Intelligent sleep posture adjusting method, system and device

Abstract

The invention provides an intelligent sleep posture adjusting method, system and device, and belongs to the technical field of health monitoring. The method comprises the following steps: S1, collecting brain wave information of a user in a sleep behavior process; s2, judging whether the user is in a sleep state or not according to the brain wave information; s3, when it is judged that the user is in the sleep state, optimal sleep posture information of the user is determined, and the optimal sleep posture information is obtained based on historical sleep data of the user; s4, collecting the current sleep posture of the user; generating an adjustment step scheme for changing from the current sleep posture to the optimal sleep posture based on the difference between the current sleep posture and the optimal sleep posture; and S5, adjusting the sleep posture of the user based on the adjustment step scheme, so that the sleep posture of the user is consistent with the optimal sleep posture. According to the invention, dynamic adjustment can be carried out according to personal sleep habits and demands, the sleep posture of the user is adjusted, and personalized sleep experience is provided.

Description

Technical Field

[0001] The present invention belongs to the technical field of health monitoring, and particularly relates to an intelligent sleep posture adjustment method, system and device. Background Art

[0002] During sleep, common sleep postures include supine, side-lying and prone. Each posture has different support requirements for the neck and spine. For example, when lying supine, a moderate height of the head position can maintain the natural curve of the cervical spine, while too high or too low a head position may cause neck pain or discomfort; when lying on the side, sufficient height needs to be provided to fill the gap between the head and the shoulder to ensure the straightness of the spine; and the prone position is generally not recommended because this posture is likely to cause neck distortion.

[0003] In addition, sleep posture not only affects the body comfort, but is also closely related to a person's sleep condition. A good sleep posture helps to reduce snoring, increase the proportion of deep sleep, and reduce the number of awakenings, thus improving the overall sleep quality. On the contrary, inappropriate postures and insufficiently supported devices may lead to sleep disorders, increased fatigue and decreased daytime function.

[0004] Regarding the improvement of sleep state, although there have been significant progress in the directions of materials and designs, it mainly focuses on providing basic support and comfort, lacking the ability to monitor the user's sleep posture and sleep state, and unable to dynamically adjust according to the person's sleep posture, resulting in the inability to effectively cope with the impact of posture changes on sleep quality during sleep.

[0005] In summary, how to provide a method capable of adjusting sleep posture is a technical problem that urgently needs to be solved at present. Summary of the Invention

[0006] The purpose of the present invention is to overcome the deficiencies of the prior art, and provides an intelligent sleep posture adjustment device, method and system, which can generate an adjustment step plan for changing from the current sleep posture to the optimal sleep posture based on the user's current sleep posture and combined with historical sleep data, adjust the user's sleep posture so that the user's sleep posture is consistent with the optimal sleep posture, and comprehensively improve sleep quality.

[0007] The present invention provides an intelligent sleep posture adjustment method, including the following steps: S1 Collect the user's brain wave information during the sleep behavior process; S2 Determine whether the user is in a sleep state according to the brain wave information; S3 When it is determined that the user is in a sleep state, determine the optimal sleep posture information of the user, and the optimal sleep posture information is obtained based on the user's historical sleep data; S4 acquires the user's current sleeping posture; based on the difference between the current sleeping posture and the optimal sleeping posture, a scheme for adjustment steps to change from the current sleeping posture to the optimal sleeping posture is generated; S5 adjusts the user's sleeping posture based on the adjustment step scheme so that the user's sleeping posture is consistent with the optimal sleeping posture.

[0008] Furthermore, the historical sleep data described in S3 includes sleeping posture, posture duration, number of awakenings, deep sleep duration and light sleep duration, and physiological data; The determination of the optimal sleeping posture includes scoring the sleep quality corresponding to each sleeping posture and the health of the physiological curve; The sleep quality scoring includes scoring based on the number of awakenings of the user in each sleeping posture, the ratio of deep sleep duration to light sleep duration, posture duration, and physiological data; The physiological curve health scoring includes obtaining the difference by comparing each sleeping posture with each standard sleeping posture in the preset database, and scoring based on the difference; The sleep quality score and the physiological curve health score are added together, or weighted and calculated, to obtain the total score of this sleeping posture; the sleeping posture with the highest total score is selected as the optimal sleeping posture.

[0009] Furthermore, S5 includes adjusting at least one of the shape, contact height, contact angle, and contact position of the contact surface of the device body corresponding to the user's head.

[0010] The present invention provides an intelligent sleeping posture adjustment device for implementing the intelligent sleeping posture adjustment method described in any one of the above, including a device body, and the device body includes: The electroencephalogram acquisition structure is used to acquire the electroencephalogram information of the user during the sleep behavior process; The sleeping posture acquisition structure is used to acquire the user's current sleeping posture; The controller is used to determine the optimal sleeping posture information of the user based on the electroencephalogram information of the user, and the optimal sleeping posture information is obtained based on the historical sleep data of the user; the controller generates a scheme for adjustment steps to change from the current sleeping posture to the optimal sleeping posture based on the difference between the current sleeping posture and the optimal sleeping posture; The sleeping posture adjustment structure is used to make the sleeping posture of the user consistent with the posture in the optimal sleeping posture based on the adjustment step scheme sent by the controller.

[0011] Furthermore, the sleeping posture acquisition structure includes a posture sensor, and the posture sensor includes at least a pressure sensor; The aforementioned controller is used to identify the user's current sleeping posture based on the acquisition result of the posture sensor.

[0012] Further, the sleep posture adjustment structure includes a combined array structure disposed inside the device body; The combined array structure includes a base and a driving component; A plurality of adjusting rod bodies are mounted on the base in a liftable manner; The driving component is used to drive the adjusting rod bodies to lift relative to the base.

[0013] Further, the adjusting rod body is rotatably connected to the base through an angle adjustment structure; And / or, the angle adjustment structure is rotatably connected to the upper end of the adjusting rod body.

[0014] Further, the sleep posture adjustment structure includes a movable structure disposed on the lower surface of the device body, and the movable structure includes at least one wheel and / or at least one crawler; The wheels are arranged such that their rotation speeds can be adjusted; The crawlers are arranged such that their rotation speeds can be adjusted.

[0015] Further, the device body is a pillow.

[0016] The present invention provides a system adopting the intelligent sleep posture adjustment method described in any one of the above, and the system includes, The acquisition module is configured to acquire the electroencephalogram information of the sleep behavior when the user's head contacts the device, and acquire the user's current sleep posture when the user is in the sleep state; The determination module is configured to determine whether the user is in the sleep state according to the electroencephalogram information, and, when determining that the user is in the sleep state, determine the optimal sleep posture based on the user's historical sleep data; The scheme generation module is configured to generate an adjustment step scheme for changing from the current sleep posture to the optimal sleep posture based on the difference between the current sleep posture and the optimal sleep posture; The adjustment module is configured to adjust the user's sleep posture based on the adjustment step scheme so that the user's sleep posture is consistent with the posture in the optimal sleep posture.

[0017] Due to the adoption of the above technical solutions, compared with the prior art, the present invention, by way of example, has the following advantages and positive effects: It can monitor the user's sleep behavior, determine whether the user is in the sleep state, and when the user enters the sleep state, can detect the user's sleep posture mainly through external devices and assisted by posture sensors.

[0018] It can analyze the historical sleep data of the collected users to obtain the best sleep posture, and based on the difference between the best sleep posture and the user's current sleep posture, generate a corresponding adjustment step plan; adjust the user's sleep posture based on the adjustment step plan, which can make the user's sleep posture consistent with the best sleep posture, reduce the situation of waking up midway, improve the overall continuity of sleep, improve sleep quality, and reduce neck discomfort caused by improper posture, thereby comprehensively and effectively maintaining sleep.

[0019] The present invention can perform dynamic adjustment according to personal sleep habits and needs, and provide a personalized sleep experience. Brief Description of the Drawings

[0020] Figure 1 It is a flowchart of the steps of the intelligent sleep posture adjustment method provided by the present invention.

[0021] Figure 2 It is a schematic diagram of the usage process of the combined array structure provided by the present invention.

[0022] Figure 3 It is a schematic diagram of the structure of the combined array structure provided by the present invention, which is another embodiment.

[0023] Figure 4 It is a schematic diagram of the structure of the adjusting rod body provided with an angle adjusting structure provided by the present invention.

[0024] Figure 5 It is a perspective schematic diagram of the device body provided by the present invention.

[0025] Figure 6 It is a module structure diagram of the intelligent sleep posture adjustment system provided by the present invention.

[0026] Description of the Reference Numerals Device body 100; Combined array structure 200, adjusting rod body 210, arc structure 211, base 220, angle adjusting structure 230, contact plate 231; Moving structure 300. Detailed Description of the Embodiments

[0027] The following further details the technical solutions disclosed by the present invention in conjunction with the accompanying drawings and specific embodiments. It should be noted that the technical features described in the following embodiments or the combination of technical features should not be considered in isolation, and they can be combined with each other to achieve better technical effects. In the accompanying drawings of the following embodiments, the same reference numerals appearing in each drawing represent the same features or components, which can be applied to different embodiments. Therefore, once an item is defined in one drawing, it does not need to be further discussed in the subsequent drawings.

[0028] It should be noted that the structures, proportions, sizes, etc. shown in the drawings of this specification are only used to cooperate with the content disclosed in the specification for those familiar with this technology to understand and read, and are not used to limit the conditions under which the invention can be implemented. Any modification of the structure, change in the proportional relationship, or adjustment of the size, without affecting the efficacy that the invention can produce and the purpose that can be achieved, should fall within the scope covered by the technical content disclosed by the invention. The scope of the preferred implementation mode of the present invention includes additional implementations, in which the functions can be executed in a substantially simultaneous manner or in the reverse order according to the functions involved, rather than in the order described or discussed. This should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0029] Technologies, methods, and devices known to those of ordinary skill in the relevant fields may not be discussed in detail, but where appropriate, such technologies, methods, and devices should be regarded as part of the specification. In all the examples shown and discussed here, any specific values should be construed as merely exemplary and not as a limitation. Therefore, other examples of the exemplary embodiments may have different values.

[0030] The present invention provides an intelligent sleep posture adjustment device, including a device body 100.

[0031] The device body 100 includes: The electroencephalogram acquisition structure (not shown in the figure) is used to acquire the electroencephalogram information of the user during sleep behavior and determine the sleep state of the user.

[0032] The electroencephalogram acquisition structure is used to acquire the electroencephalogram information of the user during the sleep behavior and determine the sleep state of the user.

[0033] The sleep behavior here refers to the behavior of the user putting their head on the device. At this time, the user may be in a waking non-sleep state or an unconscious sleep state.

[0034] As a typical implementation mode, the electroencephalogram acquisition structure includes an electrode array, the electrode array, a signal amplifier, and an analog-to-digital converter; Among them, the electrode array includes a plurality of electrodes arranged on the surface of the device body 100 in an array form, and the electrodes can be dry electrodes and / or wet electrodes.

[0035] Dry electrodes are usually made of conductive materials such as silver or copper, and the surface is coated with a conductive polymer. Such electrodes do not require additional conductive glue or electrolyte during use, are suitable for long-term use, and are relatively simple to clean and maintain. Wet electrodes need to be used in conjunction with an electrolyte or conductive glue and are usually composed of a metal material and a conductive liquid. Such electrodes are more sensitive in signal conduction and are suitable for occasions that require high-precision signal monitoring.

[0036] The electrode array should cover at least the non-edge area of the device so as to effectively capture bioelectric signals in different sleeping postures.

[0037] Furthermore, more electrodes can be arranged on the device body 100 in the areas corresponding to the head and neck regions contacting the user, especially at the key support points related to the spine and cervical vertebrae, to comprehensively monitor the electrical signals in the head and neck regions.

[0038] Brain wave signals are electrical signals generated by the activities of brain neurons, but the muscle activities in the neck, such as the tension or relaxation of neck muscles, can also generate electrical signals. These signals may interfere with the recording of brain waves. Therefore, monitoring the electrical signals in the neck region can help distinguish these signals and improve the accuracy of monitoring.

[0039] Moreover, by simultaneously monitoring the brain waves and the electrical signals in the neck region, more comprehensive data analysis can be carried out to understand the user's sleep condition.

[0040] To avoid discomfort to the user caused by the electrode array, a flexible protective layer covering the electrodes can be provided, and the protective layer can improve the comfort level while reducing the impact on the detection accuracy of the electrodes.

[0041] Specifically, taking dry electrodes as an example, thin and light conductive materials can be selected, such as polystyrene (PS) and polyurethane (PU).

[0042] The signal amplifier (not shown in the figure) is arranged inside the device body 100 to amplify the brain wave signals collected by the electrode array. The signal amplifier is arranged inside the device body 100 to amplify the brain wave signals collected by the electrode array. Then, the brain wave signals are converted into digital signals via the analog-to-digital converter.

[0043] The controller is used to process and analyze the digital signals, perform operations such as filtering, feature extraction, and classification on the digital signals, and identify different brain waves including alpha waves, beta waves, theta waves, etc.

[0044] Specifically, if the identified brain waves are mainly theta waves and alpha waves and show a gradually decreasing trend, it means that the user is in a light sleep state.

[0045] If the identification result includes sleep spindle waves and K-complex waves and theta waves still dominate, it means that the user has entered the second stage of non-rapid eye movement sleep.

[0046] If the identification result is mainly dominated by delta waves, indicating deep sleep, it means that the user has entered the third stage of non-rapid eye movement sleep.

[0047] When the user is awake, that is, with the user's head placed on the device but with eyes open, or with the user's eyes closed but not asleep, the brain wave signals will mainly exhibit the activities of beta waves and alpha waves.

[0048] Based on the recognition results, the controller determines the sleep state corresponding to each brain wave. When the user is in a sleep state, the optimal sleep posture is determined accordingly; the controller generates an adjustment step plan for changing from the current sleep posture to the optimal sleep posture based on the difference between the current sleep posture and the optimal sleep posture. The content of this part of the controller will be elaborated in detail in the subsequent method description.

[0049] The sleep posture acquisition structure (not shown in the figure) is used to acquire the user's current sleep posture. As a typical implementation, the sleep posture acquisition structure includes a posture sensor, and the posture sensor includes at least a pressure sensor.

[0050] Taking the pressure sensor as an example, when the user's head is on the device, the position where the head contacts the device will exert a downward pressure on the device, and this pressure can be detected by the pressure sensor under the surface of the device body 100. Based on the detected pressure position and the magnitude of the detected pressure value, the specific position of the user's head on the device and the user's current posture can be determined.

[0051] The aforementioned controller is used to identify the user's current sleep posture based on the acquisition results of the posture sensor. Specifically, if the pressure sensor detects that the head is in the central position of the device and the pressure is evenly distributed, it indicates that the user may be in a supine state.

[0052] If the pressure sensor receives a larger pressure on one side and a smaller pressure on the other side, it can be inferred that the user is in a side-lying state.

[0053] If the pressure in the front is larger and the pressure in the back is smaller, it may indicate that the user is in a prone state.

[0054] In addition, when the user changes the posture, the detection result of the pressure sensor will change from the first detection result to the second detection result. Record the time point of the change, extract the earliest time point of obtaining the first detection result, and obtain the time length for which the user maintains a certain sleep posture from the interval between these two time points.

[0055] Combined with the data, the change of the user's sleep cycle can be analyzed, such as the deep sleep and light sleep stages, to help evaluate the overall sleep quality.

[0056] The sleep posture data acquired by the sleep posture acquisition structure is one of the reference data, not all the data source references.

[0057] The current sleeping posture can also be collected through external devices, such as the image data collected by a camera in the user's room, wearable devices including smart watches and health bracelets, and programs related to sleep health on mobile terminal devices.

[0058] The data of the external device is signal-connected to the controller of the device body 100, and the data is transmitted to the controller. The controller combines the data of the external device and the sleeping posture data collected by the sleeping posture acquisition structure, and summarizes and analyzes to obtain the user's current sleeping posture.

[0059] The sleeping posture adjustment structure is used to make the user's sleeping posture consistent with the posture in the optimal sleeping posture based on the adjustment step plan sent by the controller.

[0060] The sleeping posture adjustment structure includes a combined array structure 200 arranged inside the device body 100, as Figure 2 shown.

[0061] The combined array structure 200 includes a base 220, and a plurality of adjusting rod bodies 210 are installed on the base 220 so as to be able to lift; the lifting of the adjusting rod bodies 210 can be achieved by adopting one of the following: The adjusting rod body 210 is set to be telescopic, and it is lifted and lowered by telescoping; Electrically driven lifting, such as a DC motor or a stepping motor, cooperating with a gear transmission system or a lead screw lifting mechanism, and the lifting of the adjusting rod body 210 is achieved by controlling the rotation of the motor.

[0062] Pneumatic or hydraulic driven lifting, using a cylinder or a hydraulic cylinder as a lifting device, and the lifting of the adjusting rod body 210 is pushed by the pressure of gas or liquid.

[0063] Threaded lifting, a threaded rod is arranged on the base 220, and a corresponding threaded hole is designed inside the adjusting rod body 210, and the lifting is achieved by rotating the threaded rod.

[0064] Other ways such as spring and magnetic drive can also be used to achieve lifting, and will not be elaborated one by one.

[0065] As Figure 5 shown, when a certain adjusting rod body 210 in the combined array rises, it can lift the surface of a part of the device body 100 in contact with the adjusting rod body 210, resulting in a change in the angle or curvature of the support surface, forming a higher support point, and the surface of the device will be deformed to generate an upwardly bulging shape, which may be manifested as a slope or an arc structure 211.

[0066] The user's head on this part of the surface will be raised, and the change in the position of the head will also cause a corresponding change in the neck angle.

[0067] According to the different heights of the adjusting rod body 210 rising, different surface shape changes of the support surface will occur, resulting in an upward convex or downward concave shape. Among them, the downward concave shape is mainly caused by the relative height difference between different adjusting rod bodies 210.

[0068] Specifically, for example, in the initial state, the user's head is originally placed on the device body 100 with a left tilt, and the left ear is slightly lower than the right ear. The neck is relatively horizontal and slightly tilted to the right, resulting in an angle of approximately 20 degrees between the head and the neck. The overall head is relatively lower than the neck, and the relative angle between the head and the neck is 20 degrees.

[0069] By combining the height changes of the array, the device body 100 forms an inclined plane with a lower right side and a higher left side. The user's sleeping posture changes accordingly, specifically manifested as: the head position changes from a left tilt to a tendency towards a horizontal position, the tilt angle on the left side decreases, the relative angle between the head and the neck changes from 20 degrees to 10 degrees, the relative height difference between the head and the neck gradually decreases, and the user's head is closer to the height of the neck.

[0070] The adjusting rod body 210 can be made of elastic materials such as rubber and elastic sponge, or a combination of hard and soft materials can also be used. The part of the adjusting rod body 210 close to the base 220 is made of hard material, and the part close to the surface of the device body 100 is made of flexible material.

[0071] Furthermore, as Figure 3 and 5 shown, a soft arc-shaped structure 211 is provided on the top end of the adjusting rod body 210 to avoid sharp corners and reduce the discomfort that may be caused by contacting the user's head.

[0072] Furthermore, as Figure 4 shown, the adjusting rod body 210 is rotationally connected to the base 220 through an angle adjustment structure 230, so that the angle between the adjusting rod body 210 and the base 220 can be adjusted, thereby enabling the adjusting rod body 210 to rise and fall obliquely relative to the horizontal plane. By combining the height adjustment and the angle adjustment, more comprehensive adjustability is provided, which can better meet the user's needs for adjusting the sleeping posture.

[0073] The angle adjustment structure 230 can select functional components such as spherical connectors, hinge connectors, rotary locking mechanisms, ball socket connectors, etc.

[0074] And / or, the angle adjustment structure 230 is rotationally connected to the upper end of the adjusting rod body 210, that is, an angle adjustment structure 230 is provided between the adjusting rod body 210 and the surface of the device body 100.

[0075] As Figure 4As shown, further, the angle adjustment structure 230 here also includes a contact plate 231 arranged on the functional component, such as a contact plate 231 arranged on the spherical connector, and the contact plate 231 has a loading surface, providing a stable support surface, which can contact and support the user's head or neck area through the upper surface of the device body 100 after the adjustment rod body 210 rises; and can also drive the supported user's head or neck area to change position relative to the upper surface of the device body 100 through the movement of the loading surface when the angle adjustment structure 230 rotates relative to the adjustment rod body 210. When adjusting the sleeping position or angle, the contact plate 231 can achieve more flexible adaptability.

[0076] Furthermore, if Figure 5 As shown, a movable structure 300 is arranged under the device body 100, and the movable structure 300 includes at least one wheel and / or at least one track. The movable structure 300 enables the device body 100 to move directly on the bed, driving the user's head to change position.

[0077] Or the position relative to the user's head changes. Specifically, for example, when the user's head is lifted relative to the upper surface of the device body 100 by a portion of the adjustment rods 210 in the combined array structure 200, the movable structure 300 drives the device body 100 to move, and the adjustment rods 210 also move with the movable structure 300. The user's head is relatively heavy, and the user is usually in a static state on the bed. Therefore, during the movement of the movable structure 300, the user's head may slide off the adjustment rod 210 that it originally contacted, and then contact other adjustment rods 210, resulting in a change in the relative position between the user's head and the device body 100.

[0078] By designing multiple contact points of the adjustment rod 210, the user's head can be supported when the head is transferred to other adjustment rods 210, thereby reducing discomfort, and helping the user's head to obtain more stable support during movement.

[0079] The wheels are configured to have an adjustable rotational speed; and the tracks are configured to have an adjustable rotational speed.

[0080] In a specific implementation, the active structures 300 located at different positions on the device body 100 can be set to have inconsistent rotation speeds. For example, the rotation speed of the active structure 300 on the left side is high, and the rotation speed of the active structure 300 on the right side is low. The device body 100 can move in a curve rather than a straight line, which can reduce the pressure on the user's neck and head and make the user feel more natural during movement.

[0081] The device body described above is a pillow.

[0082] like Figure 1As shown in the figure, the present invention provides an intelligent sleep posture adjustment method implemented by an intelligent sleep adjustment device as described above, including the following steps: S1 During the sleep behavior of the user's head contacting the device, collect the user's brain wave information. This part is implemented by the brain wave collection structure of the intelligent sleep adjustment device described above.

[0083] S2 According to the brain wave information, determine whether the user is in a sleep state.

[0084] This part is determined by the controller based on the brain wave information sent by the brain wave collection structure.

[0085] S3 If it is determined that the user is in a sleep state, trigger the best sleep posture determination process. The sleep posture determination process includes determining the best sleep posture based on the user's historical sleep data.

[0086] Determining the best sleep posture in S3 includes obtaining the user's historical sleep data, and the historical sleep data includes sleep postures, posture durations, awakening times, deep sleep durations, and light sleep durations.

[0087] The main data sources are combined with external devices, such as image data collected by a camera in the user's room, wearable devices including smart watches and health bracelets, and programs related to sleep health on mobile terminal devices.

[0088] The data of the external device is signal-connected to the controller of the device body 100, and the data is transmitted to the controller for summarization to form historical sleep data.

[0089] In addition, the sleep posture and posture duration can be collected and recorded by the sleep posture collection structure as auxiliary data references, and the awakening times, deep sleep durations, and light sleep durations can all be collected and recorded by the brain wave collection structure.

[0090] Evaluate the sleep quality corresponding to each sleep posture.

[0091] The sleep quality corresponding to the sleep posture is mainly evaluated from the following aspects: First, the maintenance duration of this sleep posture. The longer the maintenance time, it may indicate that the user has a higher degree of comfort and habit for this posture, and it may also reflect the adaptability of this posture.

[0092] Second, the sleep quality of the user in this sleep posture is mainly evaluated by the depth of the user's sleep and the user's awakening times. The higher the proportion of deep sleep and the fewer the awakening times, the higher the sleep quality. Other factors can also consider the user's physiological data in this sleep posture, such as heart rate, breathing, body relaxation degree, etc.

[0093] Score each item according to the preset scoring criteria.

[0094] For example, deep sleep percentage > 25%: 3 points Deep sleep percentage 15% - 25%: 2 points Deep sleep percentage < 15%: 1 point Thirdly, the health level of the sleep posture in terms of physiological curves. The sleep postures that users are used to may not be good postures that are beneficial to the health of physiological curves. For example, some users may be used to sleeping face down. Compare each sleep posture with the standard sleep postures in the preset database, mainly comparing the head position, neck position, and the angle between the head and the neck.

[0095] Specifically, for example, the user's sleep posture is supine, the head is tilted to the right, the angle with the surface of the device is 60 degrees, the angle between the head and the neck is 30, the neck is in the middle part of the device, and the angle between the neck and the right side of the device is 30°.

[0096] Suppose the standard supine sleeping posture in the preset database should meet the following conditions: The angle between the head and the device: should be between 0° - 30°.

[0097] The angle between the head and the neck: should be close to 0° to maintain the natural curve of the neck.

[0098] The position of the neck on the device: The neck should be properly supported to ensure that the spine presents a natural S shape.

[0099] Contact angle: The contact between the neck and the device should be as flat as possible to avoid excessive compression.

[0100] Compare the user's sleep posture with the above conditions:

[0101] Total score = 1 + 6 + 2 + 2 = 11 points.

[0102] Suppose the scoring range: 0 - 40 points 31 - 40 points: Good sleep posture 21 - 30 points: Average sleep posture, it is recommended to improve 11 - 20 points: Poor sleep posture, need to be adjusted with emphasis 0 - 10 points: Extremely poor sleep posture, may cause health problems Finally, add up the scores of each item, or assign different weights and calculate them weighted to obtain the total score of the sleep posture.

[0103] For example, total score = sleep quality score + physiological index score + physiological curve health score.

[0104] Select the sleeping position with the highest total score based on the evaluation results as the best sleeping position.

[0105] S4 collects the user's current sleeping position; based on the difference between the current sleeping position and the best sleeping position, generate an adjustment step plan for changing from the current sleeping position to the best sleeping position.

[0106] The difference here, more specifically, refers to the differences between the sleeping position and the best sleeping position, including head angle, neck angle, head position, and neck position.

[0107] Head angle offset (Δ head angle) = current head angle - best head angle Judge the adjustment direction and amplitude according to the offset: If Δ head > 0: The head needs to be adjusted downward.

[0108] If Δ head < 0: The head needs to be adjusted upward.

[0109] Head position offset (Δ head position): Current head position (e.g., coordinates (x 1 , y 1 )) and the distance calculation of the best head position (coordinates (x 2 , y 2 ))

[0110]

[0111] If Δ position head > 0, it means the head needs to move to the best position; if < 0, it means the head needs to move back.

[0112] Generate specific adjustment instructions according to the calculated head angle and position offset. For example: "Adjust the head angle by 15 degrees and move the head position by 1.5 cm" The process of generating the adjustment instructions for the neck is similar to that of the head.

[0113] S5 adjusts the user's sleeping position based on the adjustment step plan through the above sleeping position adjustment structure, so that the user's sleeping position is consistent with the position in the best sleeping position.

[0114] S5 includes adjusting at least one of the shape, contact height, contact angle, and contact position of the contact surface of the adjustment device body 100 corresponding to the user's head.

[0115] All of the above can be adjusted by lifting the adjusting rod body 210 in the combined array structure 200, adjusting the angle between the adjusting rod body 210 and the base 220 by the angle adjusting structure 230, and / or adjusting the angle between the angle adjusting structure 230 and the adjusting rod body 210.

[0116] The contact position can also be adjusted by changing the position of the device body 100 relative to the head through the movable structure 300.

[0117] Such as Figure 6 As shown, the present invention provides a system adopting the intelligent sleep posture adjustment method described in any one of the above, and the system includes, The acquisition module is configured to acquire the electroencephalogram information of the sleep behavior when the user's head contacts the device, and acquire the current sleep posture of the user when the user is in the sleep state; The determination module is configured to determine whether the user is in the sleep state according to the electroencephalogram information, and, when determining that the user is in the sleep state, determine the best sleep posture based on the user's historical sleep data; The scheme generation module is configured to generate an adjustment step scheme for changing from the current sleep posture to the best sleep posture based on the difference between the current sleep posture and the best sleep posture; The adjustment module is configured to adjust the sleep posture of the user based on the adjustment step scheme so that the sleep posture of the user is consistent with the posture in the best sleep posture.

[0118] Within the scope of the object of the present disclosure, terms such as "including" should be construed as inclusive or open by default, rather than exclusive or closed, unless it is clearly defined to have the opposite meaning. All technical, scientific or other terms conform to the meaning understood by those skilled in the art, unless it is defined to have the opposite meaning. Common terms found in the dictionary should not be interpreted too idealistically or too unrealistically in the context of relevant technical documents, unless the present disclosure clearly defines it as such.

[0119] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present invention. Any reference signs in the claims should not be regarded as limiting the claims involved.

[0120] In addition, it should be understood that although this specification is described in terms of embodiments, not every embodiment contains only an independent technical solution. This narrative manner of the specification is only for clarity. Those skilled in the art should regard the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. An intelligent sleeping posture adjustment method, characterized in that: The steps include: S1 collects the user's brain wave information during sleep behavior; S2 determines whether the user is in a sleeping state based on the brain wave information; When S3 determines that the user is in a sleeping state, determining the best sleeping posture information of the user, wherein the best sleeping posture information is obtained based on the historical sleep data of the user; S4 collects the user's current sleeping posture; based on the difference between the current sleeping posture and the optimal sleeping posture, generates an adjustment step plan for changing from the current sleeping posture to the optimal sleeping posture; S5 adjusts the user's sleeping posture based on the adjustment step scheme so that the user's sleeping posture is consistent with the optimal sleeping posture.

2. The intelligent sleeping posture adjustment method according to claim 1, characterized in that: The historical sleep data described in S3 includes sleeping posture, posture duration, number of awakenings, deep sleep duration and light sleep duration, and physiological data; Determining the best sleeping posture includes scoring the sleep quality and physiological curve health corresponding to each sleeping posture; The sleep quality score includes scoring based on the number of awakenings of the user in each sleeping posture, the ratio of deep sleep time to light sleep time, posture duration, and physiological data; The physiological curve health scoring includes comparing each sleeping posture with each standard sleeping posture in a preset database to obtain a difference, and scoring based on the difference; The sleep quality score and the physiological curve health score are added together, or weighted, to obtain the total score of the sleeping posture; The sleeping position with the highest total score was selected as the best sleeping position.

3. The intelligent sleeping posture adjustment method according to claim 1, characterized in that: S5 includes adjusting at least one of the shape, contact height, contact angle and contact position of the contact surface of the device body corresponding to the user's head.

4. An intelligent sleep posture adjustment device for implementing the intelligent sleep posture adjustment method according to any one of claims 1 to 3, comprising a device body, characterized in that: The device body includes: The brain wave collection structure is used to collect the user's brain wave information during sleep behavior; The sleeping posture collection structure is used to collect the current sleeping posture of the user; The controller is used to determine the user based on the user's brain wave information and determine the user's optimal sleeping posture information, wherein the optimal sleeping posture information is obtained based on the user's historical sleep data; the controller generates an adjustment step plan for changing from the current sleeping posture to the optimal sleeping posture based on the difference between the current sleeping posture and the optimal sleeping posture; The sleeping posture adjustment structure is used to make the sleeping posture of the user consistent with the posture in the optimal sleeping posture based on the adjustment step plan sent by the controller.

5. The intelligent sleep adjustment device according to claim 4, characterized in that: The sleeping posture acquisition structure includes a posture sensor, and the posture sensor includes at least a pressure sensor; The controller is used to identify the user's current sleeping posture based on the collection results of the posture sensor.

6. The intelligent sleep adjustment device according to claim 4, characterized in that: The sleeping posture adjustment structure includes a combined array structure disposed inside the device body; The combined array structure includes a base and a driving assembly; A plurality of adjusting rods are mounted on the base in a manner that allows them to be lifted and lowered; The driving assembly is used to drive the adjusting rod body to rise and fall relative to the base.

7. The intelligent sleep adjustment device according to claim 4, characterized in that: The adjusting rod body is rotatably connected to the base through the angle adjustment structure; And / or, the angle adjustment structure is rotatably connected to the upper end of the adjustment rod body.

8. The intelligent sleep adjustment device according to claim 4, characterized in that: The sleeping posture adjustment structure comprises a movable structure arranged on the lower surface of the device body, and the movable structure comprises at least one wheel and / or at least one track; The wheel is configured to have an adjustable rotation speed; The crawler belt is arranged so that the rotation speed can be adjusted.

9. The intelligent sleep adjustment device according to claim 4, characterized in that: The device body is a pillow.

10. A system using the intelligent sleeping posture adjustment method according to any one of claims 1 to 3, characterized in that: The system includes, The collection module is configured to collect brain wave information of the user's sleeping behavior when the user's head contacts the device body, and to collect the user's current sleeping posture when the user is in a sleeping state; The determination module is configured to determine whether the user is in a sleeping state according to the brain wave information, and, when determining that the user is in a sleeping state, determine the best sleeping posture based on the user's historical sleep data; The plan generation module is configured to generate an adjustment step plan for changing from the current sleeping posture to the optimal sleeping posture based on the difference between the current sleeping posture and the optimal sleeping posture; The adjustment module is configured to adjust the sleeping posture of the user based on the adjustment step scheme so that the sleeping posture of the user is consistent with the posture in the optimal sleeping posture.

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