A health monitoring method, device, mattress and storage medium

Abstract

The present invention discloses a method, device, mattress, and storage medium for health monitoring. The method comprises: determining the current elastic force information of the mattress and the current in-bed posture of the person on the mattress based on the elastic deformation of the capacitor layer in the mattress and a preset database; determining the current body position of the person on the bed based on the current in-bed posture and the current elastic force information; and judging whether the person on the bed has health abnormalities based on the frequency and amplitude of changes in the current elastic force information corresponding to the current body position. The technical solution of the embodiment of the present invention can use the mattress to non-sensically monitor the health status of the mattress user, with a better user experience and higher accuracy. Compared with professional medical equipment, it is also more suitable for home use and more economical and practical.

Description

Technical Field

[0001] The present invention relates to the technical field of smart mattresses, and in particular to a health monitoring method, device, mattress, and storage medium. Background Art

[0002] Sleep accounts for one-third of human life and is a fundamental physiological activity. Sleep quality is affected by a variety of factors, including environmental factors and unhealthy lifestyles. Physical abnormalities can also trigger sleep disorders.

[0003] Sleep disorders are a common problem in today's society, impacting the health of Chinese citizens and becoming a significant social issue. Some physical abnormalities, such as periodic leg movement disorder, often occur at night, persistently impacting sleep quality and can be difficult to detect in the early stages. Therefore, health monitoring is crucial.

[0004] Conventional health monitoring requires wearing home monitoring devices, such as fitness trackers, or using professional medical equipment to monitor physical condition if abnormalities are detected. However, professional medical equipment is expensive and unsuitable for home use. Common home monitoring devices require wearing, which can affect sleep due to the foreign body sensation caused by wearing them, and their accuracy is also low. Summary of the Invention

[0005] The present invention provides a health monitoring method, device, mattress and storage medium to achieve economical and accurate monitoring of human health.

[0006] In a first aspect, the present invention provides a health monitoring method applied to a mattress, the method comprising:

[0007] Determining current elastic force information of the mattress and a current in-bed posture of a person on the mattress based on the elastic deformation of the capacitive layer in the mattress and a preset database, wherein the preset database contains a correspondence between sample elastic force information and sample in-bed postures, and the current elastic force information includes a deformation area of ​​the mattress, a pressure value applied to the mattress, and a deformation position corresponding to the deformation area;

[0008] determining a current body position of the bedded person according to the current bedded posture and the current elastic force information, wherein the current body position at least includes positions of the limbs of the bedded person;

[0009] Whether the bedridden person has health abnormalities is determined based on the change frequency and change amplitude of the current elastic force information corresponding to the current body position.

[0010] In a second aspect, the present invention provides a health monitoring device configured in a mattress, the device comprising:

[0011] an elastic force information and posture determination module, configured to determine the current elastic force information of the mattress and the current in-bed posture of the person on the mattress based on the elastic deformation of the capacitive layer in the mattress and a preset database, wherein the preset database contains correspondences between sample elastic force information and sample in-bed postures, and the current elastic force information includes the deformation area of ​​the mattress, the pressure value applied to the mattress, and the deformation position corresponding to the deformation area;

[0012] a body position determination module, configured to determine a current body position of the bedded person based on the current bedded posture and the current elastic force information, wherein the current body position includes at least the positions of the limbs of the bedded person;

[0013] The health judgment module is used to judge whether the bedridden person has health abnormalities based on the change frequency and change amplitude of the current elastic force information corresponding to the current body position.

[0014] In a third aspect, the present invention provides a mattress, comprising:

[0015] A mattress body and a capacitor layer disposed above the mattress body;

[0016] at least one processor;

[0017] and a memory communicatively coupled to the at least one processor;

[0018] The memory stores a computer program that can be executed by at least one processor, and the computer program is executed by at least one processor to enable the at least one processor to perform the health monitoring method of the first aspect mentioned above.

[0019] In a fourth aspect, the present invention provides a computer-readable storage medium storing computer instructions, which are used to enable a processor to implement the health monitoring method of the first aspect when executed.

[0020] The health monitoring solution provided by the present invention determines the current elastic force information of the mattress and the current in-bed posture of the person on the mattress based on the elastic deformation of the capacitor layer in the mattress and a preset database, wherein the preset database contains the correspondence between sample elastic force information and sample in-bed posture, and the current elastic force information includes the deformation area of ​​the mattress, the pressure value applied to the mattress, and the deformation position corresponding to the deformation area. The current body position of the person in bed is determined based on the current in-bed posture and the current elastic force information, wherein the current body position includes at least the position of the limbs of the person in bed. Based on the change frequency and change amplitude of the current elastic force information corresponding to the current body position, it is judged whether the person in bed has health abnormalities. By adopting the above technical solution, the elastic deformation of the capacitor layer in the mattress and a preset database are used to determine the current elastic force information and current body position of the mattress. Then, based on the change frequency and change amplitude of the current elastic force information corresponding to the current body position, the health of the person in bed is judged. Compared with traditional health monitoring methods, this method can use the mattress to non-sensingly monitor the health status of the mattress user, providing a better user experience and higher accuracy. Compared with professional medical equipment, it is also more suitable for home use and more economical and practical.

[0021] It should be understood that the content described in this section is not intended to identify the key or important features of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 This is a flow chart of a health monitoring method provided according to the first embodiment of the present invention;

[0024] Figure 2 is a schematic cross-sectional view of a capacitor layer provided in Embodiment 1 of the present invention;

[0025] Figure 3 This is a flow chart of a health monitoring method provided according to the second embodiment of the present invention;

[0026] Figure 4 is a structural diagram of a health monitoring device provided according to Embodiment 3 of the present invention;

[0027] Figure 51 is a structural diagram of a mattress provided according to a fourth embodiment of the present invention. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0029] It should be noted that the terms "first," "second," and the like in the specification and claims of the present invention and the accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than that illustrated or described herein. In the description of the present invention, unless otherwise specified, "plurality" refers to two or more. "And / or" describes an association relationship between associated objects, indicating that three relationships can exist. For example, "A and / or B" can mean: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally indicates that the associated objects are in an "or" relationship. In addition, the terms "including" and "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product, or device.

[0030] Example 1

[0031] Figure 1 A flowchart of a health monitoring method is provided for the first embodiment of the present invention. This embodiment is applicable to monitoring human health. The method can be performed by a health monitoring device. The health monitoring device can be implemented in the form of hardware and / or software. The health monitoring device can be configured in a mattress, and the mattress can be composed of two or more physical entities.

[0032] like Figure 1 As shown, the health monitoring method provided in the first embodiment of the present invention specifically includes the following steps:

[0033] S101. Determine current elastic force information of the mattress and current bed posture of a person on the mattress based on elastic deformation of a capacitor layer in the mattress and a preset database.

[0034] The preset database includes the correspondence between sample elastic force information and sample bed postures, and the current elastic force information includes the deformation area of ​​the mattress, the pressure value applied to the mattress, and the deformation position corresponding to the deformation area.

[0035] In this embodiment, the capacitor layer can be placed over the mattress. The capacitor layer can include at least two layers of flexible conductive elastic material (specifically, an even number of layers, such as two or four layers) and an elastic material. Multiple sheets of flexible conductive elastic material can be spliced ​​into a predetermined shape, such as a mesh, to form the flexible conductive elastic material layer. Figure 2 A schematic diagram of a capacitor layer cross section provided by an embodiment of the present invention, taking two layers as an example, as shown in FIG. Figure 2 As shown, an elastic material (1004), such as a piece of cotton, can be filled between the flexible conductive elastic material layers (1002 and 1003). The capacitor layer is equivalent to a capacitor, and the two layers of flexible conductive elastic material in the figure are equivalent to the upper and lower electrode plates of the capacitor. When the user lies on the mattress, the elastic material in the middle of the capacitor layer is squeezed, causing the flexible conductive elastic material layer to undergo elastic deformation, that is, the distance between the upper and lower plates of the capacitor changes. According to the capacitance formula C = (ε×S) / d, it can be seen that when the distance d between the plates of the capacitor layer changes, the capacitance value of the capacitor layer will also change, where C is the capacitance value, ε is the dielectric constant, S is the facing area between the capacitor plates, and d is the distance between the capacitor plates. Since there is a correlation between the elastic deformation caused by different pressures and the capacitance change, the deformation area of ​​the mattress, the pressure value on the mattress, and the deformation position corresponding to the deformation area can be determined based on the capacitance change. The current elastic force information is then compared with a preset database to determine the current in-bed posture of the bedridden person. For example, the deformation area in the current elastic force information is compared with the sample deformation area of ​​sample elastic force information in the preset database to determine the similarity. The sample in-bed posture corresponding to the sample deformation area with the highest similarity is used as the current in-bed posture. The deformation area may include the size and shape of the area.

[0036] S102: Determine the current body position of the bedridden person according to the current bed posture and the current elastic force information.

[0037] The current body position at least includes the positions of the limbs of the bedridden person.

[0038] In this embodiment, the weight of a person's body parts and the corresponding deformation areas differ, and there are certain regularities. For example, the weight of the limbs is generally less than that of the torso, and the corresponding deformation areas are also different in shape and size. The deformation areas corresponding to the left leg, right leg, left hand, and right hand are also significantly different. Therefore, after the bed posture has been determined, the current body position of the person in bed is determined based on the current elastic force information. This determination of the bed posture can improve the accuracy of the current body position. If the bed posture is lying flat, the area in the current elastic force information where the deformation area shape meets the preset shape and the pressure value meets the preset pressure value can be filtered out, and the position corresponding to this area is determined as the position of the limbs of the person in bed. As mentioned above, since the capacitor layer in the mattress can be spliced, the pressure value in the current elastic force information can be the sum of the values ​​of each small capacitor layer, that is, the pressure value can include multiple sub-region pressure values ​​(the pressure value of the area corresponding to each small capacitor layer). Therefore, the pressure value of a portion of the area corresponding to the deformation area can be determined.

[0039] S103: Determine whether the bedridden person has health abnormalities based on the change frequency and change amplitude of the current elastic force information corresponding to the current body position.

[0040] In this embodiment, when a person's body experiences an abnormality, certain parts of the body may experience involuntary shaking or curling up, such as uncontrolled shaking of the legs or curling up due to pain. Therefore, the change frequency and change amplitude of the current elastic force information corresponding to the current body position can be used to determine whether the bedridden person has a health abnormality. For example, if the change frequency of the current elastic force information of the left leg (current body position) exceeds the corresponding preset frequency and the change amplitude exceeds the preset amplitude, it can be determined that the bedridden person has a health abnormality. The preset frequency can include a preset area change frequency, a preset pressure change frequency, and a preset position change frequency.

[0041] A health monitoring method provided by an embodiment of the present invention determines the current elastic force information of the mattress and the current in-bed posture of a person on the mattress based on the elastic deformation of the capacitor layer in the mattress and a preset database, wherein the preset database contains a correspondence between sample elastic force information and sample in-bed posture, the current elastic force information includes the deformation area of ​​the mattress, the pressure value applied to the mattress, and the deformation position corresponding to the deformation area, and determines the current body position of the person in bed based on the current in-bed posture and the current elastic force information, wherein the current body position includes at least the position of the limbs of the person in bed, and determines whether the person in bed has health abnormalities based on the change frequency and change amplitude of the current elastic force information corresponding to the current body position. The technical solution of the embodiment of the present invention utilizes the elastic deformation of the capacitor layer in the mattress and a preset database to determine the current elastic force information and current body position of the mattress. The health of the bedded person is then determined based on the frequency and amplitude of changes in the current elastic force information corresponding to the current body position. Compared with traditional health monitoring methods, this method can monitor the health of the mattress user without any sensation using the mattress, providing a better user experience and higher accuracy. Compared with professional medical equipment, it is also more suitable for home use and is economical and practical.

[0042] Example 2

[0043] Figure 3 This is a flow chart of a health monitoring method provided in the second embodiment of the present invention. The technical solution of the embodiment of the present invention is further optimized based on the above optional technical solutions, and provides a specific method of using a mattress to monitor human health.

[0044] Optionally, before determining the current elastic force information of the mattress and the current in-bed posture of the person on the mattress based on the elastic deformation of the capacitor layer in the mattress and the preset database, the method further includes: determining the dimension of the sample signal matrix based on the size of the sample mattress, wherein the sample signal matrix contains multiple sample signal values; obtaining the sample in-bed posture, and determining the sample signal matrix based on the dimension and the sample in-bed posture, wherein the size of the sample signal value in the sample signal matrix is ​​determined according to the size of the pressure applied to the capacitor layer in the sample mattress; determining the sample elastic force information and the sample body position based on the sample signal matrix, and determining the preset database based on the correspondence between the sample in-bed posture, the sample elastic force information and the sample body position. The advantage of this setting is that the sample elastic force information and the sample body position can be accurately determined by utilizing the size of the sample signal value in the sample signal matrix, thereby improving the accuracy of the data in the preset database.

[0045] Optionally, determining the current body position of the bedded person based on the current bedded posture and the current elastic force information includes: screening out a target bedded posture consistent with the current bedded posture from the preset database; determining multiple sample elastic force information corresponding to the target bedded posture as second target elastic force information, and determining a preset pressure range based on the second target elastic force information and the corresponding sample body positions; and determining the current body position of the bedded person based on the current elastic force information and the preset pressure range. The advantage of this arrangement is that by screening the data in the preset database, a suitable preset pressure range can be determined, and the preset pressure range can then be used to determine the current body position of the bedded person.

[0046] Optionally, determining whether the bedridden person has a health abnormality based on the frequency and amplitude of changes in the current elastic force information corresponding to the current body position includes: determining the frequency and amplitude of changes in the current elastic force information corresponding to the current body position within a preset unit time; if the frequency and / or amplitude do not fall within their respective set ranges, determining that the bedridden person has a health abnormality, wherein the set ranges include a set frequency range corresponding to the frequency and a set amplitude range corresponding to the amplitude. This arrangement has the advantage of continuously and timely identifying abnormal body parts by utilizing the preset ranges.

[0047] like Figure 3 As shown, a health monitoring method provided by the second embodiment of the present invention specifically includes the following steps:

[0048] S201. Determine the dimension of the sample signal matrix according to the size of the sample mattress.

[0049] The sample signal matrix includes a plurality of sample signal values.

[0050] Specifically, since the capacitor layer in the mattress can be made of multiple sheets of flexible conductive elastic material, that is, it can be made of multiple sub-capacitor layers, and elastic materials such as springs are filled below the capacitor layer, the capacitor layer above each spring can transmit a corresponding electrical signal when squeezed. The multiple sample signal values ​​contained in the sample signal matrix can be the values ​​of the electrical signal, and the dimensions of the sample signal matrix can correspond to the dimensions of the sample capacitor layer, that is, consistent with the sample mattress. For example, if the dimensions of the sample mattress are 1.5 meters wide and 1.8 meters long, the dimensions of the sample signal matrix can be 15*18, that is, 15 rows and 18 columns. The initial value of the sample signal value can be zero.

[0051] S202 : Acquire a sample in-bed posture, and determine a sample signal matrix according to the dimension and the sample in-bed posture.

[0052] The magnitude of the sample signal values ​​in the sample signal matrix is ​​determined according to the magnitude of the pressure applied to the capacitor layer in the sample mattress.

[0053] Specifically, multiple sample in-bed postures can be obtained in advance. Since the sample deformation areas of the sample mattresses corresponding to different in-bed postures, the sample pressure values ​​applied to the sample mattresses, and the sample deformation positions corresponding to the sample pressure values ​​are usually different, different sample signal matrices can be obtained by obtaining different sample in-bed postures.

[0054] S203 : Determine sample elastic force information and sample body position according to the sample signal matrix, and determine a preset database according to the correspondence between the sample bed posture, the sample elastic force information, and the sample body position.

[0055] Specifically, the sample elastic force information can be determined based on the magnitude of the sample signal values ​​in the sample signal matrix, and the sample body position, such as the limbs, can then be determined based on the sample elastic force information. The corresponding relationship between the sample bed posture, sample elastic force information, and sample body position is then entered into an initial preset database to create a preset database. For example, if the sample bed posture is lying flat, the sample elastic force information is A, and the sample body position is the left leg, these three associations can be written into the initial preset database. The sample elastic force information includes the sample deformation area of ​​the sample mattress, the sample pressure value applied to the sample mattress, and the sample deformation position corresponding to the sample pressure value.

[0056] S204: Determine current elastic force information of the mattress and current bed posture of the person on the mattress based on the elastic deformation of the capacitor layer in the mattress and a preset database.

[0057] Optionally, the current elastic force information of the mattress and the current in-bed posture of the person on the mattress are determined based on the elastic deformation of the capacitor layer in the mattress and a preset database, including: determining the initial capacitance value of the capacitor layer in the mattress, and the current capacitance value of the capacitor layer after elastic deformation; determining the current elastic force information of the mattress based on the difference between the current capacitance value and the initial capacitance value; determining the first target elastic force information from the preset database based on the similarity between the current elastic force information and the sample elastic force information, and determining the sample in-bed posture corresponding to the first target elastic information as the current in-bed posture of the person on the mattress. The advantage of this setting is that by calculating the similarity between the current elastic force information and the sample elastic information, the sample elastic information with a greater similarity can be screened out, and the sample in-bed posture corresponding to the sample elastic information is the current in-bed posture of the person on the bed.

[0058] Specifically, if the initial capacitance value of one sub-capacitor layer in the capacitor layer is B and the current capacitance value is C, the difference between the two can be used as the capacitance change, thereby determining the pressure value applied to the sub-capacitor layer. Correspondingly, the pressure value applied to the entire capacitor layer can also be calculated, thereby determining the current elastic force information. The similarity between the current elastic force information and each sample elastic force information in the preset database is then calculated. The sample elastic force information corresponding to the maximum similarity can be determined as the first target elastic force information. The sample in-bed posture corresponding to the first target elastic force information is the current in-bed posture.

[0059] S205: Filter out a target in-bed posture consistent with the current in-bed posture from the preset database.

[0060] Specifically, if the current posture in bed is lying on the side, then lying on the side is filtered out from the preset database, and this posture is the target posture in bed.

[0061] S206: Determine the plurality of sample elastic force information corresponding to the target bed posture as second target elastic force information, and determine a preset pressure range according to the second target elastic force information and the corresponding sample body positions.

[0062] For example, if the sample elastic force information corresponding to the target in-bed posture is M1, M2…M100, and the sample body positions corresponding to M1, M2…M100 are all the left leg, then the sample elastic force information can be processed to determine the preset pressure range for the left leg. For example, sample pressure values ​​close to the pressure value in the current elastic force information are first screened out (i.e., samples with a weight close to that of the in-bed user are screened out). Then, the maximum pressure value corresponding to the leg area among the sample pressure values ​​is set as the upper limit of the preset pressure range, and the minimum pressure value is set as the lower limit of the preset pressure range.

[0063] S207: Determine the current body position of the bedridden person according to the current elastic force information and the preset pressure range.

[0064] Specifically, the pressure values ​​within the preset pressure range can be filtered out from the current elastic force information. The current body position of the bedridden person can then be determined based on the deformation area and deformation location of the area containing the pressure value. For example, if the preset pressure range is the pressure range of the left leg and left hand, the deformation area and deformation location within the preset pressure range can be determined first. Then, based on the shape and size of the deformation area and the deformation location, the position of the bedridden person's left leg and left hand can be determined.

[0065] S208. Determine a change frequency and a change amplitude of the current elastic force information corresponding to the current body position within a preset unit time. If the change frequency and / or the change amplitude do not fall within their respective corresponding set ranges, determine that the bedridden person has a health abnormality.

[0066] The setting range includes a setting frequency range corresponding to the change frequency and a setting amplitude range corresponding to the change amplitude.

[0067] For example, if the preset unit time is 1 minute and the current body position is the left leg, then if within 1 minute, the change frequency of at least one of the deformation area, pressure value and deformation position in the current elastic force information of the left leg does not fall within the set frequency range, and / or the change amplitude of at least one of the deformation area, pressure value and deformation position in the current elastic force information of the left leg does not fall within the set amplitude range, it can be determined that the bedridden person has health abnormalities.

[0068] Optionally, after determining whether the bedridden person has health abnormalities, the method further includes: determining the weight and height of the bedridden person based on the elastic deformation of the capacitor layer; determining the body mass index of each bedridden person based on the weight and height, and determining the body mass index as the user identification of the bedridden person; and determining the health report of each bedridden person based on the user identification and the judgment result. The advantage of this setting is that using the body mass index as a user identification not only cannot monitor the height and weight of the bedridden person (user), but also can achieve the purpose of distinguishing health reports of different users.

[0069] Specifically, the weight of the person in bed can also be determined by the capacitance change of the capacitor layer, and the height of the person in bed can be determined based on the shape and length of the area where the capacitance change is not zero. If the shape of the area where the capacitance change is not zero is approximately a rectangle, the length of the area where the capacitance change is not zero can be directly determined as the height of the person in bed. Then calculate the body mass index of the person in bed. Since the body mass index of each person in a small range (such as a family) is generally different, the body mass index of the user can be determined when the user lies on the mattress for the first time, and the body mass index is determined as the user identification of the user to distinguish different users. Each time the user lies on the mattress, a health report of the user can be generated according to the determined judgment result. Among them, the health report includes at least the judgment result, the abnormal level and the medical reminder and other information. The abnormal level can be determined according to the frequency of change and the magnitude of the change of the current elastic information.

[0070] Optionally, the mattress includes a mattress body and a capacitor layer positioned above the mattress body, the capacitor layer including at least two layers of flexible conductive material and an elastic material positioned between the at least two layers of flexible conductive material, the flexible conductive material layer including multiple pieces of interconnected flexible conductive material, the area of ​​each piece of flexible conductive material being determined based on the size of each spring in the mattress body. The advantage of this arrangement is that, compared to other elastic fillings, the body data (such as bed posture, etc.) of the bed occupant determined using the springs in the mattress is more accurate.

[0071] Specifically, the flexible conductive elastic material layer can be composed of multiple pieces of flexible conductive elastic material, each piece of which can determine the corresponding current capacitance value. The capacitance value of the capacitor layer can be output in the form of a voltage signal, and the calculation method can be determined based on the connection method of each piece of flexible conductive elastic material. The elastic filling in the mattress body below the capacitor layer can be a spring, and the area of ​​the flexible conductive material can be slightly larger than the surface area of ​​the top of the spring (the side in contact with the capacitor layer).

[0072] The health monitoring method provided by the embodiment of the present invention uses the size of the sample signal value in the sample signal matrix to determine the sample elasticity information and the sample body position, and then generates a preset database with higher accuracy based on the correspondence between the two and the sample in-bed posture. Then, by screening the data in the preset database, a suitable preset pressure range is determined, and the preset pressure range is used to determine the current body position of the bedded person, and the preset setting range is used to screen out body parts that do not fall within the range, so that abnormal body parts can be continuously and timely determined, and the user's health condition can be continuously and imperceptibly monitored while the user is sleeping. Compared with traditional health monitoring methods, this method has a better user experience and a higher accuracy rate. Compared with professional medical equipment, it is also more suitable for home use and economical and practical.

[0073] Example 3

[0074] Figure 4 This is a structural diagram of a health monitoring device provided by Example 3 of the present invention. Figure 4 As shown, the device can be configured in a mattress, and includes: an elasticity information and posture determination module 301, a body position determination module 302, and a health judgment module 303, wherein:

[0075] an elastic force information and posture determination module, configured to determine the current elastic force information of the mattress and the current in-bed posture of the person on the mattress based on the elastic deformation of the capacitive layer in the mattress and a preset database, wherein the preset database contains correspondences between sample elastic force information and sample in-bed postures, and the current elastic force information includes the deformation area of ​​the mattress, the pressure value applied to the mattress, and the deformation position corresponding to the deformation area;

[0076] a body position determination module, configured to determine a current body position of the bedded person based on the current bedded posture and the current elastic force information, wherein the current body position includes at least the positions of the limbs of the bedded person;

[0077] The health judgment module is used to judge whether the bedridden person has health abnormalities based on the change frequency and change amplitude of the current elastic force information corresponding to the current body position.

[0078] The health monitoring device provided in an embodiment of the present invention utilizes the elastic deformation of the capacitor layer in the mattress and a preset database to determine the current spring force information and current body position of the mattress. The device then determines the health of the bedded person based on the frequency and amplitude of changes in the current spring force information corresponding to the current body position. Compared with traditional health monitoring methods, this method can utilize the mattress to non-sensingly monitor the health of the mattress user, providing a better user experience and higher accuracy. Compared with professional medical equipment, this method is also more suitable for home use and is economical and practical.

[0079] Optionally, the elastic force information and posture determination module includes:

[0080] a capacitance value determining unit, configured to determine an initial capacitance value of a capacitance layer in the mattress and a current capacitance value of the capacitance layer after elastic deformation;

[0081] an elastic force information determining unit, configured to determine current elastic force information of the mattress according to a difference between the current capacitance value and the initial capacitance value;

[0082] The in-bed posture determination unit is used to determine first target elastic force information from a preset database based on the similarity between the current elastic force information and the sample elastic force information, and determine the sample in-bed posture corresponding to the first target elastic force information as the current in-bed posture of the person in bed on the mattress.

[0083] Optionally, the device further includes:

[0084] a dimension determination module, configured to determine the dimension of a sample signal matrix based on the size of a sample mattress before determining the current elastic force information of the mattress and the current bed posture of the person occupying the mattress based on the elastic deformation of the capacitive layer in the mattress and a preset database, wherein the sample signal matrix includes a plurality of sample signal values;

[0085] a matrix determination module, configured to obtain a sample in-bed posture and determine a sample signal matrix based on the dimensions and the sample in-bed posture, wherein the magnitude of the sample signal values ​​in the sample signal matrix is ​​determined based on the magnitude of the pressure applied to the capacitor layer in the sample mattress;

[0086] The database determination module is used to determine sample elastic force information and sample body position according to the sample signal matrix, and determine a preset database according to the correspondence between the sample bed posture, the sample elastic force information and the sample body position.

[0087] Optionally, the body position determination module includes:

[0088] a bed posture determining unit, configured to filter out a target bed posture consistent with the current bed posture from the preset database;

[0089] a pressure range determining unit, configured to determine a plurality of sample elastic force information corresponding to the target in-bed posture as second target elastic force information, and determine a preset pressure range according to the second target elastic force information and the corresponding sample body position;

[0090] A body position determining unit is used to determine the current body position of the bedridden person according to the current elastic force information and the preset pressure range.

[0091] Optionally, the health judgment module is specifically used to determine the change frequency and change amplitude of the current elastic force information corresponding to the current body position within a preset unit time. If the change frequency and / or the change amplitude do not fall within their respective corresponding set ranges, it is determined that the bedridden person has health abnormalities, wherein the set range includes a set frequency range corresponding to the change frequency and a set amplitude range corresponding to the change amplitude.

[0092] Optionally, the device further includes:

[0093] a weight and height determination module, configured to determine the weight and height of the bedridden person based on the elastic deformation of the capacitor layer after determining whether the bedridden person has any health abnormalities;

[0094] a user identification determination module, configured to determine a body mass index of each of the bedridden persons based on the weight and the height, and determine the body mass index as the user identification of the bedridden person;

[0095] The health report determination module is used to determine the health report of each bedridden person based on the user identification and the judgment result.

[0096] Optionally, the mattress includes a mattress body and a capacitor layer placed above the mattress body, the capacitor layer includes at least two layers of flexible conductive material and an elastic material located between the at least two layers of flexible conductive material, the flexible conductive material layer includes multiple pieces of flexible conductive material spliced ​​together, and the area of ​​each piece of flexible conductive material is determined based on the size of each spring in the mattress body.

[0097] The health monitoring device provided in the embodiment of the present invention can execute the health monitoring method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0098] Example 4

[0099] Figure 5 A schematic diagram of the structure of a mattress 40 that can be used to implement an embodiment of the present invention is shown. The mattress includes a mattress body and a capacitor layer positioned above the mattress body. The capacitor layer may include at least two layers of flexible conductive material and an elastic material positioned between the at least two layers of flexible conductive material. The flexible conductive material layer may include multiple pieces of interconnected flexible conductive material, and the area of ​​each piece of flexible conductive material may be determined based on the size of each spring in the mattress body. The components shown herein, their connections and relationships, and their functions are merely exemplary and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0100] like Figure 5 As shown, the mattress 40 includes a mattress body 41, a capacitor layer 42 placed above the mattress body, at least one processor 43, and a memory 44 communicatively connected to the at least one processor 43, such as a read-only memory (ROM) and a random access memory (RAM), wherein the memory stores a computer program that can be executed by the at least one processor, and the processor 43 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) or the computer program loaded from the storage unit to the random access memory (RAM).

[0101] Processor 43 can be various general-purpose and / or specialized processing components with processing and computing capabilities. Some examples of processor 43 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. Processor 43 executes the various methods and processes described above, such as the health monitoring method.

[0102] In some embodiments, the health monitoring method can be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as a memory unit. In some embodiments, part or all of the computer program can be loaded and / or installed on the mattress 40 via the ROM and / or the communication unit. When the computer program is loaded into the RAM and executed by the processor 43, one or more steps of the health monitoring method described above can be performed. Alternatively, in other embodiments, the processor 43 can be configured to perform the health monitoring method in any other suitable manner (e.g., via firmware).

[0103] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0104] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0105] The computer device provided above can be used to execute the health monitoring method provided in any of the above embodiments, and has corresponding functions and beneficial effects.

[0106] Example 5

[0107] In the context of the present invention, a computer-readable storage medium may be a tangible medium, wherein the computer-executable instructions, when executed by a computer processor, are used to perform a health monitoring method applied to a mattress, the method comprising:

[0108] Determining current elastic force information of the mattress and a current in-bed posture of a person on the mattress based on the elastic deformation of the capacitive layer in the mattress and a preset database, wherein the preset database contains a correspondence between sample elastic force information and sample in-bed postures, and the current elastic force information includes a deformation area of ​​the mattress, a pressure value applied to the mattress, and a deformation position corresponding to the deformation area;

[0109] determining a current body position of the bedded person according to the current bedded posture and the current elastic force information, wherein the current body position at least includes positions of the limbs of the bedded person;

[0110] Whether the bedridden person has health abnormalities is determined based on the change frequency and change amplitude of the current elastic force information corresponding to the current body position.

[0111] In the context of the present invention, computer-readable storage medium can be a tangible medium that can contain or store a computer program for use with an instruction execution system, device or equipment or used in conjunction with an instruction execution system, device or equipment. Computer-readable storage medium can include but is not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage medium can be a machine-readable signal medium. A more specific example of a machine-readable storage medium can include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0112] The computer device provided above can be used to execute the health monitoring method provided in any of the above embodiments, and has corresponding functions and beneficial effects.

[0113] It is worth noting that in the embodiment of the above-mentioned health monitoring device, the various units and modules included are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0114] Note that the above are only preferred embodiments of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments, and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments and may include many other equivalent embodiments without departing from the concept of the present invention. The scope of the present invention is determined by the scope of the appended claims.

Claims

1. A health monitoring method, characterized in that: Applied to a mattress, the method comprises: Determining current elastic force information of the mattress and a current in-bed posture of a person on the mattress based on the elastic deformation of the capacitive layer in the mattress and a preset database, wherein the preset database contains a correspondence between sample elastic force information and sample in-bed postures, and the current elastic force information includes a deformation area of ​​the mattress, a pressure value applied to the mattress, and a deformation position corresponding to the deformation area; determining a current body position of the bedded person according to the current bedded posture and the current elastic force information, wherein the current body position at least includes positions of the limbs of the bedded person; Whether the bedridden person has health abnormalities is determined based on the change frequency and change amplitude of the current elastic force information corresponding to the current body position.

2. The method according to claim 1, characterized in that The determining, based on the elastic deformation of the capacitor layer in the mattress and a preset database, current elastic force information of the mattress and the current bed posture of the person on the mattress includes: determining an initial capacitance value of a capacitor layer in the mattress and a current capacitance value of the capacitor layer after elastic deformation; determining current elastic force information of the mattress according to a difference between the current capacitance value and the initial capacitance value; According to the similarity between the current elastic force information and the sample elastic force information, first target elastic force information is determined from a preset database, and the sample bed posture corresponding to the first target elastic force information is determined as the current bed posture of the person on the mattress.

3. The method according to claim 1, characterized in that Before determining the current elastic force information of the mattress and the current bed posture of the person on the mattress based on the elastic deformation of the capacitor layer in the mattress and a preset database, the method further includes: Determining a dimension of a sample signal matrix according to a size of the sample mattress, wherein the sample signal matrix includes a plurality of sample signal values; Obtaining a sample in-bed posture, and determining a sample signal matrix based on the dimension and the sample in-bed posture, wherein the magnitude of the sample signal values ​​in the sample signal matrix is ​​determined according to the magnitude of the pressure applied to the capacitor layer in the sample mattress; The sample elastic force information and the sample body position are determined according to the sample signal matrix, and a preset database is determined according to the corresponding relationship between the sample bed posture, the sample elastic force information and the sample body position.

4. The method according to claim 3, characterized in that The determining the current body position of the person in bed according to the current posture in bed and the current elastic force information includes: Filtering a target in-bed posture consistent with the current in-bed posture from the preset database; determining a plurality of sample elastic force information corresponding to the target in-bed posture as second target elastic force information, and determining a preset pressure range according to the second target elastic force information and the corresponding sample body positions; The current body position of the bedridden person is determined according to the current elastic force information and the preset pressure range.

5. The method according to claim 4, characterized in that The determining whether the bedridden person has health abnormalities according to the change frequency and change amplitude of the current elastic force information corresponding to the current body position includes: Determine the change frequency and change amplitude of the current elastic force information corresponding to the current body position within a preset unit time. If the change frequency and / or the change amplitude do not fall within their respective corresponding set ranges, determine that the bedridden person has a health abnormality, wherein the set range includes a set frequency range corresponding to the change frequency and a set amplitude range corresponding to the change amplitude.

6. The method according to claim 1, characterized in that After determining whether the bedridden person has health abnormalities, the method further includes: determining the weight and height of the bedridden person based on the elastic deformation of the capacitor layer; determining a body mass index of each of the bedridden persons based on the weight and the height, and determining the body mass index as a user identifier of the bedridden person; A health report of each of the bedridden persons is determined according to the user identification and the judgment result.

7. The method according to any one of claims 1 to 6, characterized in that The mattress includes a mattress body and a capacitor layer placed above the mattress body. The capacitor layer includes at least two layers of flexible conductive material and an elastic material located between the at least two layers of flexible conductive material. The flexible conductive material layer includes multiple pieces of flexible conductive material spliced ​​together, and the area of ​​each piece of flexible conductive material is determined based on the size of each spring in the mattress body.

8. A health monitoring device, characterized in that: The device is configured in a mattress and includes: an elastic force information and posture determination module, configured to determine the current elastic force information of the mattress and the current in-bed posture of the person on the mattress based on the elastic deformation of the capacitive layer in the mattress and a preset database, wherein the preset database contains correspondences between sample elastic force information and sample in-bed postures, and the current elastic force information includes the deformation area of ​​the mattress, the pressure value applied to the mattress, and the deformation position corresponding to the deformation area; a body position determination module, configured to determine a current body position of the bedded person based on the current bedded posture and the current elastic force information, wherein the current body position includes at least the positions of the limbs of the bedded person; The health judgment module is used to judge whether the bedridden person has health abnormalities based on the change frequency and change amplitude of the current elastic force information corresponding to the current body position.

9. A mattress, characterized in that: The mattress comprises: A mattress body and a capacitor layer disposed above the mattress body; at least one processor; and a memory communicatively coupled to the at least one processor; The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the health monitoring method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the health monitoring method according to any one of claims 1 to 7 when executed.

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