Snore stopping method and snore stopping device

Abstract

The invention provides a snore stopping method and device, and the method comprises the steps: obtaining an original vibration signal of the neck of a user, and carrying out the preprocessing of the original vibration signal, and obtaining a target vibration signal; analyzing the breathing state of the user according to the target vibration signal to obtain a breathing state analysis result; judging whether intervention conditions are met or not according to the respiration state analysis result; when the intervention condition is met, the breathing state of the user is intervened according to the breathing state analysis result and a preset self-adaptive intervention rule. The breathing behavior related to the snoring behavior is detected based on the vibration signal, flexible intervention on the breathing state of the user is achieved in combination with the detection result and the self-adaptive intervention rule, sound collection is not needed, interference of snore of other users can be avoided, user privacy is not involved, meanwhile, smooth intervention experience can be provided for the user, and the user experience is improved. Therefore, the method can be widely applied to the technical field of smart home.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of smart home, and particularly relates to a snoring stopping method and a snoring stopping device. BACKGROUND

[0002] At present, with the improvement of the quality of life, people begin to pay more attention to their own health status. Among them, many people have snoring behavior during sleep. Snoring behavior refers to the breathing sound produced during sleep, which is usually caused by the vibration sound of air passing through a narrow respiratory tract. Snoring behavior is normal to a certain extent, but if it is severe or continuous, it may have some adverse effects on the health of individuals and others. Snoring sound will affect the sleep quality of the snorer himself, leading to fatigue, daytime drowsiness and other problems, and also interfere with the sleep of others, and even more, may cause respiratory pause and hypoxia, further increasing the risk of cardiovascular disease of the patient.

[0003] In the related field, the existing snoring behavior detection scheme is mostly to capture snoring sound signals through an audio sensor to identify whether a user snores, and then execute snoring intervention. When there are non-single users in the same space, such method cannot identify the source of snoring sound, that is, which user, so as to make unified snoring intervention control, which may affect the user who does not snore, and thus reduce the sleep quality of the user. Moreover, the process of capturing the snoring sound of the user through the sound may involve the sensitive information of the user, which may leak the privacy of the user, and is easy to cause the resistance of the user.

[0004] In addition, the existing snoring behavior suppression scheme is mostly to intervene the user according to the pre-set gear or mode through a snoring stopping device (such as an air bag type snoring pillow), and the intervention intensity is fixed and cannot be adjusted in real time. When the intervention intensity and the actual breathing condition of the user do not match, the sleep quality of the user may be affected.

[0005] Therefore, the problems of the prior art still need to be solved and optimized. SUMMARY

[0006] The purpose of the present application is to at least solve one of the technical problems existing in the prior art.

[0007] To this end, one purpose of an embodiment of the present application is to provide a snoring stopping method, which can prevent misjudgment caused by the interference of snoring sound of other users, does not need to collect the sound emitted by the user, does not involve the privacy of the user, and can adjust the intervention intensity in real time according to the breathing condition of the user, which helps to ensure the sleep quality of the user.

[0008] The first technical solution adopted by the present application is:

[0009] A snoring stopping method, comprising:

[0010] Obtaining an original vibration signal of a user's neck, preprocessing the original vibration signal to obtain a target vibration signal;

[0011] Analyzing a breathing state of the user according to the target vibration signal to obtain a breathing state analysis result;

[0012] Determining whether an intervention condition is met according to the breathing state analysis result;

[0013] When the intervention condition is met, intervening in the breathing state of the user according to the breathing state analysis result and a preset adaptive intervention rule;

[0014] The target vibration signal includes a high-frequency vibration signal related to snoring sound and / or a breathing vibration signal, and the breathing state analysis result includes a snoring sound state analysis result and / or a sleep apnea hypopnea state analysis result.

[0015] Further, the obtaining of the original vibration signal of the user's neck and the preprocessing of the original vibration signal to obtain the target vibration signal includes:

[0016] Obtaining the original vibration signal of the user's neck through a flexible piezoelectric sensor array;

[0017] Filtering and denoising the original vibration signal to separate and obtain the target vibration signal.

[0018] Further, the analyzing of the breathing state of the user according to the target vibration signal to obtain the breathing state analysis result includes:

[0019] Performing time domain analysis and / or frequency domain analysis on the high-frequency vibration signal related to snoring sound to obtain the snoring sound state analysis result;

[0020] Analyzing the breathing vibration signal to obtain the sleep apnea hypopnea state analysis result.

[0021] Further, the determining of whether the intervention condition is met according to the breathing state analysis result includes:

[0022] Determining a breathing abnormality severity index according to the breathing state analysis result, and determining whether a breathing abnormality related event exists;

[0023] Determining whether the breathing abnormality severity index exceeds a preset first threshold;

[0024] When the breathing abnormality severity index exceeds the first threshold or the breathing abnormality related event exists, determining that the intervention condition is met;

[0025] The respiratory abnormality severity index comprises a snoring severity index and / or a sleep apnea hypopnea severity index.

[0026] Further, the intervention on the respiratory state of the user according to the respiratory state analysis result and the preset adaptive intervention rule comprises:

[0027] Controlling the intervention gear according to the respiratory state analysis result and the preset adaptive intervention rule;

[0028] Controlling the intervention module to intervene in the respiratory state of the user according to the intervention gear.

[0029] Further, the controlling the intervention gear according to the respiratory state analysis result and the preset adaptive intervention rule comprises:

[0030] Setting the intervention gear to a preset initial gear;

[0031] Judging whether the intervention gear up-condition and the intervention gear down-condition are met according to the respiratory state analysis result;

[0032] When the intervention gear up-condition is met and the intervention gear is not at a preset highest gear, increasing the gear of the intervention gear;

[0033] When the intervention gear down-condition is met and the intervention gear is not at a lowest gear, decreasing the gear of the intervention gear;

[0034] When the intervention gear down-condition is met and the intervention gear is at the lowest gear, setting the intervention gear to a stop intervention gear.

[0035] Further, the intervention module is a stimulating electrode array, and the controlling the intervention module to intervene in the respiratory state of the user according to the intervention gear comprises:

[0036] Stimulating the neck of the user by the stimulating electrode array through a micro-current;

[0037] Controlling the stimulating intensity of the stimulating electrode array according to the intervention gear;

[0038] The controlling the stimulating intensity of the stimulating electrode array comprises controlling at least one of the current intensity, the discharge electrode density and the discharge electrode quantity of the stimulating electrode array.

[0039] Further, the snore stopping method further comprises:

[0040] Obtaining the electromyography signal of the muscle group of the neck of the user through an electromyography electrode array;

[0041] determining a relaxation degree of the neck muscle group of the user according to the myoelectric signal;

[0042] adjusting an intervention region for intervention on the breathing state of the user according to the relaxation degree.

[0043] Further, the target vibration signal further comprises a heart beat vibration signal, the breathing state analysis result further comprises a sleep state analysis result and a sleep stage analysis result, and the snoring stopping method further comprises:

[0044] analyzing the breathing vibration signal and the heart beat vibration signal to obtain the sleep state analysis result and the sleep stage analysis result;

[0045] analyzing the breathing vibration signal and the sleep state analysis result to obtain the sleep apnea hypopnea state analysis result;

[0046] determining whether the user is in an awakening state according to the sleep state analysis result;

[0047] when the user is in the awakening state, determining that the intervention condition is not satisfied.

[0048] determining whether the user belongs to a deep sleep state according to the sleep stage analysis result;

[0049] when the user is in the deep sleep state, limiting an intervention intensity for intervention on the breathing state of the user.

[0050] The second technical solution adopted by the present application is:

[0051] A snoring stopping device comprises:

[0052] at least one processor;

[0053] at least one memory for storing at least one program;

[0054] when the at least one program is executed by the at least one processor, the at least one processor implements the aforementioned snoring stopping method.

[0055] The present application has the following beneficial effects:

[0056] The embodiment of the present application can detect the snoring related respiratory abnormal event by collecting the neck vibration signal of the user, without collecting the sound signal in the environment, can prevent the interference of the snoring of other users from causing the false execution of the intervention operation, and does not need to collect the sound emitted by the user, does not involve the privacy of the user, and is helpful to ensure the sleep quality and use experience of the user; by analyzing the respiratory state of the user according to the target vibration signal, the specific respiratory condition of the user can be obtained, which lays a foundation for judging whether the intervention operation needs to be executed and subsequent fine and flexible intervention; by flexibly regulating the intervention intensity according to the preset adaptive intervention rule, it is ensured that the current intervention intensity is adapted to the respiratory abnormal condition of the user, and the sleep quality and use experience of the user are further improved. BRIEF DESCRIPTION OF DRAWINGS

[0057] Figure 1 A step schematic diagram of a snoring stopping method provided by the embodiment of the present application;

[0058] Figure 2 A schematic diagram of a flexible fabric and a pillow body provided by the embodiment of the present application;

[0059] Figure 3 A distribution schematic diagram of a piezoelectric sensor array and a stimulating electrode array in a flexible fabric provided by the embodiment of the present application;

[0060] Figure 4 A waveform schematic diagram of an original vibration signal, a respiratory vibration signal, a heart beat vibration signal and a high frequency vibration signal related to snoring sound provided by the embodiment of the present application;

[0061] Figure 5 A schematic diagram of a respiratory waveform and a heart rate waveform provided by the embodiment of the present application;

[0062] Figure 6 A flowchart of judging whether the respiratory state of the user needs to be intervened provided by the embodiment of the present application;

[0063] Figure 7 A flowchart of an adaptive intervention rule provided by the embodiment of the present application;

[0064] Figure 8 A distribution schematic diagram of a piezoelectric sensor array, a stimulating electrode array and a myoelectric electrode array in a flexible fabric provided by the embodiment of the present application;

[0065] Figure 9 An implementation scene schematic diagram of a snoring stopping method provided by the embodiment of the present application;

[0066] Figure 10 A schematic diagram of a snoring stopping device provided by the embodiment of the present application;

[0067] The reference signs:

[0068] 1: flexible fabric; 2: pillow; 3: flexible piezoelectric sensor array; 4: stimulating electrode array; 5: myoelectric electrode array. DETAILED DESCRIPTION

[0069] In order to make the purposes, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific examples described herein are intended to explain, not limit, the present application. When the following description refers to the accompanying drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following example embodiments do not represent all implementations consistent with embodiments of the present application. They are merely examples of apparatuses and methods consistent with some aspects of the embodiments of the present application as detailed in the appended claims. For the step numbers in the following examples, they are only set for the convenience of description and explanation, and the order between the steps is not limited in any way, and the execution order of each step in the examples can be adaptively adjusted according to the understanding of those skilled in the art.

[0070] It can be understood that the terms "first", "second", and the like used in the present application can be used herein to describe various concepts, but unless specifically stated, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another. For example, without departing from the scope of the embodiments of the present application, the first information can also be referred to as the second information, and similarly, the second information can also be referred to as the first information. Depending on the context, the word "if" as used herein can be interpreted as "when" or "upon" or "in response to determining".

[0071] The terms "at least one", "multiple", "each", "any", and the like used in the present application include one, two or more than two, multiple includes two or more than two, each refers to each of the corresponding multiple, and any refers to any one of the multiple.

[0072] Before the embodiments of the present application are described in detail, the related background art involved in the embodiments of the present application is first described as follows:

[0073] Snoring is not only a common phenomenon during sleep, but also a predictor of various health risks. In China, about 176 million people aged 30-69 have snoring with apnea, and severe cases are diagnosed as obstructive sleep apnea hypopnea syndrome. Sleep apnea causes hypoxia and carbon dioxide retention, leading to blood pressure fluctuations and increased cardiac load, and can induce hypertension, coronary heart disease, and even myocardial infarction in the long term. Hypoxemia can damage vascular endothelial function and increase the risk of atherosclerosis, significantly increasing the probability of stroke. Repeated apnea forces the brain to frequently wake up to restore breathing, leading to sleep fragmentation, daytime sleepiness, fatigue, and reduced work efficiency. Long-term hypoxia interferes with brain cell metabolism, causing memory loss, attention deficit, and reaction delay, and some patients may experience psychological problems such as depression and anxiety. Blood glucose fluctuations caused by apnea can reduce insulin sensitivity, increase the risk of abnormal glucose metabolism and diabetes. Male patients are prone to erectile dysfunction, which may be related to endocrine disorders and vascular lesions. Long-term airway narrowing can induce respiratory tract infections such as chronic pharyngitis and bronchitis. Severe apnea can cause acute hypoxia, which may induce nocturnal cardiac sudden death. Snoring can disturb the sleep of partners, leading to family conflicts and affecting personal image in social situations.

[0074] Existing technical solutions basically capture snoring signals through sound to identify whether the user is snoring, and then perform snoring intervention control. However, when there are non-single users in the same space, the source of the sound captured signal may be the partner, and at this time it is not possible to determine whether it is the user's snoring or the partner's snoring to make uniform snoring intervention control, which may affect the user who does not snore, thereby reducing the user's sleep quality. Moreover, the information captured through sound may contain private content, which the user may resist.

[0075] At the same time, existing snoring behavior suppression solutions are mostly through snoring devices (such as airbag snoring pillows) to intervene with the user according to pre-set gears or modes, with fixed intervention intensity, which cannot be adjusted in real time. When the intervention intensity and the actual breathing condition of the user do not match, it may affect the user's sleep quality.

[0076] Therefore, the application provides a snoring stopping method and a snoring stopping device. The technical scheme of the application comprises: obtaining an original vibration signal of a user's neck, preprocessing the original vibration signal to obtain a target vibration signal; analyzing a breathing state of the user according to the target vibration signal to obtain a breathing state analysis result; determining whether an intervention condition is met according to the breathing state analysis result; and when the intervention condition is met, intervening in the breathing state of the user according to the breathing state analysis result and a preset adaptive intervention rule. The snoring behavior detection scheme of the application does not need to collect sound, can prevent misjudgment caused by interference of snoring sound of other users, does not need to collect sound emitted by the user, does not involve user privacy, and can flexibly regulate and control intervention intensity through the adaptive intervention rule, so that the user obtains smooth and smooth intervention experience, and the sleep quality of the user can be ensured.

[0077] Figure 1 A step schematic diagram of a snoring stopping method provided by the embodiment of the application is provided with reference to Figure 1 The embodiment of the application provides a snoring stopping method, which comprises:

[0078] S110, obtaining an original vibration signal of a user's neck, preprocessing the original vibration signal to obtain a target vibration signal;

[0079] Specifically, in the embodiment, the original vibration signal of the user's neck is used as basic information for analyzing the breathing state of the user. The vibration signal can be detected by contacting the user's neck through an electrode patch, a flexible fabric embedded with a piezoelectric sensor or the like. The vibration signal contains a breathing vibration signal, a heart beat vibration signal, a snoring vibration signal, other body vibration signals and interference vibration signals. Through a reasonable signal processing mode, invalid interference vibration signals can be removed, and effective target vibration signals, i.e., high-frequency vibration signals and breathing vibration signals related to snoring sound, are separated and obtained as a basis for analyzing the breathing state of the user in the subsequent steps.

[0080] In some alternative embodiments, obtaining an original vibration signal of a user's neck, preprocessing the original vibration signal to obtain a target vibration signal comprises:

[0081] S111, obtaining the original vibration signal of the user's neck through a flexible piezoelectric sensor array;

[0082] S112, filtering and denoising the original vibration signal to separate and obtain the target vibration signal.

[0083] Specifically, in the embodiment, the original vibration signal is obtained through a flexible piezoelectric sensor array.

[0084] Exemplarily, the application is described with reference to Figure 2The flexible piezoelectric sensor array can be embedded in a flexible fabric and covered on a pillow where the user sleeps to obtain the original vibration signal of the user's neck. The flexible fabric can be integrated with the pillow, can be a pillowcase type, can be a pasteable type, and can be disposable or reusable. The pillow can be a traditional pillow or a pillow core, or a sofa armrest, a cushion, a mattress, or other support bodies that support the user to sleep. The user can lay the flexible fabric containing the flexible piezoelectric sensor array on the mattress, sofa armrest, cushion, etc., and then sleep on it. The carrier of the flexible piezoelectric sensor array and the form of the pillow are not limited in the present application.

[0085] Referring to Figure 3 When the flexible fabric is used as the carrier of the flexible piezoelectric sensor array, the piezoelectric sensor array can be distributed in a matrix, in a strip, staggered, or in a certain pattern, which is not limited in the present application.

[0086] By reasonable filtering and denoising of the vibration signal, invalid interference vibration signals can be removed from the vibration signal, and high-frequency vibration signals related to snoring and breathing vibration signals can be separated.

[0087] Referring to Figure 4 In Figure 4 , the four waveforms from top to bottom are the original vibration waveform signal collected by the piezoelectric sensor array, the breathing vibration waveform signal, the cardiac pulsation waveform signal (Ballistocardiogram, BCG), and the snoring waveform signal (high-frequency vibration signal related to snoring) separated and extracted.

[0088] S120, analyzing the breathing state of the user according to the target vibration signal to obtain a breathing state analysis result;

[0089] Specifically, in the present embodiment, the target vibration signal includes high-frequency vibration signals related to snoring and breathing vibration signals, and the breathing state analysis result includes snoring state analysis result and sleep apnea hypopnea state analysis result. The analysis result can be used as a basis for determining whether to intervene in the user's snoring behavior or abnormal breathing state and how to intervene in the subsequent steps.

[0090] In some alternative embodiments, analyzing the breathing state of the user according to the target vibration signal to obtain a breathing state analysis result includes:

[0091] S121, performing time domain analysis and / or frequency domain analysis on the high-frequency vibration signal related to snoring to obtain a snoring state analysis result;

[0092] S122, analyze the respiratory vibration signal to obtain sleep apnea hypopnea state analysis results.

[0093] Specifically, in the present embodiment, the snoring state analysis results include the number of snoring, snoring time and snoring duration of the user, and the sleep apnea hypopnea state analysis results include the duration of sleep apnea hypopnea and the number of sleep apnea hypopnea in a preset time window.

[0094] For the snoring signal, the number, time and duration of snoring can be determined by a time domain analysis method, considering the energy and amplitude enhancement caused by snoring, establishing a dynamic threshold standard. The number, time and duration of snoring can also be determined by a frequency domain analysis method, considering the energy fluctuation of different frequency bands caused by snoring. The vibration signal can be one-to-one corresponding to the user sleeping on the pillow, avoiding the problem that the sound sensor may collect other user interference, and can accurately analyze the snoring state of the user as the basis for adaptive and fine intervention of the user's snoring behavior in the subsequent steps.

[0095] For the respiratory vibration signal, the presence of sleep apnea hypopnea events and the duration of the implementation can be determined according to the waveform of the respiratory vibration signal.

[0096] After obtaining the snoring state analysis results and the respiratory state analysis results by the above processing, the respiratory state of the user can be analyzed based on any one or both of the analysis results, which provides a basis for the decision of the remaining steps. For example, when snoring or sleep apnea hypopnea events are detected, the vibration intensity, duration, number of snoring in a time window, sleep apnea hypopnea duration, number of sleep apnea hypopnea in a time window and other factors can be used to provide a basis for the decision of whether to perform an intervention operation and the intervention intensity in the subsequent steps.

[0097] S130, determining whether the intervention condition is met according to the respiratory state analysis results;

[0098] Specifically, the respiratory state analysis results can show whether the user is in a wakeful state, the duration of falling asleep, the stage of sleep, and whether there are snoring, sleep apnea and other respiratory events that need to be intervened. According to these analysis results, it can be determined whether the respiratory state of the user needs to be intervened.

[0099] In some alternative embodiments, determining whether the intervention condition is met according to the respiratory state analysis results includes:

[0100] S131, determining a respiratory abnormality severity index according to the respiratory state analysis results, and determining whether there is a respiratory abnormality related event;

[0101] S132, determining whether the respiratory abnormality severity index exceeds a preset first threshold value;

[0102] S133, when the respiratory abnormality severity index exceeds the first threshold value or the respiratory abnormality related event exists, determining that the intervention condition is met;

[0103] The respiratory abnormality severity index includes a snoring severity index and / or a sleep apnea hypopnea severity index.

[0104] Specifically, referring to Figure 6 The flow of determining whether intervention is needed for the user's respiratory state in this embodiment is as follows:

[0105] According to the vibration intensity, duration, number of snoring sounds in a time window, sleep apnea hypopnea duration, number of sleep apnea hypopneas in a time window and other state information of the user's snoring sound indicated by the snoring sound state analysis result and the sleep apnea hypopnea state analysis result, a severity rule mapping is established to generate a respiratory abnormality severity index, so as to generate different intervention levels. The respiratory abnormality severity index can be a snoring severity index generated according to the vibration intensity, duration, number of snoring sounds in a time window; or a sleep apnea hypopnea severity index generated according to the sleep apnea hypopnea duration, number of sleep apnea hypopneas in a time window, and number of respiratory effort related arousals; or a comprehensive evaluation severity index of the snoring severity index and the sleep apnea hypopnea severity index. The respiratory abnormality severity index can be a level, such as normal, mild, moderate, and severe; or a continuous index, such as 0-100, and the higher the score, the higher the severity. When the severity rule reaches the first threshold value of intervention, it is determined that the intervention condition is met. The first threshold value can be manually adjusted by the user or can be defined by the algorithm in the default mode.

[0106] For example, the respiratory abnormality severity index in Tw time (Tw is the window sliding time, for example, 2 minutes) can be used to determine whether the respiratory abnormality severity index exceeds the preset threshold value, and the severity level is also determined.

[0107] In addition to determining whether the intervention condition is met according to the respiratory abnormality severity index, it can also be determined whether a respiratory abnormality related event exists through a pre-established event analysis rule. When the respiratory abnormality related event exists, it is determined that the user's respiratory state needs to be intervened.

[0108] For example, the rule for determining whether a respiratory abnormality related event exists can be specifically set as:

[0109] 1) ≥ N1 times of obstructive sleep apnea (N1 is the number of obstructive sleep apnea, for example, 2), or

[0110] 2) ≥ N2 times of hypopnea (N2 is a hypopnea frequency threshold, for example, 3), or

[0111] 3) ≥ N3 times of respiratory effort-related arousal (N3 is a respiratory effort-related arousal frequency threshold, for example, 5), or

[0112] 4) ≥ Ts time of loud snoring (Ts is a snoring duration, for example, 3 minutes, and loud snoring can be defined according to actual scene and actual user condition, which can be a decibel value, can be a vibration amplitude value, can be a vibration integral area value, etc.).

[0113] When one of the above conditions is met, it is considered that a respiratory abnormality related event exists, and intervention on the user's respiratory state is needed.

[0114] S140, when the intervention condition is met, the respiratory state of the user is intervened according to the respiratory state analysis result and the preset adaptive intervention rule;

[0115] Among them, the target vibration signal includes a high-frequency vibration signal related to snoring and / or a respiratory vibration signal, and the respiratory state analysis result includes a snoring state analysis result and / or a sleep apnea hypopnea state analysis result.

[0116] Specifically, in this embodiment, according to the snoring state analysis result and the sleep apnea hypopnea state analysis result, it can be judged whether the current respiratory state of the user needs to be intervened, and how to determine the intensity of the intervention to balance the intervention effect and the sleep quality of the user.

[0117] Exemplarily, the adaptive intervention rule in this application can flexibly adjust the intervention intensity, and adjust the intervention intensity at any time according to the severity of the abnormal respiratory state of the user, so that the user can obtain a more smooth and smooth intervention experience, and avoid "overcorrection". When the severity of the abnormal respiratory state of the user is lighter, such as shallow snoring and shorter snoring time, light intervention can obtain very good intervention effect. When the snoring is very serious, the intervention gear will be strengthened, and even micro-arousal can be induced. Although the user himself does not remember or unconsciously micro-arousal, but still stops snoring and adjusts to continue sleeping. This induction can be adjusted according to the sleep stage of the user, and it is tried to induce from shallow sleep to micro-arousal, and gradually induce to shallow sleep and then naturally transition to micro-arousal.

[0118] In some alternative embodiments, the intervention on the respiratory state of the user according to the respiratory state analysis result and the preset adaptive intervention rule comprises:

[0119] S141, the intervention gear is regulated according to the respiratory state analysis result and the preset adaptive intervention rule;

[0120] S142, intervene in the user's breathing state according to the intervention gear control intervention module.

[0121] Specifically, in the present embodiment, flexible adaptive intervention is achieved by designing intervention gear control rules. For example, a severity rule is established, a snoring severity index is generated according to the vibration strength, duration, number of snoring in the time window, sleep apnea hypopnea duration, and number of sleep apnea hypopnea in the time window in the snoring state analysis result, and different intervention gears are generated according to the snoring severity index. The intervention gear is adjusted in real time according to the breathing state analysis result, and the breathing state analysis result is updated in real time according to the effective vibration signal detected by the piezoelectric sensor array, thereby realizing real-time updating of the judgment result of whether to intervene and the intervention gear and other information.

[0122] The adaptive intervention rule based on the intervention gear design provided in the present embodiment can be used in various snoring suppression schemes. The intervention gear directly corresponds to the intervention intensity of the intervention module. The intervention module can be realized by a gas bag type intervention method, other neck lifting intervention methods, or a stimulation electrode intervention method. Different intervention gears can correspond to different working states such as the adjustment amplitude of the gas bag, the height of the neck lifting, and the stimulation intensity of the stimulation electrode. For example, the gas bag type snoring stop can be used. A plurality of gas bags are arranged inside the snoring stop pillow. When snoring is detected, the gas pressure of different regions of the pillow is adjusted by adjusting the gas bags, so as to adjust the sleep position of the user's head to relieve the snoring symptoms, or the whole mattress is linked to adjust the whole sleep position of the user to relieve the snoring symptoms.

[0123] In some alternative embodiments, the intervention gear is controlled according to the breathing state analysis result and the preset adaptive intervention rule, comprising:

[0124] S143, set the intervention gear to a preset initial gear;

[0125] S144, determine whether the intervention gear upshift condition and the intervention gear downshift condition are met according to the breathing state analysis result;

[0126] S145, when the intervention gear upshift condition is met and the intervention gear is not in the preset highest gear, the gear of the intervention gear is increased;

[0127] S146, when the intervention gear downshift condition is met and the intervention gear is not in the lowest gear, the gear of the intervention gear is decreased;

[0128] S147, when the intervention gear downshift condition is met and the intervention gear is in the lowest gear, the intervention gear is set to a stop intervention gear.

[0129] Specifically, in the present embodiment, after it is determined according to the foregoing steps that intervention on the breathing state of the user is needed (i.e., after the intervention conditions such as non-wake state, sleep duration greater than a threshold, presence of a breathing abnormality related event, etc. are met), intervention on the user can be performed. The intervention gear can be set to an initial gear as the basis for the working state of the intervention module, and the initial gear can be represented as gear 0. The initial gear can be determined by system default setting, user self-definition, and according to the foregoing breathing abnormality index mapping, etc. After the intervention is started, the maintenance time of the current breathing state of the user needs to be determined in real time to increase or decrease the intervention gear or stop, so as to make the user obtain a smoother and smoother intervention experience.

[0130] For example, the adaptive intervention rule designed in combination with whether the user is awake, sleep duration, intervention gear and intervention conditions is as follows: Figure 7 Figure 7 As shown in the table, the adaptive intervention rule can be specifically set as:

[0131] 1) ≥ N1 times of obstructive sleep apnea (N1 is the number of times of obstructive sleep apnea, for example, 2), or

[0132] 2) ≥ N2 times of hypopnea (N2 is the number of times of hypopnea, for example, 3), or

[0133] 3) ≥ N3 times of respiratory effort related arousal (N3 is the number of times of respiratory effort related arousal, for example, 5), or

[0134] 4) ≥ Ts time of large amplitude snoring (Ts is the duration of snoring, for example, 3 minutes, and large amplitude snoring can be defined according to the actual scene and actual user situation, which can be a decibel value, can be a vibration amplitude value, can be a vibration integral area value, etc.).

[0135] ​Based on the above respiratory related events, when any of the above events is met, intervention 0 is performed, 0 represents the initial gear set; wake up or maintain Tn time (Tn is the normal maintenance time, for example 10 minutes) without related respiratory events, which is considered not to meet the intervention condition and no intervention is performed; if T1 time (T1 is the maintenance time after resetting the intervention gear, for example 5 minutes) is still met, it is considered that the gear up condition is met, and the intervention gear is up one gear, until the preset maximum gear is reached, which can be the system default maximum gear or the user's self-defined maximum tolerance gear, for example, assuming that the maximum supported by the system is n, the user can set the self-defined maximum tolerance gear to n according to his own tolerance, or a relatively low gear m or lower; when there is no related respiratory event for Tn time and the current intervention gear is not the lowest gear, the intervention gear is down one gear, and if the lowest gear is reached, the intervention is stopped; if the user wakes up (not micro-awakening, the user is aware of his own wakefulness), the intervention is also stopped.

[0136] Reference Figure 7 , Figure 7 T0=5 minutes, T1=5 minutes, Ts=3 minutes, Tn=10 minutes, N1=2 times, N2=3 times, N3=5 times. Without loss of generality, the related parameter definitions can be adjusted according to the actual scene and actual user situation. No further description is given.

[0137] Exemplarily, when the intervention module is a gas bag type intervention mode or other neck lifting intervention mode, the working mode of the intervention module based on the adaptive intervention rule is specifically: when it is judged that the intervention condition is met, the neck can be first slightly inflated or lifted (equivalent to 0 gear), and if the user wakes up (not micro-awakening, the user is aware of his own wakefulness), the intervention is also stopped. If the intervention condition is continued to be met (i.e., the duration of the presence of the respiratory abnormality related event is greater than the threshold), the neck is inflated or lifted (equivalent to the intervention gear being raised by one gear), until the self-defined maximum inflation amount or lifting amount (equivalent to the self-defined maximum intervention gear) is reached. If there is no related respiratory event for 10 minutes, the neck is deflated or lowered (equivalent to the intervention gear being lowered), until the intervention is stopped. During the process, if the user wakes up (not micro-awakening, the user is aware of his own wakefulness), the intervention is also stopped. In this way, the user can adapt to a better head position or body position while the snoring intervention is performed, and a better experience and improved sleep quality can be obtained.

[0138] In some alternative embodiments, the intervention module includes a stimulation electrode array, and the intervention module controls the intervention on the user's respiratory state according to the intervention gear, including:

[0139] S148, stimulating the user's neck by generating a micro-current through the stimulation electrode array;

[0140] S149, controlling the stimulation intensity of the stimulation electrode array according to the intervention gear;

[0141] The stimulation intensity of the stimulation electrode array is controlled, including controlling at least one of the current intensity, the discharge electrode density, and the discharge electrode quantity of the stimulation electrode array.

[0142] Specifically, the airbag snore stop or other snore stop mode of lifting the user's neck in the prior art changes the user's sleep position, which may cause the user to be in an uncomfortable sleep position, and even may cause the user's cervical spine, spine, or the like to be in an unreasonable stress state, affecting the user's sleep quality.

[0143] To achieve the effect of not affecting the user's sleep position during intervention and guarantee the user's sleep quality, the stimulation electrode is selected as the snore stop module in the embodiment. The stimulation electrode array generates a micro-current stimulation to enhance the stimulation of the user's neck muscle group and nerves, radiates to pull the pharyngeal airway tail side and contract the sternothyroid muscle to stabilize the upper airway, thereby improving the abnormal breathing state such as snoring, sleep apnea hypopnea syndrome, and the like.

[0144] Exemplarily, referring to Figure 2 , the stimulation electrode array can be embedded in a flexible fabric and covered on the pillow for the user to sleep to generate a micro-current stimulation to the user's neck. The flexible fabric can be integrated with the pillow, can be a pillowcase type, can be a pasteable type, or can be disposable or repeatable. The pillow can be a traditional pillow or a pillow core, or can be a sofa armrest, a cushion, a mattress, or the like supporting body for the user to sleep. The user can lay the flexible fabric containing the stimulation electrode array on the mattress, sofa armrest, cushion, or the like, and then sleep on it. The carrier of the stimulation electrode array and the form of the pillow are not limited in the present application.

[0145] Referring to Figure 3 , when the flexible fabric is used as the carrier of the stimulation electrode array, the stimulation electrode array can be distributed in a matrix, in a strip, in an interlaced manner, in a point, or in a certain pattern, which is not limited in the present application.

[0146] Exemplarily, the stimulation intensity of the stimulation electrode array can be obtained by mapping the current intervention gear. The specific stimulation intensity can be determined by the current intensity, the discharge electrode density, and the discharge electrode quantity, and the like.

[0147] It can be recognized that the embodiment generates a micro-current stimulation by the stimulation electrode array to achieve the inhibition of the user's snoring behavior, and good snore stop effect can be obtained without changing the user's sleep position, which helps to guarantee the user's sleep quality.

[0148] In some alternative embodiments, the snoring stopping method further comprises:

[0149] S150, acquiring the electromyography signal of the neck muscle group of the user through the electromyography electrode array;

[0150] S151, judging the relaxation degree of the neck muscle group of the user according to the electromyography signal;

[0151] S152, adjusting the intervention region of the intervention on the breathing state of the user according to the relaxation degree;

[0152] In some alternative embodiments, the snoring stopping method further comprises:

[0153] S153, evaluating the intervention effect of the intervention on the breathing state of the user through the electromyography signal and / or the analysis result of the breathing state.

[0154] Specifically, the embodiment can also acquire the electromyography signal of the neck muscle group of the user through the electromyography electrode array. Referring to Figure 2 , the electromyography electrode array can be embedded in a flexible fabric and covered on the pillow for the user to sleep to acquire the electromyography signal of the neck muscle group of the user. The flexible fabric can be integrated with the pillow, can be in the form of a pillowcase, can be in the form of a pasteable fabric, and can be disposable or reusable. The pillow can be a traditional pillow or a pillow core, or can be a sofa armrest, a cushion, a mattress or other support body supporting the user to sleep. The user can lay the flexible fabric containing the electromyography electrode array on the mattress, sofa armrest, cushion or other position, and then sleep on it. The application does not make specific limitations on the carrier of the electromyography electrode array and the form of the pillow.

[0155] Exemplarily, referring to Figure 8 , when the flexible fabric is used as the carrier of the electromyography electrode array, the original vibration signal is acquired through the flexible piezoelectric sensor array, and the stimulation electrode array is selected as the intervention module, and the three are uniformly distributed in a matrix form, the distribution of the three in the flexible fabric can be as shown in Figure 8 , the electromyography electrode array can be arranged around the stimulation electrode, and the two kinds of electrodes can be distributed cooperatively or staggeredly, and the relative position can be adjusted arbitrarily according to the scene. When the user's neck is placed on the flexible fabric, the electromyography electrode can acquire the electromyography signal of the muscle group.

[0156] In addition, in S153 of some embodiments, the effect of the intervention can be evaluated according to the changes in the electromyographic signals and the user's breathing state analysis results before and after the intervention, combined with the changes in the electrical and mechanical properties thereof, to provide a reference for the optimization and improvement of the snore intervention program. According to the electromyographic signals, the electrical and mechanical properties of the corresponding muscle region can be analyzed to determine the degree of muscle relaxation in the corresponding region, so as to make fine adjustments to the specific intervention region and further improve the user experience. For example, when it is determined that the muscle relaxation degree of the left side of the user's neck is higher than a preset threshold, the stimulation on the left side intervention region can be increased, because the local muscle relaxation degree is related to the airway collapse, and the precise region electrode stimulation can be performed based thereon.

[0157] In some alternative embodiments, the target vibration signal further includes a heart beat vibration signal, the breathing state analysis result further includes a sleep state analysis result and a sleep stage analysis result, and the snore intervention method further includes:

[0158] S160, analyzing the breathing vibration signal and the heart beat vibration signal to obtain the sleep state analysis result and the sleep stage analysis result;

[0159] S161, analyzing the breathing vibration signal and the sleep state analysis result to obtain a sleep apnea hypopnea state analysis result;

[0160] S162, determining whether the user is in a wake state according to the sleep state analysis result;

[0161] S163, when the user is in a wake state, determining that the intervention condition is not met;

[0162] S164, determining whether the user belongs to a deep sleep state according to the sleep stage analysis result;

[0163] S165, when the user is in a deep sleep state, limiting the intervention intensity of the intervention on the user's breathing state.

[0164] Specifically, the target vibration signal can further include a heart beat vibration signal. Referring to Figure 4 In Figure 4 , the third signal from top to bottom is the separated and extracted heart beat waveform signal, i.e., the ballistocardiogram BCG.

[0165] For the breathing vibration signal and the heart beat vibration signal, the heart-lung coupling mechanism can be used to analyze the two signals, and information such as heart rate, breathing frequency, sleep state and sleep stage can be obtained.

[0166] Since snoring needs to be intervened only after falling asleep, the sleep state and sleep stage information of the user can be used to identify whether the user is in a wakeful state, as a basis for determining whether to intervene in the user's breathing state in the subsequent judgment step.

[0167] For the respiratory vibration signal and the heart beat vibration signal, the heart-lung coupling mechanism can be used to analyze both, and information such as heart rate, respiratory rate, sleep state and sleep stage can be obtained. The heart-lung coupling mechanism reveals the complex coupling relationship between sleep behavior and autonomic nervous system regulation of cardiopulmonary activity, and is used to evaluate the close relationship between the heart and the respiratory system. Through heart-lung coupling analysis technology, important information about sleep and cardiopulmonary function can be obtained. The basic principle is based on the physiological coupling relationship between the heart and the respiratory system. The two will adjust each other to maintain the balance between oxygen supply and carbon dioxide removal in the human body, and this coupling relationship is particularly evident during sleep. By monitoring and analyzing the heart beat vibration signal and the respiratory vibration signal during sleep in real time, the coupling index of the heart and the respiratory system can be obtained. This index reflects the degree of interaction between the heart and the respiratory system, which can help doctors evaluate the patient's sleep (sleep state, sleep stage, sleep quality, etc.) and cardiopulmonary function (heart rate, respiratory rate, etc.). Of course, under the influence of the heart-lung coupling mechanism, one or more of the parameters such as heart rate, heart rate variability in time or frequency domain, respiratory rate, respiratory amplitude, body movement, etc. can be used to evaluate sleep state and sleep stage. These parameters have a certain degree of correlation with sleep stage, such as a slow decrease in heart rate and respiratory rate at sleep onset, an increase in heart rate during REM, a change in heart rate variability with sleep stage, and a decrease in body activity with sleep depth. In essence, they are all variants of heart-lung coupling technology applications. Of course, it is not limited to mechanism, but through feature engineering to extract many features, and then train a machine learning or deep learning model through massive data, and then use the trained model to evaluate sleep state and sleep stage in real time.

[0168] At the same time, with reference to Figure 5 By analyzing the respiratory waveform and heart rate synchronously, multiple obstructive sleep apnea events can be identified, and more accurate results of sleep apnea hypopnea events can be obtained. When a sleep apnea event occurs, the heart rate will gradually increase due to insufficient oxygen supply, so the latter half of the event is usually accompanied by an increase in heart rate, even a rapid increase of more than 10 BPM. By combining the analysis results with the snoring analysis results, the severity of the user's snoring can be more accurately evaluated.

[0169] Since snore stopping only needs to intervene after falling asleep, the sleep state and sleep stage information of the user can be used to identify whether the user is in a wakeful state, as a basis for subsequent judgment steps to determine whether to intervene in the user's breathing state and whether to limit the intervention intensity. According to the information such as the sleep state and sleep stage of the user prompted in the user sleep state analysis result or sleep stage analysis result, it can be preliminarily judged whether the user is in a sleep state, how long the user has been asleep, and which of the sleep stages such as light sleep, deep sleep or micro wakefulness. When the user is identified to be in a wakeful state or the sleep time is too short, even if a suspected snoring signal (such as talking) is detected, snore stopping intervention will not be performed, and when the user is identified to be in a deep sleep state, in order to prevent the intervention intensity from being too large to wake up the user and affect the user's sleep quality, the intervention intensity needs to be limited, such as relaxing the stimulation intensity, first inducing to light sleep, and then transitioning to micro wakefulness to ensure the smoothness of the intervention experience.

[0170] In the following, the scheme of the embodiments of the present application will be described and explained in detail in combination with specific application examples:

[0171] With reference to Figure 9 , in Figure 9 , there are a distributed piezoelectric sensor, a distributed electromyography sensor (optional), a distributed stimulation electrode (all of the three are distributed on a flexible fabric), a processor, a memory, a Bluetooth communication module, a WIFI / 3G / 4G / 5G communication module, a cloud server, and a terminal. The snore stopping method provided in the embodiments of the present application can be realized through the interaction of the processor, the memory, and other hardware, or through the interaction between the hardware and the cloud server.

[0172] Exemplarily, in some embodiments, when the method is realized through the interaction of the processor, the memory, and other hardware, the processor can realize the method provided in the embodiments of the present application by executing the computer program stored in the memory. In some embodiments, when the method is realized through the interaction between the hardware and the cloud server, the processor can send the collected relevant signals to the cloud server through the WIFI / 3G / 4G / 5G communication module, and the cloud server performs relevant data processing tasks to obtain the corresponding results. The Bluetooth communication module and the WIFI / 3G / 4G / 5G communication module are configured according to the use scenario, and finally data display or instruction interaction is performed on the terminal such as a mobile phone, a tablet computer, a computer, and a smart wearable device, or data display is directly performed through a configured display screen, or wired direct connection to other terminals and the like are performed, which are not specifically limited in the present application.

[0173] With reference to Figure 10 , the embodiments of the present application also provide a snore stopping device, which can realize the above-mentioned method, and the device comprises:

[0174] at least one processor;

[0175] at least one memory for storing at least one program;

[0176] When the at least one program is executed by the at least one processor, the at least one processor implements the aforementioned snore stopping method.

[0177] The contents in the method embodiments are applicable to the device embodiments, the device embodiments specifically implement the functions of the method embodiments, and achieve the same beneficial effects as the method embodiments.

[0178] The embodiment of the application further provides a computer readable storage medium, wherein a program executable by a processor is stored, and the program executable by the processor is used for executing the aforementioned snore stopping method when executed by the processor.

[0179] The computer readable storage medium of the embodiment of the application can execute the snore stopping method provided by the method embodiments of the application, execute the steps of any combination of the method embodiments, has the corresponding functions and beneficial effects of the method.

[0180] The embodiment of the application further discloses a computer program product or a computer program, and the computer program product or the computer program includes computer instructions stored in a computer readable storage medium. The processor of the device can read the computer instructions from the computer readable storage medium, and the processor executes the computer instructions, so that the device executes the snore stopping method shown in the embodiment of the application. Figure 1

[0181] In some alternative embodiments, the functions / operations mentioned in the block diagram can not occur in the order mentioned in the operation diagram. For example, depending on the functions / operations involved, two blocks shown in succession can actually be executed substantially simultaneously or the above blocks can be executed in reverse order at times. In addition, the embodiments presented and described in the flowcharts of the application are provided by way of example, and the purpose is to provide a more comprehensive understanding of the technology. The disclosed method is not limited to the operations and logical flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed and in which sub-operations described as part of larger operations are independently executed.

[0182] ​Furthermore, although the present application is described in the context of functional modules, it is to be understood that one or more of the functions and / or features described above can be integrated in a single physical device and / or software module, or one or more functions and / or features can be implemented in separate physical devices or software modules. It will also be appreciated that detailed discussion of the actual implementation of each module is unnecessary to an understanding of the present application. Rather, the actual implementation of the modules, in conjunction with their attributes, functions, and internal relationships, are to be understood within the context of the devices disclosed herein. Thus, those skilled in the art with access to the teachings presented herein will be able to devise suitable implementations of the present application without undue experimentation. It is also to be understood that the particular concepts disclosed are merely illustrative and are not intended to limit the scope of the present application, which is defined by the appended claims and equivalents thereof.

[0183] If the above functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for making a device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0184] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a list of executable instructions for implementing logic functions, which can be specifically embodied in any computer readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, device or apparatus) or in conjunction with these instruction execution systems, devices or apparatus. For the purpose of this specification, "computer readable medium" can be any device that can contain, store, communicate, propagate or transport programs for use by an instruction execution system, device or apparatus or in conjunction with these instruction execution systems, devices or apparatus.

[0185] More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection (electronic) having one or more wires, a portable computer diskette (magnetic), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can also be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, for example, via optical scanning of the paper or other medium, then compiled, interpreted, or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.

[0186] It should be understood that aspects of the application can be implemented in hardware, software, firmware or combinations thereof. In the above embodiments, various steps or methods can be implemented in software or firmware which are stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any of the following technologies, known in the art, or their combinations can be used: discrete logic circuitry having logic gates for implementing logic functions upon an application of data signals, application specific integrated circuits having appropriate combinational logic gates, programmable gate arrays (PGA), field programmable gate arrays (FPGA), and the like.

[0187] In the above description of the present specification, the description referring to the terms "one embodiment", "another embodiment", or "certain embodiments" or the like means that a specific feature, structure, material or characteristic described in connection with the embodiments or examples is included in at least one embodiment or example of the present application. The illustrative expressions of the above terms do not necessarily refer to the same embodiment or example in the present specification. Also, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0188] Although the embodiments of the present application have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, alternatives and variations to these embodiments can be made without departing from the principles and spirit of the application, the scope of which is defined by the claims and their equivalents.

[0189] The above is a specific description of the preferred embodiments of the present application, but the present application is not limited to the above-described embodiments, and those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present application, and these equivalent modifications or substitutions are included in the scope defined by the claims of the present application.

Claims

1. A method of snore stopping, characterized in that, The method comprises the following steps: obtaining an original vibration signal of a user's neck, preprocessing the original vibration signal to obtain a target vibration signal; analyzing a breathing state of the user according to the target vibration signal to obtain a breathing state analysis result; determining whether an intervention condition is met according to the breathing state analysis result; when the intervention condition is met, intervening in the breathing state of the user according to the breathing state analysis result and a preset adaptive intervention rule; wherein the target vibration signal comprises a high-frequency vibration signal related to snoring sound and / or a breathing vibration signal, and the breathing state analysis result comprises a snoring sound state analysis result and / or a sleep apnea hypopnea state analysis result.

2. A method of snore reduction according to claim 1 wherein, The method comprises the following steps: obtaining an original vibration signal of a user's neck, preprocessing the original vibration signal to obtain a target vibration signal; obtaining the original vibration signal of the user's neck through a flexible piezoelectric sensor array; 3. The method of claim 1, wherein, filtering and denoising the original vibration signal to separate the target vibration signal. The method comprises the following steps: analyzing the breathing state of the user according to the target vibration signal to obtain a breathing state analysis result; 4. The method of claim 1, wherein, performing time domain analysis and / or frequency domain analysis on the high-frequency vibration signal related to snoring sound to obtain the snoring sound state analysis result; analyzing the breathing vibration signal to obtain the sleep apnea hypopnea state analysis result. The method comprises the following steps: determining whether an intervention condition is met according to the breathing state analysis result; determining a breathing abnormality severity index according to the breathing state analysis result and determining whether a breathing abnormality related event exists; 5. The method of claim 1, wherein, determining whether the breathing abnormality severity index exceeds a preset first threshold value; when the breathing abnormality severity index exceeds the first threshold value or the breathing abnormality related event exists, determining that the intervention condition is met; wherein the breathing abnormality severity index comprises a snoring severity index and / or a sleep apnea hypopnea severity index.

6. A method of snore stopping according to claim 5, wherein, The method comprises the following steps: intervening in the breathing state of the user according to the breathing state analysis result and a preset adaptive intervention rule; controlling an intervention gear according to the breathing state analysis result and the preset adaptive intervention rule; controlling an intervention module to intervene in the breathing state of the user according to the intervention gear. The method comprises the following steps: setting the intervention gear to a preset initial gear; 7. A method of snore stopping according to claim 5, wherein, determining whether an intervention gear upshift condition and an intervention gear downshift condition are met according to the breathing state analysis result; when the intervention gear upshift condition is met and the intervention gear is not at a preset highest gear, increasing the gear of the intervention gear; when the intervention gear downshift condition is met and the intervention gear is not at a lowest gear, decreasing the gear of the intervention gear; when the intervention gear downshift condition is met and the intervention gear is at the lowest gear, setting the intervention gear to a stop intervention gear. The intervention module is a stimulating electrode array, and the method comprises the following steps: generate a micro-current to stimulate the user's neck through the stimulation electrode array; control a stimulation intensity of the stimulation electrode array according to the intervention level; wherein the control of the stimulation intensity of the stimulation electrode array comprises control of at least one of a current intensity, a discharge electrode density, and a discharge electrode number of the stimulation electrode array.

8. The method of claim 1, wherein, The snore stopping method further comprises: obtain an electromyography signal of a muscle group of the user's neck through the electromyography electrode array; determine a relaxation degree of the muscle group of the user's neck according to the electromyography signal; adjust an intervention region of the intervention on the breathing state of the user according to the relaxation degree.

9. The method of claim 1, wherein, The target vibration signal further comprises a heart beat vibration signal, and the breathing state analysis result further comprises a sleep state analysis result and a sleep stage analysis result, and the snore stopping method further comprises: analyze the breathing vibration signal and the heart beat vibration signal to obtain the sleep state analysis result and the sleep stage analysis result; analyze the breathing vibration signal and the sleep state analysis result to obtain the sleep apnea hypopnea state analysis result; determine whether the user is in a wake state according to the sleep state analysis result; when the user is in the wake state, determine that the intervention condition is not satisfied. determine whether the user is in a deep sleep state according to the sleep stage analysis result; when the user is in the deep sleep state, limit an intervention intensity of the intervention on the breathing state of the user.

10. A snore stopping device characterized by comprise: at least one processor; at least one memory for storing at least one program; when the at least one program is executed by the at least one processor, the at least one processor implements a snore stopping method according to any one of claims 1-9.

Images