Sleep monitoring method and apparatus

By using an array of flexible pressure sensors to monitor the user's pressure distribution, the problem of inaccurate sleep monitoring in smart bracelets and smartwatches has been solved, achieving more accurate sleep state detection.

CN116807406BActive Publication Date: 2025-11-25DONGGUAN DERUCCI BEDDING CO LTD
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Patent Information

Application Number
CN202310793992.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-06-30
Publication Date
2025-11-25
Estimated Expiration
2043-06-30

AI Technical Summary

Technical Problem

When existing smart bracelets and smartwatches monitor sleep status through vibration sensors, the accuracy of the detection is affected by the tightness of the fit, resulting in insufficient accuracy.

Method used

An array of flexible pressure sensors is used to monitor the user's pressure distribution information. By acquiring and analyzing pressure change information in real time, the user's body movement and sleep status can be determined without direct contact with the user.

Benefits of technology

It improves the accuracy of sleep monitoring, reduces external interference, and has a lower cost.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a sleep monitoring method and device. The sleep monitoring method is used for a sleep monitoring device, the sleep monitoring device comprises a device body and an array type flexible pressure sensor, the device body is used for a user to lie down, the array type flexible pressure sensor is arranged on the device body and is used for pressure monitoring on the user to obtain pressure distribution information; the sleep monitoring method comprises the following steps: acquiring the pressure distribution information of the user monitored by the array type flexible pressure sensor in real time; determining real-time pressure variation information based on the pressure distribution information; and determining user body movement information based on the real-time pressure variation information, wherein the user body movement information comprises existing body movement and no body movement. Through the above scheme, the problem that the body movement is not accurate enough when the smart bracelet or the smart watch is used as the sleep monitoring device to monitor the body movement is solved.
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Description

Technical Field

[0001] This invention relates to the technical field of sleep monitoring, and more particularly to sleep monitoring methods and devices. Background Technology

[0002] To understand their sleep patterns, many people use smart bracelets or smartwatches as sleep monitoring devices.

[0003] Existing smart bracelets and smartwatches typically include vibration sensors to detect the user's sleep state. When the vibration sensor detects no movement from the user within a preset time, it determines that the user is in deep sleep. However, existing smart bracelets and smartwatches require contact with the user's wrist to detect body movements. When the smart bracelet or smartwatch is fastened or loosened, the detected values ​​are not accurate enough. Summary of the Invention

[0004] This invention provides a sleep monitoring method and device to solve the problem that using smart bracelets or smartwatches as sleep monitoring devices is not accurate enough in monitoring body movement.

[0005] According to one aspect of the present invention, a sleep monitoring method is provided for a sleep monitoring device, the sleep monitoring device comprising a device body and an array of flexible pressure sensors, the device body being for a user to lie on, and the array of flexible pressure sensors being disposed on the device body for monitoring the user's pressure to obtain pressure distribution information; the sleep monitoring method includes:

[0006] Real-time acquisition of user pressure distribution information monitored by array-type flexible pressure sensors;

[0007] Real-time pressure variation information is determined based on the pressure distribution information;

[0008] The user's body movement information is determined based on the real-time pressure change information, which includes whether there is body movement or no body movement.

[0009] In an optional embodiment of the present invention, the real-time acquisition of the user's pressure distribution information monitored by the array-type flexible pressure sensor includes:

[0010] The user's pressure distribution information is obtained by an array of flexible pressure sensors at multiple time points based on a preset sampling time, wherein the time interval between two adjacent time points is the preset sampling time.

[0011] Accordingly, determining real-time pressure variation information based on the pressure distribution information includes:

[0012] Real-time pressure change information is determined based on the difference between the pressure distribution information at the current time point and the pressure distribution information at the previous time point.

[0013] In an optional embodiment of the present invention, determining the user's body movement information based on the real-time pressure change information includes:

[0014] Determine whether the real-time pressure change information is greater than a preset pressure change threshold;

[0015] If so, confirm that the user's body movement information indicates that body movement has occurred;

[0016] If not, confirm that the user's body movement information is no body movement.

[0017] In an optional embodiment of the present invention, after determining the user's body movement information based on the real-time pressure change information, the method further includes:

[0018] The user's sleep state information is determined based on the user's body movement information, which includes deep sleep and light sleep.

[0019] In an optional embodiment of the present invention, determining the user's sleep state information based on the user's body movement information includes:

[0020] Based on the user's body movement information, determine whether the user has body movement within a preset time period;

[0021] If the user moves within the preset time period, the user's sleep state information is determined to be light sleep.

[0022] If the user does not move within the preset time period, the user's sleep state information is determined to be deep sleep.

[0023] In an optional embodiment of the present invention, after determining the user's sleep state information based on the user's body movement information, the method further includes:

[0024] Get the current time;

[0025] The current time is associated with the user's sleep state information, and a sleep report is generated.

[0026] Output the sleep report information.

[0027] In an optional embodiment of the present invention, after acquiring the user's pressure distribution information monitored by the array-type flexible pressure sensor in real time, the invention further includes at least one of the following:

[0028] The user's turning-over information is determined based on the pressure distribution information, which includes whether the user has turned over or not.

[0029] The user's sleeping posture information is determined based on the pressure distribution information, which includes lying flat and sleeping on one's side.

[0030] In an optional embodiment of the present invention, the array-type flexible pressure sensor includes multiple pressure monitoring points, and the pressure distribution information includes point value information and location information of the multiple pressure monitoring points; determining the user's turning-over information based on the pressure distribution information includes:

[0031] The point value information of multiple pressure monitoring points is compared in real time to obtain the maximum pressure monitoring point, which is the pressure monitoring point with the largest point value information.

[0032] Determine whether the location information of the maximum pressure monitoring point at the current time point is the same as the location information of the maximum pressure monitoring point at the previous time point;

[0033] If they are the same, determine that the user's recovery information is that the user did not recover;

[0034] If they are not the same, the user's turnaround information is determined to be a user turnaround.

[0035] In an optional embodiment of the present invention, after determining the user's turning-over information based on the pressure distribution information, the method further includes:

[0036] Determine the user's sleep time period;

[0037] The number of times a user turns over is obtained by analyzing the user's turning-over information during the user's sleep period.

[0038] In an optional embodiment of the present invention, determining the user's sleeping posture information based on the pressure distribution information includes:

[0039] A pressure distribution pattern is determined based on the pressure distribution information;

[0040] The user's sleeping posture information is determined based on the pressure distribution graph and the preset sleeping posture graph.

[0041] According to another aspect of the present invention, a sleep monitoring device is provided, the sleep monitoring device comprising an array of flexible pressure sensors, a device body, and a control module;

[0042] Both the array-type flexible pressure sensor and the control module are mounted on the device body.

[0043] The control module is electrically connected to the array-type flexible pressure sensor, and the control module is used to execute the sleep monitoring method described in any embodiment of the present invention.

[0044] The technical solution of this invention acquires user pressure distribution information monitored by an array of flexible pressure sensors in real time, then determines real-time pressure change information based on the pressure distribution information, and finally determines user body movement information based on the real-time pressure change information. The user body movement information includes the presence of body movement and the absence of body movement. Therefore, it can detect user body movement information without direct contact with the user. Compared with the prior art of using smart bracelets or smartwatches as sleep monitoring devices to monitor body movement, the values ​​detected by smart bracelets or smartwatches are not accurate enough when they are fastened or loosened. Therefore, this solution is more accurate in monitoring user body movement, solving the problem of inaccurate body movement monitoring by using smart bracelets or smartwatches as sleep monitoring devices. At the same time, it is less affected by external interference and reduces costs.

[0045] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0046] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0047] Figure 1 This is a flowchart of a sleep monitoring method provided in Embodiment 1 of the present invention;

[0048] Figure 2 This is a flowchart of a sleep monitoring method provided in Embodiment 2 of the present invention;

[0049] Figure 3 This is a flowchart of a sleep monitoring method provided in Embodiment 3 of the present invention;

[0050] Figure 4 This is a flowchart of a sleep monitoring method provided in Embodiment 4 of the present invention;

[0051] Figure 5 This is a schematic diagram of the structure of a sleep monitoring device provided in Embodiment 5 of the present invention;

[0052] Figure 6 This is a circuit block diagram of a sleep monitoring device provided in Embodiment 5 of the present invention;

[0053] Figure 7 This is a top view of an array-type flexible pressure sensor provided in Embodiment 5 of the present invention;

[0054] Figure 8 This is a bottom view of an array-type flexible pressure sensor provided in Embodiment 5 of the present invention;

[0055] Figure 9 This is a top view of an array-type pressure sensor provided in Embodiment 5 of the present invention to highlight pressure monitoring points.

[0056] The components include: 1. Device body; 2. Array-type flexible pressure sensor; 21. Upper electrode layer; 22. Dielectric layer; 23. Lower electrode layer; 24. Parallel electrode strip; 25. Pressure monitoring point; 3. Control module. Detailed Implementation

[0057] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0058] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or system that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or systems.

[0059] Example 1

[0060] Figure 1 This is a flowchart of a sleep monitoring method provided in Embodiment 1 of the present invention. This embodiment is applicable to situations where user sleep is monitored. The sleep monitoring method is used in a sleep monitoring device, which includes a device body and an array of flexible pressure sensors. The device body is used for the user to lie down, and the array of flexible pressure sensors is disposed on the device body to monitor the user's pressure and obtain pressure distribution information. The sleep monitoring device may also include a control module, which can execute the method. The control module can be implemented in hardware and / or software and can be configured within the sleep monitoring device. Figure 1As shown, this sleep monitoring method includes:

[0061] S110: Real-time acquisition of user pressure distribution information monitored by array-type flexible pressure sensors.

[0062] Among them, the array-type flexible pressure sensor is a sensor made of flexible material used to detect the magnitude and distribution of pressure when objects come into contact with each other. Because the array-type flexible pressure sensor is mounted on the device body, even if the user does not directly contact the array-type flexible pressure sensor when lying on the device body, the user will still apply pressure to the array-type flexible pressure sensor due to their own weight. Pressure distribution information refers to the information reflecting the pressure values ​​applied to different locations of the array-type flexible pressure sensor on the device body when the user lies on the device body.

[0063] Preferably, the array-type flexible pressure sensor may include multiple pressure monitoring points forming an array. Each pressure monitoring point includes a pressure sensor capable of detecting pressure values. In this case, the pressure distribution information includes point value information and location information for multiple pressure monitoring points. The point value information is the pressure value at that pressure monitoring point, and the location information is the position of that pressure monitoring point on the array-type flexible pressure sensor. For example, if multiple pressure monitoring points are arranged in an array, the position of the pressure monitoring points can be reflected by coordinates, and the location information in this case is the coordinate value.

[0064] S120. Determine real-time pressure change information based on the pressure distribution information.

[0065] Among them, real-time pressure change information refers to information that reflects changes in pressure distribution.

[0066] S130. Determine user body movement information based on the real-time pressure change information, wherein the user body movement information includes the presence of body movement and the absence of body movement.

[0067] Among them, user body movement information refers to information reflecting whether the user is moving. Since the user is moving, different pressures will be applied to different positions of the array flexible pressure sensor at different times, that is, the pressure distribution information will change. Real-time pressure change information refers to information reflecting the change of pressure distribution information. Therefore, user body movement information can be determined based on the real-time pressure change information.

[0068] The above solution acquires user pressure distribution information from an array of flexible pressure sensors in real time, then determines real-time pressure changes based on this information, and finally determines user body movement information based on this real-time pressure change information. This body movement information includes both present and absent body movement. Therefore, it can detect user body movement without direct contact. Compared to existing technologies that use smart bracelets or smartwatches as sleep monitoring devices, where the detected values ​​become inaccurate when the bracelet or watch is fastened or loosened, this solution provides more accurate monitoring of user body movement, solving the problem of inaccurate body movement monitoring using smart bracelets or smartwatches as sleep monitoring devices. It is also less susceptible to external interference and reduces costs.

[0069] Example 2

[0070] Figure 2 This is a flowchart of a sleep monitoring method provided in Embodiment 2 of the present invention. This embodiment improves upon Embodiment 1 in relation to the previous embodiments. Optionally, the real-time acquisition of user pressure distribution information monitored by an array of flexible pressure sensors includes: acquiring user pressure distribution information monitored by an array of flexible pressure sensors at multiple time points based on a preset sampling time, wherein the time interval between two adjacent time points is the preset sampling time; correspondingly, the determination of real-time pressure change information based on the pressure distribution information includes: determining real-time pressure change information based on the difference between the pressure distribution information at the current time point and the pressure distribution information at the previous time point. In an optional embodiment of the present invention, the determination of user body movement information based on the real-time pressure change information includes: determining whether the real-time pressure change information is greater than a preset pressure change threshold; if yes, determining that the user body movement information indicates the presence of body movement; if no, determining that the user body movement information indicates no body movement. Based on this, as... Figure 2 As shown, the method includes:

[0071] S210. Based on a preset sampling time, obtain the user's pressure distribution information monitored by an array of flexible pressure sensors at multiple time points, wherein the time interval between two adjacent time points is the preset sampling time.

[0072] The preset sampling time refers to the preset interval for collecting user pressure distribution information monitored by the array-type flexible pressure sensor. In this way, user pressure distribution information monitored by the array-type flexible pressure sensor at multiple different time points can be collected at intervals.

[0073] S220. Determine real-time pressure change information based on the difference between the pressure distribution information at the current time point and the pressure distribution information at the previous time point.

[0074] In this context, the current time point refers to the time corresponding to the current collection of pressure distribution information, while the previous time point refers to the time point of the last collection of pressure distribution information. Since real-time pressure change information reflects changes in pressure distribution, the difference between the pressure distribution information at the current time point and the pressure distribution information at the previous time point can determine the real-time pressure change information. Specifically, because the pressure distribution information includes point value information and location information from multiple pressure monitoring points, the real-time pressure change information can be determined based on the difference between the point value information of the pressure monitoring points at the current time point and the previous time point.

[0075] S230. Determine whether the real-time pressure change information is greater than the preset pressure change threshold.

[0076] If the real-time pressure change information is greater than the preset pressure change threshold, execute step S240 to determine that the user's body movement information is present; if the real-time pressure change information is not greater than the preset pressure change threshold, execute step S250 to determine that the user's body movement information is absent.

[0077] The preset pressure variation threshold refers to the value that the real-time pressure variation information would exceed when the user is moving. Since a user's breathing and heart rate also affect pressure even when the user is not moving, the pressure distribution information is not necessarily constant. Therefore, by setting a preset pressure variation threshold, determining whether the real-time pressure variation information exceeds the preset threshold can determine whether the user is moving. When the real-time pressure variation information exceeds the preset threshold, it indicates that the pressure distribution information is fluctuating significantly, thus indicating that the user is moving. When the real-time pressure variation information does not exceed the preset threshold, it indicates that the pressure distribution information is fluctuating only slightly, thus indicating that the user is not moving.

[0078] S240. Determine that the user's body movement information indicates that body movement exists.

[0079] S250, Determine that the user's body movement information is no body movement.

[0080] The above scheme obtains user pressure distribution information by acquiring multiple time points monitored by an array of flexible pressure sensors based on a preset sampling time. The time interval between two adjacent time points is the preset sampling time. Then, real-time pressure change information is determined based on the difference between the pressure distribution information at the current time point and the pressure distribution information at the previous time point. Finally, by determining whether the real-time pressure change information is greater than a preset pressure change threshold, user body movement information can be obtained, thereby conveniently determining whether the user is moving.

[0081] Example 3

[0082] Figure 3 This is a flowchart of a sleep monitoring method provided in Embodiment 3 of the present invention. This embodiment improves upon Embodiment 1 in relation to the previous embodiments. Optionally, after determining the user's body movement information based on the real-time pressure change information, it further includes: determining the user's sleep state information based on the user's body movement information, wherein the user's sleep state information includes deep sleep and light sleep. Optionally, after determining the user's sleep state information based on the user's body movement information, it further includes: obtaining the current time; associating the current time with the user's sleep state information and generating sleep report information; and outputting the sleep report information. Based on this, as... Figure 3 As shown, the method includes:

[0083] S310: Real-time acquisition of user pressure distribution information monitored by array-type flexible pressure sensors.

[0084] S320. Determine real-time pressure change information based on the pressure distribution information.

[0085] S330. Determine user body movement information based on the real-time pressure change information, wherein the user body movement information includes the presence of body movement and the absence of body movement.

[0086] S340. Determine the user's sleep state information based on the user's body movement information, wherein the user's sleep state information includes deep sleep and light sleep.

[0087] The user's sleep state information refers to information reflecting the user's sleep state. When the user's sleep state information is "deep sleep," it means that the user is currently in a deep sleep state; when the user's sleep state information is "light sleep," it means that the user is currently in a light sleep state. Since the user's body movement differs between deep sleep and light sleep, the user's sleep state information can be determined based on the user's body movement information.

[0088] S350, Get the current time.

[0089] Here, "current moment" refers to the specific time at present.

[0090] S360. Associate the current time with the user's sleep state information and generate sleep report information.

[0091] Among them, sleep report information refers to information reflecting the user's sleep status. By associating the current time with the user's sleep status information, the sleep report information can determine the user's sleep status at a certain time. For example, if the current time is 20:00, the user's sleep status information associated with 20:00 is deep sleep, so the sleep report information can tell that the user was in a deep sleep state at 20:00.

[0092] S370, Output the sleep report information.

[0093] The sleep report information can be output in various ways, such as to a display device or wirelessly transmitted to the user's smart device. In a specific embodiment, it can be output to the user's mobile APP, so that the user can know his / her sleep report information and know his / her sleep status through his / her mobile phone.

[0094] In an optional embodiment of the present invention, determining the user's sleep state information based on the user's body movement information includes:

[0095] Based on the user's body movement information, it is determined whether the user has made any body movements within a preset time period.

[0096] If the user moves within the preset time period, the user's sleep state information is determined to be light sleep.

[0097] If the user does not move within the preset time period, the user's sleep state information is determined to be deep sleep.

[0098] The preset duration refers to a pre-defined time period. Users move less during deep sleep than during light sleep. Body movement data can determine whether the user is moving. Therefore, by analyzing the user's body movement data within the preset duration, it's possible to determine if the user is moving within that timeframe. If body movement is present, the user is in light sleep; if no movement is present, the user is in deep sleep. This method allows for convenient determination of the user's sleep state, helping them understand their sleep quality.

[0099] Example 4

[0100] Figure 4 This is a flowchart of a sleep monitoring method provided in Embodiment 4 of the present invention. This embodiment improves upon Embodiment 3 in relation to the previous embodiments. Optionally, after acquiring the user's pressure distribution information monitored by the array-type flexible pressure sensor in real time, it further includes at least one of the following: determining user turning-over information based on the pressure distribution information, wherein the user turning-over information includes whether the user has turned over or not; determining user sleeping posture information based on the pressure distribution information, wherein the user sleeping posture information includes lying flat and sleeping on one's side. Based on this, as... Figure 4 As shown, the method includes:

[0101] S410: Real-time acquisition of user pressure distribution information monitored by array-type flexible pressure sensors.

[0102] S421. Determine the user's turning-over information based on the pressure distribution information, wherein the user's turning-over information includes whether the user has turned over or not.

[0103] Among them, the user turning over information refers to information reflecting whether the user has turned over. When the user turns over, the pressure distribution information will change, so the user turning over information can be determined based on the pressure distribution information.

[0104] S422. Determine the user's sleeping posture information based on the pressure distribution information, wherein the user's sleeping posture information includes lying flat and sleeping on their side.

[0105] The user's sleeping posture information refers to information reflecting the user's specific sleeping posture. When the user's sleeping posture information is "lying flat," it indicates that the user is sleeping on their back; when the user's sleeping posture information is "sleeping on their side," it indicates that the user is sleeping on their side. Since the pressure distribution applied to the array-type flexible pressure sensor varies depending on the user's sleeping posture, the user's sleeping posture information can be determined based on the pressure distribution information.

[0106] Preferably, determining the user's sleeping posture information based on the pressure distribution information includes:

[0107] A pressure distribution pattern is determined based on the pressure distribution information; the user's sleeping posture information is determined based on the pressure distribution pattern and the preset sleeping posture pattern.

[0108] The pressure distribution pattern refers to the graphic formed by pressure monitoring points that are under pressure. A certain threshold value can be set. The pressure distribution pattern is determined based on the pressure monitoring points whose value values ​​are greater than the threshold value. The threshold value refers to the value that a pressure monitoring point will exceed when it is under pressure. When the user's sleeping position is different, different pressure monitoring points will be under pressure, so the graphic formed by the pressure monitoring points under pressure will also be different.

[0109] The preset sleeping posture graphic refers to the standard graphic corresponding to a specific preset sleeping posture. By comparing the pressure distribution graphic with the preset sleeping posture graphic to determine their similarity, the user's sleeping posture information can be determined. For example, the preset sleeping posture graphic corresponding to side sleeping is A, the preset sleeping posture graphic corresponding to supine sleeping is B, and the current pressure distribution graphic is C. By determining the similarity between C and A and B, it can be determined whether the user's sleeping posture information is supine or side sleeping. For example, when the similarity between C and A is greater than 95%, it indicates that the user's sleeping posture information is side sleeping. The specific method of determining the user's sleeping posture information based on the pressure distribution graphic and the preset sleeping posture graphic is not specifically limited here; it is merely an example.

[0110] S423. Determine real-time pressure change information based on the pressure distribution information.

[0111] S433. Determine user body movement information based on the real-time pressure change information, wherein the user body movement information includes the presence of body movement and the absence of body movement.

[0112] S443. Determine the user's sleep state information based on the user's body movement information, wherein the user's sleep state information includes deep sleep and light sleep.

[0113] S453, Get the current time.

[0114] S463. Associate the current time with the user's sleep state information and generate sleep report information.

[0115] S473. Output the sleep report information.

[0116] In an optional embodiment of the present invention, the array-type flexible pressure sensor includes multiple pressure monitoring points, and the pressure distribution information includes point value information and location information of the multiple pressure monitoring points; determining the user's turning-over information based on the pressure distribution information includes:

[0117] The point value information of multiple pressure monitoring points is compared in real time to obtain the maximum pressure monitoring point, which is the pressure monitoring point with the largest point value information.

[0118] Determine whether the location information of the maximum pressure monitoring point at the current time point is the same as the location information of the maximum pressure monitoring point at the previous time point.

[0119] If they are the same, the user's recovery information is determined to be that the user has not recovered.

[0120] If they are not the same, the user's turnaround information is determined to be a user turnaround.

[0121] The point value information refers to the pressure value at the pressure monitoring point, while the location information refers to the position of the pressure monitoring point on the array-type flexible pressure sensor. For example, if multiple pressure monitoring points are arranged in an array, the position of the pressure monitoring points can be reflected by coordinates, and the location information in this case is the coordinate value.

[0122] When a user is lying down, because multiple pressure monitoring points correspond to different body positions, the pressure at different pressure monitoring points is different, and therefore the value information of different pressure monitoring points is different. The pressure monitoring point with the largest value information is the pressure monitoring point that bears the most pressure.

[0123] The pressure distribution information differs at different time points, meaning the pressure monitoring point values ​​differ. When the location information of the maximum pressure monitoring point at the current time point differs from that at the previous time point, it indicates that the location of the pressure monitoring point bearing the maximum pressure differs at different time points. This means that the user's posture may have changed, causing a shift in the center of gravity and thus changing the location of the maximum pressure monitoring point. Therefore, when the location information of the maximum pressure monitoring point at the current time point differs from that at the previous time point, it indicates that the user has turned over. When the location information of the maximum pressure monitoring point at the current time point is the same as that at the previous time point, it indicates that the user has not turned over.

[0124] The above methods can be used to easily monitor whether a user has turned over.

[0125] In an optional embodiment of the present invention, after determining the user's turning-over information based on the pressure distribution information, the method further includes:

[0126] Determine the user's sleep time period.

[0127] The number of times a user turns over is obtained by analyzing the user's turning-over information during the user's sleep period.

[0128] The user's sleep time period refers to the time during which the user is asleep. This period can be monitored by an array of flexible pressure sensors or preset by the user. For example, when a user is asleep, they lie on the device with minimal body movement. Therefore, pressure distribution information can be used to determine if the user is asleep. For instance, when the pressure distribution information changes from zero to positive, it indicates that the user has begun lying on the device. At this point, body movement information is used to determine if the user is moving. If the user is not moving, it means the user has entered sleep mode. When the pressure distribution information disappears, it indicates that the user has left the device, meaning the user has ended sleep. The user's sleep time period can be determined based on the timing of these two events.

[0129] The number of times a user turns over is information that reflects how many times a user turns over. Since the information reflects whether a user turns over, the number of times a user turns over during their sleep period can be counted to obtain the number of times a user turns over.

[0130] Example 5

[0131] Figure 5 This is a schematic diagram of a sleep monitoring device provided in Embodiment 5 of the present invention. Figure 6 This is a circuit block diagram of a sleep monitoring device provided in Embodiment 5 of the present invention, as shown below. Figure 5 and Figure 6As shown, the sleep monitoring device includes an array of flexible pressure sensors 2, a device body 1, and a control module 3.

[0132] Both the array-type flexible pressure sensor 2 and the control module 3 are mounted on the device body 1.

[0133] The control module 3 is electrically connected to the array-type flexible pressure sensor 2, and the control module 3 is used to execute the sleep monitoring method of any embodiment of the present invention.

[0134] Among them, device body 1 refers to the main part of the sleep monitoring device. The device body 1 is different depending on the type of sleep monitoring device. For example, when the sleep monitoring device is a sleep monitoring mat, device body 1 is the main part of the sleep monitoring mat. When the sleep monitoring device is a smart mattress, device body 1 is the main part of the smart mattress.

[0135] The control module 3 includes at least one processor and a memory, such as a read-only memory (ROM) or a random access memory (RAM), communicatively connected to the at least one processor. The memory stores computer programs executable by the at least one processor. The processor can perform various appropriate actions and processes based on the computer programs stored in the ROM or loaded from memory units into the RAM. The RAM may also store various programs and data required for the operation of the sleep monitoring device. The processor, ROM, and RAM are interconnected via a bus.

[0136] The processor can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processors include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor performs the various methods and processes described above, such as sleep monitoring methods. Alternatively, in other embodiments, the processor may be configured to perform sleep monitoring methods by any other suitable means (e.g., by means of firmware).

[0137] The array-type flexible pressure sensor 2 is a sensor made of flexible material used to detect the magnitude and distribution of pressure when objects come into contact with each other. Since the array-type flexible pressure sensor 2 is mounted on the device body 1, even if the user does not directly contact the array-type flexible pressure sensor 2 while lying on the device body 1, the user will still exert pressure on the array-type flexible pressure sensor 2 due to their own weight. Pressure distribution information refers to the information reflecting the pressure values ​​applied to different locations of the array-type flexible pressure sensor 2 on the device body 1 when the user is lying on the device body 1.

[0138] The above solution allows for the detection of user pressure distribution information without direct contact with the user via an array of flexible pressure sensors 2. The control module 3 then acquires this pressure distribution information in real time, determines real-time pressure changes based on the pressure distribution information, and finally determines user body movement information based on these changes. This body movement information includes both present and absent movements. Therefore, it can detect user body movement without direct contact. Compared to existing technologies that use smart bracelets or smartwatches as sleep monitoring devices, where the detected values ​​become inaccurate when the bracelet or watch is fastened or loosened, this solution provides more accurate monitoring of user body movement, solving the problem of inaccurate body movement monitoring using smart bracelets or smartwatches as sleep monitoring devices.

[0139] Preferred, such as Figures 7-9 As shown, the array-type flexible pressure sensor 2 may include multiple pressure monitoring points 25 arranged in an array. Each pressure monitoring point 25 includes a pressure sensor capable of detecting pressure values. The pressure distribution information includes the point value information and location information of the multiple pressure monitoring points 25. The point value information is the pressure value at that pressure monitoring point 25, and the location information is the position of that pressure monitoring point 25 on the array-type flexible pressure sensor 2. For example, if multiple pressure monitoring points 25 are arranged in an array, their positions can be reflected by coordinates; in this case, the location information is the coordinate value.

[0140] Preferred, such as Figures 7-9As shown, the array-type flexible pressure sensor 2 includes an upper electrode layer 21, a dielectric layer 22, and a lower electrode layer 23. Both the upper electrode layer 21 and the lower electrode layer 23 include multiple parallel electrode strips 24. The parallel electrode strips 24 of the upper electrode layer 21 and the lower electrode layer 23 intersect perpendicularly in space, forming a capacitor unit at the intersection. This capacitor unit is the pressure monitoring point 25, thus enabling the formation of multiple arrayed pressure monitoring points 25. The parallel electrode strips 24 are conductors, and their width and spacing can be designed according to different measurement needs. The capacitor unit formed at the intersection of the parallel electrode strips 24 of the upper electrode layer 21 and the lower electrode layer 23 increases in pressure, resulting in a larger capacitance value and thus enabling the detection of the pressure value. The detected pressure value is the point value information of the pressure monitoring point 25.

[0141] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0142] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A sleep monitoring method for a sleep monitoring device, the sleep monitoring device comprising a device body and an array of flexible pressure sensors, the device body being for a user to lie on, the array of flexible pressure sensors being disposed on the device body for monitoring the user's pressure to obtain pressure distribution information; characterized in that, The sleep monitoring method includes: Real-time acquisition of user pressure distribution information monitored by array-type flexible pressure sensors; Real-time pressure variation information is determined based on the pressure distribution information; The user's body movement information is determined based on the real-time pressure change information, and the user's body movement information includes whether there is body movement or no body movement. After acquiring the user's pressure distribution information monitored by the array-type flexible pressure sensor in real time, the method further includes at least one of the following: The user's turning-over information is determined based on the pressure distribution information, which includes whether the user has turned over or not. The user's sleeping posture information is determined based on the pressure distribution information, which includes lying flat and sleeping on one's side. The array-type flexible pressure sensor includes multiple pressure monitoring points, and the pressure distribution information includes the point value information and location information of the multiple pressure monitoring points; determining the user's turning over information based on the pressure distribution information includes: The point value information of multiple pressure monitoring points is compared in real time to obtain the maximum pressure monitoring point, which is the pressure monitoring point with the largest point value information. Determine whether the location information of the maximum pressure monitoring point at the current time point is the same as the location information of the maximum pressure monitoring point at the previous time point; If they are the same, determine that the user's recovery information is that the user did not recover; If they are not the same, the user's turnaround information is determined to be a user turnaround; The step of determining the user's sleeping posture information based on the pressure distribution information includes: A pressure distribution pattern is determined based on the pressure distribution information; the user's sleeping posture information is determined based on the similarity between the pressure distribution pattern and the preset sleeping posture pattern.

2. The sleep monitoring method according to claim 1, characterized in that, The real-time acquisition of user pressure distribution information monitored by the array-type flexible pressure sensor includes: The user's pressure distribution information is obtained by an array of flexible pressure sensors at multiple time points based on a preset sampling time, wherein the time interval between two adjacent time points is the preset sampling time. Accordingly, determining real-time pressure variation information based on the pressure distribution information includes: Real-time pressure change information is determined based on the difference between the pressure distribution information at the current time point and the pressure distribution information at the previous time point.

3. The sleep monitoring method according to claim 2, characterized in that, The determination of user body movement information based on the real-time pressure change information includes: Determine whether the real-time pressure change information is greater than a preset pressure change threshold; If so, confirm that the user's body movement information indicates that body movement has occurred; If not, confirm that the user's body movement information is no body movement.

4. The sleep monitoring method according to any one of claims 1 to 3, characterized in that, After determining the user's body movement information based on the real-time pressure change information, the method further includes: The user's sleep state information is determined based on the user's body movement information, which includes deep sleep and light sleep.

5. The sleep monitoring method according to claim 4, characterized in that, The step of determining the user's sleep state information based on the user's body movement information includes: Based on the user's body movement information, determine whether the user has body movement within a preset time period; If the user moves within the preset time period, the user's sleep state information is determined to be light sleep. If the user does not move within the preset time period, the user's sleep state information is determined to be deep sleep.

6. The sleep monitoring method according to claim 4, characterized in that, After determining the user's sleep state information based on the user's body movement information, the method further includes: Get the current time; The current time is associated with the user's sleep state information, and a sleep report is generated. Output the sleep report information.

7. The sleep monitoring method according to claim 1, characterized in that, After determining the user's turning-over information based on the pressure distribution information, the process further includes: Determine the user's sleep time period; The number of times a user turns over is obtained by analyzing the user's turning-over information during the user's sleep period.

8. A sleep monitoring device, characterized in that: Includes an array of flexible pressure sensors, the device body, and a control module; Both the array-type flexible pressure sensor and the control module are mounted on the device body. The control module is electrically connected to the array-type flexible pressure sensor, and the control module is used to perform the sleep monitoring method according to any one of claims 1-7.

Citation Information

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