Method and apparatus for monitoring sleep conditions, intelligent sleep system

Abstract

The application relates to the technical field of smart homes, and discloses a method for monitoring sleep conditions, which comprises the following steps: acquiring physiological parameters and behavior information of a user during sleep; determining a current sleep stage of the user according to the physiological parameters; acquiring abnormal sleep states that may occur in the current sleep stage according to the current sleep stage; and determining a current sleep state of the user by comparing features of the abnormal sleep states with reference behavior information in the abnormal sleep states according to the behavior information. Since various abnormal sleep states often occur in specific sleep stages, the sleep stage is determined through physiological parameters in the application, and the behavior information of the user is collected to compare features of the abnormal sleep states that may occur in the current sleep stage. The sleep conditions of the user are determined by comprehensively considering the physiological parameters and the behavior information of the user, so that the accuracy of monitoring the abnormal sleep states can be improved. The application further discloses a device for monitoring sleep conditions, an intelligent sleep system and a storage medium.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of smart home, for example to a method and device for monitoring sleep condition, a smart sleep system, and a storage medium. BACKGROUND

[0002] Sleep occupies an extremely important position in people's daily life, and people spend about 1 / 3 of their time in sleep every day, so the sleep condition has a great impact on the quality of life. At present, with the acceleration of the pace of life, people's stress and fatigue are increasing, and many people's sleep quality is greatly discounted. During sleep, people often have abnormal conditions such as snoring, tooth grinding, talking in their sleep, and even sleepwalking. In order to monitor the sleep condition, a current shooting image is obtained; according to the position change of the target object in the current shooting image and the historical shooting image, it is determined whether the target object appears in the sleep abnormal state.

[0003] In the process of implementing the embodiments of the present disclosure, it is found that at least the following problems exist in the related art:

[0004] The method is not accurate enough for monitoring the abnormal sleep state of the user. For example, for monitoring the user getting up at midnight, the method only detects the change of the shooting image, and cannot distinguish the user sleepwalking from going to the toilet. SUMMARY

[0005] In order to have a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. The summary is not a general review, nor is it intended to determine the key / important elements or delineate the scope of protection of these embodiments, but as a prelude to the detailed description below.

[0006] The embodiments of the present disclosure provide a method and device for monitoring sleep condition, a smart sleep system, and a storage medium, which can improve the accuracy of monitoring the abnormal sleep state.

[0007] In some embodiments, the method comprises:

[0008] obtaining physiological parameters and behavior information of the user during sleep;

[0009] determining the current sleep stage of the user according to the physiological parameters;

[0010] obtaining the abnormal sleep state that may occur in the current sleep stage according to the current sleep stage;

[0011] comparing the behavior information with the reference behavior information in the abnormal sleep state to determine the current sleep state of the user.

[0012] In some embodiments, the apparatus comprises a processor and a memory storing program instructions, the processor is configured to execute the method for monitoring sleep condition as described above when running the program instructions.

[0013] In some embodiments, the intelligent sleep system comprises:

[0014] a data collection module configured to acquire physiological parameters and behavior information of a user during sleep;

[0015] a smart home configured to adjust operating parameters or state parameters under control to improve the sleep condition of the user;

[0016] the apparatus for monitoring sleep condition as described above is electrically connected with the data collection module and the smart home.

[0017] In some embodiments, the storage medium stores program instructions, the program instructions are executed when running the method for monitoring sleep condition as described above.

[0018] The method and apparatus for monitoring sleep condition, the intelligent sleep system, and the storage medium provided by the embodiments of the present disclosure can achieve the following technical effects:

[0019] The embodiments of the present disclosure can determine the current sleep stage of the user in real time by collecting the physiological parameters of the user. Since various abnormal sleep states often occur in a specific sleep stage, by collecting the behavior information of the user and comparing the features with the abnormal sleep states that may occur in the current sleep stage, the embodiments of the present disclosure can determine the sleep condition of the user by comprehensively considering the physiological parameters and behavior information of the user, thereby improving the accuracy of monitoring the abnormal sleep state.

[0020] The foregoing general description and the following description are only exemplary and explanatory, and are not used to limit the present application. BRIEF DESCRIPTION OF DRAWINGS

[0021] One or more embodiments are exemplarily illustrated by corresponding drawings, which do not constitute limitation on the embodiments, and elements with the same reference numerals in the drawings are shown as similar elements, the drawings do not constitute proportional limitation, and wherein:

[0022] Figure 1 is a sleep structure schematic diagram provided by the embodiments of the present disclosure;

[0023] Figure 2 is a schematic diagram of a method for monitoring sleep condition provided by the embodiments of the present disclosure;

[0024] Figure 3 is a sleep cycle electroencephalogram provided by the embodiments of the present disclosure;

[0025] Figure 4 is a schematic diagram of another method for monitoring sleep conditions provided by an embodiment of the present disclosure;

[0026] Figure 5 is a schematic diagram of another method for monitoring sleep conditions provided by an embodiment of the present disclosure;

[0027] Figure 6 is a schematic diagram of another method for monitoring sleep conditions provided by an embodiment of the present disclosure;

[0028] Figure 7 is a schematic diagram of another method for monitoring sleep conditions provided by an embodiment of the present disclosure;

[0029] Figure 8 is a schematic diagram of a device for monitoring sleep conditions provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0030] In order to enable a more detailed understanding of the features and technical content of the embodiments of the present disclosure, the implementation of the embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings, which are only used for reference and do not limit the embodiments of the present disclosure. In the following technical description, in order to facilitate explanation, a plurality of details are provided to provide a full understanding of the disclosed embodiments. However, one or more embodiments can still be implemented without these details. In other cases, well-known structures and devices can be simplified to facilitate the drawings.

[0031] The terms "first", "second", and the like in the specification and claims of the embodiments of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present disclosure described herein can be implemented. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion.

[0032] Unless otherwise specified, the term "a plurality of" means two or more.

[0033] In the embodiments of the present disclosure, the character " / " represents an "or" relationship between the objects before and after it. For example, A / B represents: A or B.

[0034] The term "and / or" is a description of the association relationship between objects, which means that there can be three relationships. For example, A and / or B means: A or B, or, A and B, the three relationships.

[0035] The term "corresponding" can refer to an association relationship or a binding relationship, A corresponding to B means that there is an association relationship or a binding relationship between A and B.

[0036] In the embodiments of the present disclosure, smart home refers to home products formed after microprocessors, sensor technology, network communication technology are introduced into home appliances, furniture and home textiles, and has the characteristics of intelligent control, intelligent perception and intelligent application. The operation process of smart home often depends on the application and processing of modern technologies such as Internet of Things, Internet and electronic chips. For example, smart home can realize remote control and management of smart home by connecting electronic devices.

[0037] In the embodiments of the present disclosure, the terminal device refers to an electronic device with wireless connection function. The terminal device can be connected with the smart home as above through the Internet, or can be directly connected with the smart home as above through Bluetooth, Wi-Fi and the like. In some embodiments, the terminal device is, for example, a mobile device, a computer, or a built-in vehicle device of a hovercar, or any combination thereof. The mobile device may, for example, include a mobile phone, a smart home device, a wearable device, a smart mobile device, a virtual reality device, or any combination thereof, wherein the wearable device may, for example, include a smart watch, a smart bracelet, a pedometer, and the like.

[0038] Sleep occupies an extremely important position in people's daily life. People spend about 1 / 3 of their time in sleep every day, so the sleep condition has a great influence on the quality of people's life. At present, with the acceleration of the pace of life, people's pressure and fatigue are increasing, and many people's sleep quality is greatly discounted. During sleep, people often have abnormal conditions such as snoring, tooth grinding, talking in their sleep, and even sleepwalking. In order to monitor the sleep condition, a current technology is to obtain a current shooting image; according to the position change of a target object in the current shooting image and a historical shooting image, it is determined whether the target object appears in an abnormal sleep state. However, this method is not accurate enough for monitoring the abnormal sleep state of the user. For example, for monitoring the user getting up in the middle of the night, this method only detects the change of the shooting image, and cannot distinguish the user sleepwalking from going to the toilet.

[0039] Before describing the technical solutions of the present application, the following is explained about sleep stages. The brain activity in sleep state is not in a static state, but shows a series of active adjusted periodic changes, at this time, various physiological functions of the body, such as sensory function, motor function and autonomic nervous function, also regularly change in different degrees with the change of sleep depth. The internationally accepted method is to divide sleep into two different phases according to the brain electrical performance, eye movement and muscle tension change in the sleep process, namely non-rapid eye movement sleep (NREM) and rapid eye movement sleep (REM). NREM and REM appear alternately, and one cycle of alternation is called a sleep cycle, and the two cycles are repeated, and there are usually 4-5 sleep cycles per night, each cycle is 90-110 minutes.

[0040] In the NREM stage, the person's breathing becomes shallow, slow and uniform, the heart rate slows down, the blood pressure drops, the whole body muscle relaxes (still can maintain a certain posture), and there is no obvious eye movement. In the NREM stage, it can be further divided into 4 stages, the first stage is the sleep period, the second stage is the light sleep period, the third stage is the moderate sleep period, and the fourth stage is the deep sleep period.

[0041] In the REM stage, the sensory function of the human body further decreases, the muscle is more relaxed, and the tendon reflex disappears. At this time, the blood pressure is higher than that in the NREM stage, the breathing is slightly faster and irregular, the body temperature and heart rate also increase. In the REM stage, various metabolic functions in the body are significantly increased to ensure the synthesis of brain tissue protein and the replenishment of consumed substances, so as to ensure the normal development of the nervous system and accumulate energy for the next day's activities. When the sleeper is awakened in this stage, 74%-95% of people say that they are dreaming and can remember the dream content. During the NREM period, only a few people say that they are dreaming.

[0042] In combination with Figure 1 As shown in the figure, the present embodiment provides a sleep structure schematic diagram. The normal person first enters the NREM stage, and quickly enters the second stage, the third stage and the fourth stage from the first stage in sequence and continues. After the NREM stage lasts for 80-120 minutes, the first REM stage appears, and after lasting for several minutes, the next NREM stage is entered, forming a cycle of NREM stage and REM stage. On average, the REM stage appears once every 90 minutes, and the duration of the REM stage gradually extends as it approaches the later sleep period. Each time can last for 10-30 minutes.

[0043] In combination with Figure 2 As shown in the figure, the present embodiment provides a method for monitoring sleep condition, comprising:

[0044] S201, the intelligent sleep system acquires physiological parameters and behavior information of a user during sleep.

[0045] S202, the intelligent sleep system determines a current sleep stage of the user according to the physiological parameters.

[0046] S203, according to the current sleep stage, the intelligent sleep system acquires an abnormal sleep state that is likely to occur in the current sleep stage.

[0047] S204, according to the behavior information, the intelligent sleep system determines a current sleep state of the user by comparing features with reference behavior information in the abnormal sleep state.

[0048] By collecting physiological parameters of the user, the method for monitoring sleep conditions provided by the embodiments of the present disclosure can determine the current sleep stage of the user in real time. Since various abnormal sleep states often occur in a specific sleep stage, by collecting behavior information of the user and comparing features with abnormal sleep states that are likely to occur in the current sleep stage, the embodiments of the present disclosure can determine the sleep condition of the user by comprehensively considering the physiological parameters and behavior information of the user, thereby improving the accuracy of monitoring the abnormal sleep state.

[0049] Optionally, the physiological parameters include part or all of heart rate, respiratory rate, eye movement frequency, pulse, blood pressure, blood oxygen, brain wave, muscle electrical signal, and skin electrical signal. By collecting physiological parameters of the user, the embodiments of the present disclosure can accurately determine the current sleep stage of the user.

[0050] Optionally, the behavior information includes part or all of sound information, limb activity information, muscle movement information, breathing information, and eye movement information. By collecting behavior information of the user and comparing features with abnormal sleep states that are likely to occur in the current sleep stage, the embodiments of the present disclosure can improve the accuracy of monitoring the abnormal sleep state.

[0051] Optionally, the current sleep stage includes a light sleep stage, a deep sleep stage, or a rapid eye movement stage. The light sleep stage corresponds to the first and second stages of NREM. The deep sleep stage corresponds to the third and fourth stages of NREM. The rapid eye movement stage corresponds to REM. By increasing the determination of the sleep stage, the embodiments of the present disclosure can determine the sleep condition of the user by comprehensively considering the physiological parameters and behavior information of the user, thereby improving the accuracy of monitoring the abnormal sleep state.

[0052] Optionally, the abnormal sleep state includes one or more of snoring, night tooth grinding, sleepwalking, dream talking, sleep paralysis, rapid eye movement sleep behavior disorder, and sleep apnea. By monitoring the abnormal sleep state, the user can better understand his own sleep condition, which is conducive to the user to adjust the sleep plan subsequently.

[0053] Optionally, the smart sleep system determining the current sleep stage of the user according to the physiological parameter comprises: the smart sleep system performing feature matching in a sleep cycle electroencephalogram according to the acquired electroencephalogram signal of the user; if a consistent electroencephalogram segment is matched, the smart sleep system determines the current sleep stage of the user according to the electroencephalogram segment. The embodiment of the present disclosure determines the current sleep stage based on the electroencephalogram signal of the user, and can quickly and intuitively identify the current sleep stage of the user by feature matching with the reference image. Thus, the accuracy of subsequent monitoring of abnormal sleep states is improved.

[0054] Optionally, in combination with Figure 3 As shown in the figure, the embodiment of the present disclosure provides a sleep cycle electroencephalogram. Specifically, in the first stage of NREM, the electroencephalogram starts to change, the frequency gradually slows down, and the amplitude gradually decreases, at this time, it is mainly α wave. In the second stage of NREM, the electroencephalogram starts to change irregularly, the frequency and amplitude are large and small, it is mainly θ wave, and occasionally there are high-frequency and large-amplitude electroencephalogram waves called "sleep spindles", and low-frequency and large-amplitude electroencephalogram waves called "K-complex". In the third stage of NREM, the electroencephalogram frequency becomes lower, the amplitude increases, and Δ wave starts to appear. In the fourth stage of NREM, most of the electroencephalogram starts to show Δ wave, and the amplitude is larger and the frequency is lower. In the REM stage, the electroencephalogram changes rapidly, the Δ wave disappears, and the high-frequency and low-amplitude electroencephalogram appears. At this time, it is similar to the electroencephalogram when awake, but there are characteristic sawtooth waves. At the same time, in addition to the change of the electroencephalogram, the eyes of the user will show rapid jumping phenomenon, and often accompanied by dream phenomenon. According to the sleep cycle electroencephalogram, by comparing the frequency and / or amplitude of the electroencephalogram signal, the smart sleep system can quickly and intuitively determine the current sleep stage of the user. This is conducive to improving the accuracy of subsequent monitoring of abnormal sleep states.

[0055] Optionally, in addition to using the electroencephalogram signal of the user to determine the sleep stage, the embodiment of the present disclosure can also combine other physiological parameters. For example, heart rate, respiratory rate, eye movement frequency, pulse, blood pressure, blood oxygen, electromyogram, electrodermal signal and other physiological parameters, and is not limited to this way of determining the sleep stage according to the electroencephalogram signal of the user.

[0056] Optionally, the embodiment of the present disclosure can also use the regularity in the sleep cycle to further determine the sleep stage. For example, according to the regularity that after the rapid eye movement stage, the deep sleep stage will not be entered immediately, the embodiment of the present disclosure can more accurately realize the comprehensive judgment of the sleep stage.

[0057] Optionally, according to the current sleep stage, the smart sleep system acquires possible abnormal sleep states occurring in the current sleep stage, including: according to the current sleep stage, the smart sleep system searches for corresponding abnormal sleep states from the first preset correlation relationship. Since various abnormal sleep states often occur in specific sleep stages, for example, sleep paralysis often occurs in the rapid eye movement stage. Similarly, sleepwalking does not occur in the rapid eye movement stage, but in the deep sleep stage. Compared with the prior art, the embodiment of the present disclosure combines the determination of the sleep stage, which can effectively distinguish the user's sleepwalking from going to the toilet, thereby more accurately monitoring the user's sleep state.

[0058] Optionally, the first preset correlation relationship includes the corresponding relationship between one or more sleep stages and possible abnormal sleep states. For example, Table 1 shows a corresponding relationship between a sleep stage and possible abnormal sleep states, as shown in the following table:

[0059] Table 1

[0060] Sleep stage Abnormal sleep state that can occur Light sleep stage Night grinding, snoring, sleep apnea Deep sleep stage Sleepwalking, sleep talking, snoring, sleep apnea Rapid eye movement stage Sleep paralysis, rapid eye movement sleep behavior disorder, snoring, sleep apnea

[0061] Optionally, more abnormal sleep states can be introduced in the corresponding relationship, and it is not limited to the above-mentioned several abnormal sleep states. The abnormal sleep states are associated according to objective rules, which are not listed one by one here. At the same time, based on the above-mentioned abnormal sleep states, the smart home can perform corresponding parameter adjustment to improve the user's sleep condition.

[0062] Optionally, according to the behavior information, the smart sleep system determines the current sleep state of the user by comparing the features with the reference behavior information in the abnormal sleep state, including: the smart sleep system compares the behavior information of the user with the reference behavior information in each abnormal sleep state; in the case that there is an abnormal sleep state with consistent features, the smart sleep system determines that the current sleep state of the user is the abnormal sleep state; in the case that there is no abnormal sleep state with consistent features, the smart sleep system determines that the current sleep state of the user is a normal sleep state. In this way, by comparing the current behavior information of the user with the preset reference behavior information, the smart sleep system can accurately determine whether the user has an abnormal sleep state and the specific type of the abnormal sleep state. At the same time, since the determination of the sleep stage is added, the embodiment of the present disclosure can comprehensively consider the physiological parameters and behavior information of the user to determine the sleep condition of the user, thereby improving the accuracy of monitoring the abnormal sleep state.

[0063] In combination with Figure 4 The embodiment of the present disclosure provides another method for monitoring sleep condition, including:

[0064] In S401, the intelligent sleep system acquires physiological parameters and behavior information of a user during sleep.

[0065] In S402, the intelligent sleep system determines a current sleep stage of the user according to the physiological parameters.

[0066] In S403, according to the current sleep stage, the intelligent sleep system acquires an abnormal sleep state that is likely to occur in the current sleep stage.

[0067] In S404, according to the behavior information, the intelligent sleep system determines a current sleep state of the user by performing feature comparison with reference behavior information in the abnormal sleep state.

[0068] In S405, in a case where the user is in the abnormal sleep state, the intelligent sleep system controls operation of the smart home according to a type of the abnormal sleep state, so as to relieve the sleep abnormality of the user.

[0069] By using the method for monitoring sleep conditions provided in the embodiments of the present disclosure, the current sleep stage of the user can be determined in real time by acquiring physiological parameters of the user. Since various abnormal sleep states are often in a specific sleep stage, by acquiring behavior information of the user and performing feature comparison with the abnormal sleep state that is likely to occur in the current sleep stage, the embodiments of the present disclosure can determine the sleep conditions of the user by comprehensively considering the physiological parameters and the behavior information of the user, thereby improving the accuracy of monitoring the abnormal sleep state. Further, according to the type of the determined abnormal sleep state, the embodiments of the present disclosure can also control the smart home to adjust parameters. Thus, the sleep conditions of the user can be reasonably improved, and the user experience can be improved.

[0070] Optionally, the smart home includes part or all of the smart air conditioner, the smart pillow, the smart mattress, the smart lamp, and the smart sound. By controlling the smart home to adjust parameters, the embodiments of the present disclosure can reasonably improve the sleep conditions of the user, and improve the user experience.

[0071] Optionally, the intelligent sleep system controlling operation of the smart home according to the type of the abnormal sleep state includes: according to the type of the abnormal sleep state, the intelligent sleep system searches for corresponding smart home from a second preset association relationship; and the intelligent sleep system controls the searched smart home to adjust an operation parameter or a state parameter, so as to relieve the sleep abnormality of the user. In this way, by constructing the association relationship between the abnormal sleep state and the smart home, the embodiments of the present disclosure can quickly control the smart home to adjust parameters in a case where the user is in the abnormal sleep state. Thus, the sleep abnormality of the user can be relieved in time, which is conducive to improving the user experience.

[0072] Optionally, the second preset correlation includes a corresponding relationship between one or more abnormal sleep states and the smart home performing parameter adjustment. For example, Table 2 shows a corresponding relationship between an abnormal sleep state and the smart home performing parameter adjustment, as shown in the following table:

[0073] Table 2

[0074] Abnormal sleep state Smart home performing parameter adjustment Snoring Smart pillow, smart mattress Night grinding Smart pillow, smart mattress Sleepwalking Smart air conditioner, smart lamp, smart sound Sleep talking Smart pillow, smart mattress, smart sound Sleep paralysis Smart air conditioner, smart pillow, smart mattress Rapid eye movement sleep behavior disorder Smart lamp, smart pillow, smart mattress Sleep apnea Smart pillow, smart mattress, smart lamp, smart sound

[0075] Optionally, more smart homes can be introduced in the corresponding relationship, and are not limited to the above-mentioned several smart homes. The smart home can be associated and set according to actual user needs, which are not listed one by one. At the same time, based on the above-mentioned abnormal sleep state, the smart home can perform corresponding parameter adjustment to improve the user's sleep condition.

[0076] Optionally, the adjustment of the smart home parameter is set according to the actual needs of the user. In this way, the parameter adjustment performed by the smart home in the embodiment of the disclosure can be more in line with the personal habits and actual needs of the user, which is beneficial to more accurately improve the user experience.

[0077] Optionally, the adjustment of the smart home parameter is set according to the severity of the abnormal sleep state. In this way, for the abnormal sleep state that seriously endangers the user's health and even life safety, the embodiment of the disclosure can select more smart homes to be linked and controlled. Thus, the user's sleep abnormality phenomenon can be more comprehensively and carefully alleviated, and the user can be avoided from encountering danger to the greatest extent. In addition, the embodiment of the disclosure can also increase the adjustment range of the smart home, thereby improving its auxiliary effect, so as to better improve the user's sleep condition.

[0078] Optionally, the severity of the abnormal sleep state is quantified according to the physiological parameters and / or behavior information of the user during sleep. Specifically, in some embodiments, the severity of snoring can be determined according to the frequency and / or amplitude of the snoring sound obtained after pre-processing the sound information. In other embodiments, the severity of sleep apnea can be determined according to the breathing frequency. The severity of other abnormal sleep states can also be determined according to corresponding physiological parameters and / or behavior information, which are not listed one by one.

[0079] Specifically, in some embodiments, the user is in an abnormal sleep state of snoring. At this time, the smart sleep system can control the smart pillow to adjust the height and / or inclination. The embodiment of the disclosure can correct the posture of the user's head and neck, so as to assist the user to make the airway of the throat smooth, and alleviate the user's breathing difficulty phenomenon.

[0080] Specifically, in some embodiments, the user is in an abnormal sleep state of snoring. At this time, the intelligent sleep system can control the intelligent mattress to adjust the hardness and / or inclination. The embodiments of the present disclosure can correct the user's sleep posture, thereby adjusting the state of the user's spine, balancing abdominal pressure and chest pressure, to relieve the user's breathing difficulty.

[0081] Specifically, in some embodiments, the user is in an abnormal sleep state of snoring, and at this time the user's snoring frequency is high and the amplitude is large. Then the intelligent sleep system can control the intelligent pillow to adjust the height and / or inclination, and control the intelligent mattress to adjust the hardness and / or inclination. In this way, the embodiments of the present disclosure can more comprehensively and meticulously relieve the user's snoring phenomenon, thereby avoiding the user from encountering danger to the greatest extent.

[0082] Specifically, in some embodiments, the user is in an abnormal sleep state of sleepwalking, and at this time the high-definition camera detects that the user will perform a dangerous behavior. Then the intelligent sleep system can control the intelligent air conditioner to adjust the indoor temperature to avoid the user from catching a cold after getting up. At the same time, the intelligent sleep system can control the intelligent lamp to turn on at the maximum brightness, and control the intelligent sound to alarm at the maximum volume. Thus, the user can be awakened in time to avoid further danger. The embodiments of the present disclosure can give care and protection to the user when the user is sleepwalking, thereby improving the user's experience.

[0083] It should be understood that the present application includes but is not limited to the adjustment of the intelligent home parameters in the abnormal sleep state shown in the above embodiments. When the abnormal sleep state is of other types, the corresponding intelligent home can also relieve the user's sleep abnormal phenomenon by adjusting the operating parameters or state parameters, thereby improving the user's sleep condition. The present application is not limited thereto, and is not listed one by one here.

[0084] In combination with Figure 5 The embodiments of the present disclosure provide another method for monitoring sleep condition, comprising:

[0085] S501, the intelligent sleep system acquires physiological parameters and behavior information of the user during sleep.

[0086] S502, the intelligent sleep system determines the current sleep stage of the user according to the physiological parameters.

[0087] S503, according to the current sleep stage, the intelligent sleep system acquires the abnormal sleep state that may occur in the current sleep stage.

[0088] S504, according to the behavior information, the intelligent sleep system determines the current sleep state of the user by comparing the features with the reference behavior information in the abnormal sleep state.

[0089] S505, in the case that the user is in a normal sleep state, the intelligent sleep system controls the operation of the smart home according to the current sleep stage to improve the sleep quality of the user.

[0090] By collecting the physiological parameters of the user, the current sleep stage of the user can be determined in real time by the method for monitoring the sleep state provided by the embodiment of the present disclosure. Since various abnormal sleep states often occur in a specific sleep stage, by collecting the behavior information of the user and comparing the features with the abnormal sleep states that may occur in the current sleep stage, the sleep state of the user can be determined by comprehensively considering the physiological parameters and the behavior information of the user, thereby improving the accuracy of monitoring the abnormal sleep state. Further, when the user is in a normal sleep state, the embodiment of the present disclosure can also control the smart home to adjust the parameters according to the current sleep stage, thereby improving the sleep quality of the user and improving the user experience.

[0091] In combination with Figure 6 The embodiment of the present disclosure provides another method for monitoring the sleep state, which comprises the following steps:

[0092] S601, the intelligent sleep system acquires the physiological parameters and the behavior information of the user during sleep.

[0093] S602, the intelligent sleep system determines the current sleep stage of the user according to the physiological parameters.

[0094] S603, according to the current sleep stage, the intelligent sleep system acquires the abnormal sleep states that may occur in the current sleep stage.

[0095] S604, according to the behavior information, the intelligent sleep system determines the current sleep state of the user by comparing the features with the reference behavior information in the abnormal sleep state.

[0096] S605, the intelligent sleep system records each abnormal sleep state and the duration period in the whole sleep process of the user, and generates a sleep report by combining the physiological parameters and the behavior information in each abnormal sleep state.

[0097] S606, in the case that the user wakes up, the intelligent sleep system sends the sleep report to the terminal device of the user.

[0098] The method for monitoring the sleep state provided by the embodiment of the present disclosure can determine the current sleep stage of the user in real time by collecting the physiological parameters of the user. Since various abnormal sleep states often occur in a specific sleep stage, by collecting the behavior information of the user and comparing the features with the abnormal sleep states that can occur in the current sleep stage, the embodiment of the present disclosure can determine the sleep state of the user by comprehensively considering the physiological parameters and behavior information of the user, thereby improving the accuracy of monitoring the abnormal sleep state. At the same time, the intelligent sleep system records the abnormal sleep states and related information of the user during the whole sleep process, and analyzes and generates a sleep report. The user can receive the sleep report in the first time when waking up, and then knows the specific sleep state of the night. Therefore, the embodiment of the present disclosure can better assist the user to monitor the sleep state of the user, thereby improving the user experience.

[0099] In combination with Figure 7 The embodiment of the present disclosure provides another method for monitoring the sleep state, which comprises the following steps:

[0100] S701, the intelligent sleep system acquires the physiological parameters and behavior information of the user during sleep.

[0101] S702, the intelligent sleep system determines the current sleep stage of the user according to the physiological parameters.

[0102] S703, according to the current sleep stage, the intelligent sleep system acquires the abnormal sleep states that can occur in the current sleep stage.

[0103] S704, according to the behavior information, the intelligent sleep system compares the features with the reference behavior information in the abnormal sleep state, and determines the current sleep state of the user.

[0104] S705, the intelligent sleep system records each abnormal sleep state and the duration of the user during the whole sleep process, and generates a sleep report in combination with the physiological parameters and behavior information in each abnormal sleep state.

[0105] S706, in the case that the user wakes up, the intelligent sleep system sends the sleep report to the terminal device of the user.

[0106] S707, the intelligent sleep system analyzes the sleep report, determines the preset value of the operation parameter or state parameter of the smart home, and controls the smart home to adjust the function according to the preset value before the user sleeps.

[0107] The method for monitoring sleep conditions provided by the embodiments of the present disclosure collects the user's physiological parameters to determine the user's current sleep stage in real time. Since various abnormal sleep states often occur during specific sleep stages, the embodiments of the present disclosure collect user behavioral information and compare its characteristics with abnormal sleep states that may occur during the current sleep stage. This allows the embodiments of the present disclosure to comprehensively consider the user's physiological parameters and behavioral information to determine the user's sleep state, thereby improving the accuracy of abnormal sleep state monitoring. Simultaneously, the intelligent sleep system records abnormal sleep states and related information throughout the user's sleep and generates a sleep report based on analysis. Upon waking, the user receives this sleep report immediately, providing an understanding of their specific sleep conditions that night. Therefore, the embodiments of the present disclosure can better assist users in monitoring their sleep conditions. Furthermore, by analyzing this sleep report, the intelligent sleep system can also pre-adjust the user's sleep schedule for the next time. This allows the user to fall asleep in a more comfortable environment or state, thereby enhancing the user experience.

[0108] Combine Figure 8 As shown, an embodiment of the present disclosure provides a device for monitoring sleep status, including a processor 801 and a memory 802. Optionally, the device may also include a communication interface 803 and a bus 804. The processor 801, the communication interface 803, and the memory 802 may communicate with each other via the bus 804. The communication interface 803 may be used for information transmission. The processor 801 may call the logic instructions in the memory 802 to execute the method for monitoring sleep status of the above embodiment.

[0109] In addition, the logic instructions in the memory 802 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product.

[0110] Memory 802, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as program instructions / modules corresponding to the methods in the embodiments of the present disclosure. Processor 801 executes the program instructions / modules stored in memory 802 to execute functional applications and process data, thereby implementing the methods for monitoring sleep status in the above-mentioned embodiments.

[0111] The memory 802 may include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function; the data storage area may store data generated based on the use of the terminal device. Furthermore, the memory 802 may include high-speed random access memory and non-volatile memory.

[0112] The embodiments of the present disclosure provide a smart sleep system, comprising a data acquisition module, a smart home and the device for monitoring sleep conditions. The data acquisition module is configured to acquire physiological parameters and behavior information of a user during sleep. The smart home is configured to adjust operating parameters or state parameters under control to improve the sleep condition of the user. The device for monitoring sleep conditions is electrically connected to the data acquisition module and the smart home.

[0113] Optionally, the smart home includes some or all of a smart air conditioner, a smart pillow, a smart mattress, a smart lamp, and a smart sound.

[0114] Optionally, the data acquisition module includes some or all of a high-definition camera, a sound sensor, a motion sensor, a heart rate sensor, a respiration sensor, an eye movement sensor, a pulse sensor, a blood pressure sensor, a blood oxygen sensor, an electroencephalogram sensor, an electromyography sensor, and a skin electricity sensor.

[0115] Optionally, the data acquisition module can be arranged in a wearable device.

[0116] Optionally, the data acquisition module can be arranged in a smart home.

[0117] The embodiments of the present disclosure provide a storage medium storing computer executable instructions, which, when executed, perform the method for monitoring sleep conditions.

[0118] The storage medium described above can be a transitory computer readable storage medium or a non-transitory computer readable storage medium.

[0119] The technical solutions of the embodiments of the present disclosure can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes one or more instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the embodiments of the present disclosure. The storage medium described above can be a non-transitory storage medium, including a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes, or a transitory storage medium.

[0120] The above description and the accompanying drawings fully illustrate the embodiments of the present disclosure so that those skilled in the art can practice them. Other embodiments may include structural, logical, electrical, process and other changes. The embodiments represent only possible variations. Unless explicitly required, individual components and functions are optional, and the order of operations may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the words used in this application are only used to describe the embodiments and are not used to limit the claims. As used in the description of the embodiments and claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to also include plural forms. Similarly, the term "and / or" as used in this application refers to any and all possible combinations of one or more associated listings. In addition, when used in this application, the term "comprise" and its variations "comprises" and / or comprising refer to the presence of stated features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or groups of these. In the absence of further restrictions, an element defined by the sentence "comprising a..." does not exclude the presence of other identical elements in the process, method or device that includes the element. In this article, each embodiment may focus on the differences from other embodiments, and the same and similar parts between the various embodiments can be referenced to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method part disclosed in the embodiments, then the relevant parts can be found in the description of the method part.

[0121] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software may depend on the specific application and design constraints of the technical solution. The technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the embodiments of the present disclosure. The technicians will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0122] In the embodiments disclosed herein, the disclosed methods, products (including but not limited to apparatuses, devices, etc.), can be implemented in other manners. For example, the described apparatus embodiments can be implemented only in a form of a logical function, and can be implemented by using a manner such as software (for example, a computer program) or a combination of hardware and software. In a component, a plurality of components, or a combination thereof, can be implemented. In some embodiments, a plurality of components or a combination thereof can be integrated in a machine to realize an apparatus according to the embodiments. In some embodiments, a plurality of components or a combination thereof can be integrated in one physical device or in a virtual machine. In some embodiments, a plurality of components or a combination thereof can be implemented in an addressable storage medium by using instructions.

[0123] The flowcharts and block diagrams in the drawings show the possible implementation architectures, functions and operations of the system, method and computer program product according to the embodiments of the present disclosure. In this regard, each block in the flowcharts or block diagrams can represent a module, a program segment or a part of code containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions noted in the blocks can occur in an order different from that noted in the drawings. For example, two consecutive blocks can actually be executed substantially in parallel, and sometimes they can be executed in reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the drawings, the operations or steps corresponding to different blocks can also occur in an order different from that disclosed in the descriptions, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and sometimes they can be executed in reverse order, depending on the functions involved. Each block in the block diagrams and / or flowcharts, and the combination of blocks in the block diagrams and / or flowcharts, can be implemented by a dedicated hardware-based system that performs the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A method for monitoring sleep conditions, characterized in that, The method comprises: acquiring physiological parameters and behavior information of a user during sleep; determining a current sleep stage of the user according to the physiological parameters; finding a corresponding abnormal sleep state from a first preset correlation relationship according to the current sleep stage; performing feature comparison between the behavior information of the user and reference behavior information in each abnormal sleep state; in a case where there is an abnormal sleep state with consistent features, determining that the current sleep state of the user is the abnormal sleep state; in a case where there is no abnormal sleep state with consistent features, determining that the current sleep state of the user is a normal sleep state; in a case where the user is in an abnormal sleep state, controlling operation of smart home according to the type of the abnormal sleep state to relieve sleep abnormality of the user; or in a case where the user is in a normal sleep state, controlling operation of smart home according to the current sleep stage to improve sleep quality of the user; recording each abnormal sleep state and duration during the whole sleep process of the user, and generating a sleep report in combination with the physiological parameters and behavior information in each abnormal sleep state; in a case where the user wakes up, sending the sleep report to a terminal device of the user; analyzing the sleep report to determine a preset value of an operation parameter or a state parameter of smart home, so as to control smart home to perform function adjustment according to the preset value before the user sleeps.

2. The method of claim 1, wherein, The physiological parameters include part or all of heart rate, respiratory rate, eye movement frequency, pulse, blood pressure, blood oxygen, brain wave, muscle electrical signal, and skin electrical signal; and the behavior information includes part or all of sound information, limb activity information, muscle action information, breathing information, and eye movement information.

3. The method of claim 1, wherein, The current sleep stage includes light sleep stage, deep sleep stage, or rapid eye movement stage; and the abnormal sleep state includes one or more of snoring, night tooth grinding, sleepwalking, dream talking, sleep paralysis, rapid eye movement sleep behavior disorder, and sleep apnea.

4. An apparatus for monitoring sleep conditions, comprising a processor and a memory having stored program instructions, characterized in that, The processor is configured to execute the method for monitoring sleep condition according to any one of claims 1 to 3 when the program instructions are executed.

5. An intelligent sleep system, characterized by, The method comprises: a data acquisition module configured to acquire physiological parameters and behavior information of a user during sleep; a smart home configured to be controlled to adjust an operation parameter or a state parameter to improve sleep condition of the user; The device for monitoring sleep condition according to claim 4 is electrically connected with the data acquisition module and the smart home.

6. The smart sleep system of claim 5, wherein, The smart home includes part or all of a smart air conditioner, a smart pillow, a smart mattress, a smart lamp, and a smart sound; and the data acquisition module includes part or all of a high-definition camera, a sound sensor, a motion sensor, a heart rate sensor, a breathing sensor, an eye movement sensor, a pulse sensor, a blood pressure sensor, a blood oxygen sensor, a brain wave sensor, a muscle electrical sensor, and a skin electrical sensor.

7. A storage medium storing program instructions, characterized in that, The program instructions are executed to perform the method for monitoring sleep condition according to any one of claims 1 to 3.

Images