ear, the outer ear comprises an auricle and an external auditory canal, a large hole called an external auricle door is arranged on the outer side of the auricle and is connected with the external auditory canal, the external auditory canal is a bending pipeline from the external auricle door to a tympanic membrane, the tympanic membrane is a semitransparent film and is in a shallow funnel shape, a concave surface is outwards, and the external auditory canal and the middle ear are bounded by the tympanic membrane. Specifically, the ear swing of the present disclosure is also referred to as ear shake, ear rotation. In particular, the auricle swings and/or direction and/or shape changes, such as auricle swings, auricle direction changes, auricle shape changes, auricle muscle movements, etc. Movements of the external ear muscles include, but are not limited to, movements of the otous muscles (e.g., the superior auricular muscles, the anterior auricular muscles, and/or the posterior auricular muscles), to which the present disclosure is not limited.
According to embodiments of the present disclosure, the ear swing is determined by one or more of the following parameters, including but not limited to swing amplitude of the outer ear, swing frequency, muscle movement, outer ear direction, outer ear profile shape. In monitoring of ear swing, either monaural monitoring or binaural monitoring may be performed, which is not limited by the present disclosure.
According to an embodiment of the disclosure, the first signal is obtained by any one or several of the following ways: video monitoring system, radar monitoring equipment, infrared monitoring equipment, accelerometer, displacement sensor.
According to an embodiment of the disclosure, the second signal and the third signal are obtained by any one or several modes of: a gyroscope sensor, a fluorescent light spot, a thin film magnetic sheet, an accelerometer and a pressure sensor.
Fig. 2 illustrates a flowchart of determining a sleep state from a first signal, a second signal, and a third signal according to an embodiment of the present disclosure.
As shown in fig. 2, the step S120 of determining the sleep state according to the first signal, the second signal and the third signal includes steps S210-S240:
in step S210, determining a center of gravity displacement of the subject from the first signal;
in step S220, determining a respiratory rate, a respiratory amplitude from the second signal;
in step S230, determining that the subject is awake or asleep according to the center of gravity displacement, respiratory rate, respiratory amplitude;
in step S240, it is determined whether the subject is in rapid eye movement sleep during sleep or in non-rapid eye movement sleep during sleep according to the respiratory rate, respiratory amplitude, and ear movement signal.
According to an embodiment of the present disclosure, the determining that the subject is awake or asleep according to the center of gravity displacement, respiratory rate, respiratory amplitude of step S230 comprises:
if the gravity center displacement is not satisfied and is smaller than a first threshold value and the duration is larger than a second threshold value, determining that the subject is awake;
if the gravity center displacement is smaller than a first threshold value and the duration time is larger than a second threshold value, further determining whether the respiratory frequency and the respiratory amplitude meet a third preset condition, and if not, determining that the subject sleeps;
and if the respiratory frequency and the respiratory amplitude meet a third preset condition, determining that the subject is awake.
Specifically, the gravity center displacement x of the subject is larger than or equal to x 0 And the rest time t is less than or equal to t 0 Indicating that the subject is awake; wherein x is 0 A first threshold value, which represents the upper limit of the gravity center displacement of the subject, t 0 Is a second threshold value, representingUpper time limit of subject rest, x 0 T 0 Can be flexibly adjusted, and the disclosure is not limited to the method.
As shown in fig. 3, the third preset condition may be: the second signal baseline is unstable (shown in the W segment (Wake segment) curve) and may be other conditions, which are not limited by the present disclosure.
If the gravity center displacement x of the subject is less than x 0 And rest time t > t 0 Further determining whether the second signal baseline is stable, if not, determining that the subject is asleep;
if the second signal baseline is stable, determining that the subject is sleeping.
According to an embodiment of the present disclosure, determining whether the subject is asleep or not asleep based on the respiratory rate, respiratory amplitude, and ear motion signal in step S240 comprises:
if the respiratory frequency and the respiratory amplitude meet a first preset condition, determining that the subject is in rapid eye movement sleep in sleep;
if the respiratory frequency and the respiratory amplitude meet the second preset conditions, whether the subject moves in the ear is further determined according to the ear movement signals, if yes, the subject is determined to sleep in the rapid eye movement mode, otherwise, the subject is determined to sleep in the non-rapid eye movement mode.
Fig. 3 shows a waveform schematic of a second signal of the mouse, from which it can be distinguished whether the mouse is in Rapid Eye Movement Sleep (REMS) or non-rapid eye movement sleep (NREMS).
Specifically, the first preset condition may be: 1) Irregular breathing frequency and breathing amplitude of the subject; 2) The baseline of the second signal stabilizes.
The second preset condition may be: 1) The respiration frequency and the respiration amplitude of the subject are stable and regular; 2) The baseline of the second signal stabilizes.
The first preset condition and the second preset condition may also be other judging conditions, for example, whether the respiratory rate and the respiratory amplitude of the subject change within a certain range, which is not limited by the disclosure.
By comparing with EEG and EMG signals, the accuracy of recognizing that the subject is in NREMS only according to the respiratory frequency and the respiratory amplitude is not high, and a part of REMS is easily misjudged as NREMS. In this disclosed manner, the NREMS phase in fig. 3 is further refined and distinguished in combination with the ear motion signal, and is further divided into REMS and NREMS.
Specifically, when the subject is determined to meet the second preset condition, if the subject is in ear motion, determining that the subject is in REMS, otherwise, determining that the subject is in NREMS.
Fig. 4 shows a block diagram of a sleep stage detection apparatus according to an embodiment of the present disclosure.
As shown in fig. 4, the sleep stage detection apparatus 200 includes: an acquisition module 210 and a determination module 220.
The acquisition module 210 is configured to acquire a first signal, a second signal and a third signal of the subject, the first signal being a signal related to body movement, the second signal being a signal related to respiratory movement, the third signal being an ear movement signal;
the determination module 220 is configured to determine a sleep state from the first signal, the second signal, and the third signal.
According to an embodiment of the present disclosure, the determining module 220 is configured to determine a portion of the sleep stage according to the first signal, the second signal, and the third signal, and is configured to:
determining a center of gravity displacement of the subject from the first signal;
determining a respiratory rate and a respiratory amplitude from the second signal;
determining that the subject is awake or asleep according to the center of gravity displacement, respiratory frequency and respiratory amplitude;
determining rapid eye movement sleep or non-rapid eye movement sleep of the subject while sleeping according to the respiratory frequency, respiratory amplitude and the ear movement signal.
According to an embodiment of the present disclosure, the determining of the wakefulness or sleep of the subject according to the center of gravity displacement, the breathing frequency, the breathing amplitude comprises:
if the gravity center displacement is not satisfied and is smaller than a first threshold value and the duration is larger than a second threshold value, determining that the subject is awake;
if the gravity center displacement is smaller than a first threshold value and the duration time is larger than a second threshold value, further determining whether the respiratory frequency and the respiratory amplitude meet a third preset condition, and if not, determining that the subject sleeps;
and if the respiratory frequency and the respiratory amplitude meet a third preset condition, determining that the subject is awake.
According to an embodiment of the present disclosure, the determining whether the subject is asleep or asleep non-rapid eye movement sleep based on the respiratory frequency, respiratory amplitude, and ear movement signal comprises:
if the respiratory frequency and the respiratory amplitude meet a first preset condition, determining that the subject is in rapid eye movement sleep in sleep;
if the respiratory frequency and the respiratory amplitude meet the second preset conditions, whether the subject moves in the ear is further determined according to the ear movement signals, if yes, the subject is determined to sleep in the rapid eye movement mode, otherwise, the subject is determined to sleep in the non-rapid eye movement mode.
According to an embodiment of the disclosure, the first signal is obtained by any one or several of the following ways:
video monitoring system, radar monitoring equipment, infrared monitoring equipment, accelerometer, displacement sensor.
According to an embodiment of the disclosure, the second signal and the third signal are obtained by any one or several modes of:
a gyroscope sensor, a fluorescent light spot, a thin film magnetic sheet, an accelerometer and a pressure sensor.
According to embodiments of the present disclosure, the subject is a mouse, rabbit, dog, rat, cow, deer, sheep, horse, cat, monkey, or the like.
Fig. 5 shows a block diagram of a sleep stage detection system according to an embodiment of the present disclosure.
As shown in fig. 5, the sleep stage detection system 300 includes: body movement monitoring system 310, respiration monitoring system 320, ear movement monitoring system 330, and processor 340.
The body movement monitoring system 310 includes: the first signal acquisition device and the first communication module; wherein the first signal acquisition device is used for acquiring a first signal related to body movement of a subject; the first communication module is used for uploading the first signal to the processor;
the respiration monitoring system 320 includes: the second signal acquisition device and the second communication module; wherein the second signal acquisition device is used for acquiring a second signal related to respiratory motion of the subject; the second communication module is configured to upload the second signal to the processor 340;
the ear movement monitoring system 330 comprises: the third signal acquisition device and the third communication module; wherein the third signal acquisition device is used for acquiring a third signal related to the movement of the ears of the subject; the third communication module is configured to upload the third signal to the processor 340;
the processor 340 is configured to determine a sleep state according to the first signal, the second signal, and the third signal.
In the embodiment of the disclosure, the sleep stage detection system 300 determines the sleep state according to the first signal, the second signal and the third signal, see fig. 6 and 7. The specific embodiments may refer to the above embodiments, and are not described herein.
According to embodiments of the present disclosure, the subject is a human or animal having a motor ear muscle, such as a mouse, rabbit, dog, rat, cow, deer, sheep, horse, cat, monkey, or the like. In the embodiments of the present disclosure, a mouse is described as an example.
According to the embodiment of the disclosure, a camera is installed above a mouse in a behavior box and used for collecting and storing video of the mouse to obtain video images.
According to the embodiment of the disclosure, gyroscope sensors are attached to the left side, the right side and the diaphragm of the mouse thorax, the movement condition of the mouse thorax, such as the fluctuation frequency and the amplitude of the thorax, is recorded, and the breathing rhythm of the mouse is tracked and recorded.
According to the embodiment of the disclosure, the gyroscope sensor is attached to the two ears of the mouse and transmitted to the processor through the Bluetooth connection, and the motion state of the two ears of the mouse is detected.
According to the embodiment of the disclosure, the gravity center displacement and the duration time of the mouse can be obtained from the video image; from the ear movement signal it can be determined whether the mouse ear swings.
According to the embodiment of the disclosure, the gyroscope sensor can also acquire respiratory rate, respiratory amplitude and ear motion signals in a mode of replacing fluorescent light spots, thin film magnetic sheets and accelerometers.
According to an embodiment of the disclosure, the first signal is obtained by any one or several of the following ways:
video monitoring system, radar monitoring equipment, infrared monitoring equipment, accelerometer, displacement sensor.
According to an embodiment of the disclosure, the second signal and the third signal are obtained by any one or several modes of:
a gyroscope sensor, a fluorescent light spot, a thin film magnetic sheet, an accelerometer and a pressure sensor.
According to the sleep stage detection system provided by the embodiment of the disclosure, the signals related to body movement, the signals related to respiratory movement and the ear movement signals of the subject are integrated to identify whether the subject is awake, in-sleep rapid eye movement sleep or in-sleep non-rapid eye movement sleep, so that the damage caused by the electrode implanted through an operation is avoided, the identification can be completed noninvasively, and the study of sleep is facilitated. By adopting the sensor to detect the ear movement signal, the sensor is different from the detection of the middle ear muscle movement in the past, avoids uncomfortable feeling caused by the fact that the sensor is in the ear, does not need a high-precision sensor, reduces the detection cost, and is easier to acquire compared with the detection of the middle ear muscle movement signal. The sleep stage detection method and the device have more universality and popularization value and more accurate detection.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the invention referred to in this disclosure is not limited to the specific combination of features described above, but encompasses other embodiments in which any combination of features described above or their equivalents is contemplated without departing from the inventive concepts described. Such as those described above, are mutually substituted with the technical features having similar functions disclosed in the present disclosure (but not limited thereto).

Claims (9)

1. A sleep stage detection method, comprising:
acquiring a first signal, a second signal and a third signal of a subject, wherein the first signal is a signal related to body movement, the second signal is a signal related to respiratory movement, and the third signal is an ear movement signal;
and determining a sleep state according to the first signal, the second signal and the third signal.
2. The method of claim 1, wherein the determining a sleep state from the first signal, the second signal, and the third signal comprises:
determining a center of gravity displacement of the subject from the first signal;
determining a respiratory rate and a respiratory amplitude from the second signal;
determining that the subject is awake or asleep according to the center of gravity displacement, respiratory frequency and respiratory amplitude;
determining rapid eye movement sleep or non-rapid eye movement sleep of the subject while sleeping according to the respiratory frequency, respiratory amplitude and the ear movement signal.
3. The method of claim 2, wherein the determining whether the subject is awake or asleep based on the center of gravity displacement, respiratory rate, respiratory amplitude comprises:
if the gravity center displacement is not satisfied and is smaller than a first threshold value and the duration is larger than a second threshold value, determining that the subject is awake;
if the gravity center displacement is smaller than a first threshold value and the duration time is larger than a second threshold value, further determining whether the respiratory frequency and the respiratory amplitude meet a third preset condition, and if not, determining that the subject sleeps;
and if the respiratory frequency and the respiratory amplitude meet a third preset condition, determining that the subject is awake.
4. The method of claim 2, wherein determining whether the subject is asleep with rapid eye movement or is asleep with non-rapid eye movement based on the respiratory rate, respiratory amplitude, and the ear movement signal comprises:
if the respiratory frequency and the respiratory amplitude meet a first preset condition, determining that the subject is in rapid eye movement sleep in sleep;
if the respiratory frequency and the respiratory amplitude meet the second preset conditions, whether the subject moves in the ear is further determined according to the ear movement signals, if yes, the subject is determined to sleep in the rapid eye movement mode, otherwise, the subject is determined to sleep in the non-rapid eye movement mode.
5. A sleep stage detection apparatus, comprising:
an acquisition module configured to acquire a first signal, a second signal and a third signal of a subject, the first signal being a signal related to body movement, the second signal being a signal related to respiratory movement, the third signal being an ear movement signal;
a determination module configured to determine a sleep state from the first signal, the second signal, and the third signal.
6. A sleep stage detection system, comprising: a body movement monitoring system, a respiration monitoring system, an ear movement monitoring system, and a processor;
the body movement monitoring system comprises: the first signal acquisition device and the first communication module; wherein the first signal acquisition device is used for acquiring a first signal related to body movement of a subject; the first communication module is used for uploading the first signal to the processor;
the respiratory monitoring system includes: the second signal acquisition device and the second communication module; wherein the second signal acquisition device is used for acquiring a second signal related to respiratory motion of the subject; the second communication module is used for uploading the second signal to the processor;
the ear movement monitoring system comprises: the third signal acquisition device and the third communication module; wherein the third signal acquisition device is used for acquiring a third signal related to the movement of the ears of the subject; the third communication module is used for uploading the third signal to the processor;
the processor is configured to determine a sleep state based on the first signal, the second signal, and the third signal.
7. The method according to any one of claims 1-4, or the apparatus according to claim 5, or the detection system according to claim 6, wherein the first signal is obtained by any one or more of the following:
video monitoring system, radar monitoring equipment, infrared monitoring equipment, accelerometer, displacement sensor.
8. The method according to any one of claims 1-4, or the apparatus according to claim 5, or the detection system according to claim 6, wherein the second signal and the third signal are obtained by any one or more of the following methods:
a gyroscope sensor, a fluorescent light spot, a thin film magnetic sheet, an accelerometer and a pressure sensor.
9. The method of any one of claims 1-4, or the device of claim 5, or the detection system of claim 6, wherein the subject is a mouse, rabbit, dog, NL212532G1I P2021-2-0022.Cn cow, deer, sheep, horse, cat, or monkey.
CN202310394004.1A 2023-04-12 2023-04-12 Sleep stage detection method, device and system Pending CN116350187A (en)

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CN202310394004.1A CN116350187A (en) 2023-04-12 2023-04-12 Sleep stage detection method, device and system

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