AI intelligent monitoring scoliosis pressure adjusting brace

Through AI intelligent monitoring of scoliosis pressure adjustment braces, the pressure sensor array and AI backend management system are used to adjust the brace positions in real time, solving the problem of wearing position deviation and improving the correction effect.

CN120458796APending Publication Date: 2025-08-12SHANGHAI SIXTH PEOPLES HOSPITAL +1

Patent Information

Application Number
CN202510562213.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-30
Publication Date
2025-08-12

AI Technical Summary

Technical Problem

Existing scoliosis braces are prone to position deviation when worn, which affects the correction effect.

Method used

AI is used to intelligently monitor scoliosis pressure adjustment braces, and through integrated pressure sensor arrays and AI backend management systems, the pressure distribution is monitored in real time and position deviation is judged using preset attitude analysis algorithms, and reminder information is sent to adjust the brace positions.

Benefits of technology

Real-time adjustment of the brace position is achieved, improving the accuracy and correction effect of wear, and reducing discomfort caused by position deviation.

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Abstract

The embodiment of the invention provides an AI intelligent monitoring scoliosis pressure adjusting brace. The AI intelligent monitoring scoliosis pressure adjusting brace comprises a bandage system, an air bag pressure inner pad and an artificial intelligence AI background management system. A pressure sensor array is integrated on the surface of the air bag pressure inner pad; the pressure sensor array is in communication connection with the AI background management system; the AI background management system is used for acquiring pressure distribution information detected by the pressure sensor array after detecting that the user wears the brace; according to the pressure distribution information, whether the wearing position of the user has deviation or not is judged through a preset posture analysis algorithm; and if the deviation exists, sending first reminding information. According to the technical scheme, the pressure distribution information detected by the pressure sensor array can be obtained, so that whether deviation exists in the wearing position of the user or not is judged through the preset posture analysis algorithm, and if deviation exists, the first reminding information is sent so that the user can adjust the position of the brace through the bandage system when receiving the reminding information.
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Description

Technical Field

[0001] The present application relates to the field of medical device technology, and in particular to an AI intelligent monitoring scoliosis pressure adjustment brace. Background Art

[0002] Scoliosis braces are currently widely used in medical technology. They can correct mild scoliosis in patients with mild cases. Early bracing can control or delay the progression of congenital scoliosis. For idiopathic scoliosis, early bracing can completely correct the deformity. Current scoliosis braces, which apply direct pressure to the most prominent points of the skin, ribs, and spine, are not only inconvenient to wear but can also lead to improper positioning, compromising the brace's effectiveness. Summary of the Invention

[0003] The purpose of the present invention is to provide an AI-powered intelligent scoliosis monitoring and pressure adjustment brace to address the problem of scoliosis brace wearing position deviation. The specific technical solution is as follows:

[0004] In a first aspect of an embodiment of the present application, an AI intelligent monitoring scoliosis pressure adjustment brace is first provided, comprising: a strap system, an airbag pressure inner pad and an artificial intelligence AI background management system; a pressure sensor array is integrated on the surface of the airbag pressure inner pad; a communication connection exists between the pressure sensor array and the AI background management system; the AI background management system is configured to obtain pressure distribution information detected by the pressure sensor array after detecting that a user is wearing the brace; based on the pressure distribution information, determine whether there is a deviation in the user's wearing position through a preset posture analysis algorithm; if there is a deviation, send a first reminder message, wherein the first reminder message is used to remind the user to adjust the brace position through the strap system.

[0005] In one possible implementation, the AI intelligent monitoring scoliosis pressure adjustment brace also includes an ultrasonic positioning module; there is a communication connection between the ultrasonic positioning module and the AI background management system; the ultrasonic positioning module is used to detect the position information of multiple preset bony landmarks; the AI background management system is also used to obtain the position information of the multiple preset bony landmarks; the position information of the multiple preset bony landmarks is compared with the preset position, and when the preset warning conditions are met, a second reminder message is sent.

[0006] In one possible implementation, the strap system has a built-in drive electrode; there is a communication connection between the drive motor and the AI background management system; the AI background management system is also used to adjust the position of the brace by driving the drive motor in the event of deviation.

[0007] In one possible implementation, the AI intelligent monitoring scoliosis pressure adjustment brace also includes a heart rate monitoring module, a body temperature monitoring module, and a wearing time statistics module.

[0008] In one possible implementation, the AI intelligent monitoring scoliosis pressure adjustment brace is also used to send the monitored data to the cloud.

[0009] In one possible implementation, the AI intelligent monitoring scoliosis pressure adjustment brace also includes a detachable electrical stimulation module.

[0010] In one possible implementation, the airbag pressure inner cushion has an embedded micro air pump; the AI background management system is used to determine whether the user performs a preset action based on the pressure distribution information and / or the position information of the multiple preset bony landmarks; when it is determined that the user performs the preset action, the pressure of the airbag pressure inner cushion is adjusted by the micro air pump.

[0011] A second aspect of an embodiment of the present application provides a brace wearing reminder method, which is applied to an AI backend management system in an AI intelligent monitoring scoliosis pressure adjustment brace; the AI intelligent monitoring scoliosis pressure adjustment brace comprises: a strap system, an airbag pressure pad, and an AI backend management system;

[0012] The method comprises:

[0013] After detecting that the user is wearing the brace, obtaining pressure distribution information detected by the pressure sensor array;

[0014] Based on the pressure distribution information, a preset posture analysis algorithm is used to determine whether there is a deviation in the user's wearing position;

[0015] If there is a deviation, a first reminder message is sent, wherein the first reminder message is used to remind the user to adjust the position of the brace through the strap system.

[0016] In one possible embodiment, the airbag pressure cushion has a built-in micro air pump;

[0017] The method further comprises:

[0018] determining, based on the pressure distribution information and / or the position information of the plurality of preset bony landmarks, whether the user performs a preset action;

[0019] When it is determined that the user performs the preset action, the pressure of the airbag pressure cushion is adjusted by the micro air pump.

[0020] In one possible implementation, the AI intelligent scoliosis monitoring pressure adjustment brace further includes an ultrasonic positioning module; the method further includes:

[0021] Acquiring position information of the plurality of preset bony landmarks;

[0022] The position information of the plurality of preset bony landmarks is compared with the preset positions, and a second reminder message is sent when a preset warning condition is met.

[0023] In one possible implementation, the strapping system has a built-in drive electrode; a communication connection exists between the drive motor and the AI backend management system; and the method further includes:

[0024] In the event of a deviation, the position of the support is adjusted by driving the driving motor.

[0025] Another aspect of the present application provides an electronic device, including:

[0026] Memory for storing computer programs;

[0027] The processor is configured to implement any of the above-mentioned brace wearing reminder methods when executing the program stored in the memory.

[0028] In another aspect of an embodiment of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the computer program implements any of the above-mentioned brace wearing reminder methods.

[0029] In another aspect provided by the present application, a computer program product comprising instructions is further provided, which, when executed on a computer, enables the computer to execute any of the brace wearing reminder methods described above.

[0030] Beneficial effects of the embodiments of the present application:

[0031] An embodiment of the present application provides an AI intelligent monitoring scoliosis pressure adjustment brace, comprising: a strap system, an airbag pressure inner pad, and an artificial intelligence (AI) backend management system; a pressure sensor array is integrated on the surface of the airbag pressure inner pad; a communication connection exists between the pressure sensor array and the AI backend management system; the AI backend management system is configured to obtain pressure distribution information detected by the pressure sensor array after detecting that a user is wearing the brace; determine whether there is a deviation in the user's wearing position based on the pressure distribution information using a preset posture analysis algorithm; and if there is a deviation, send a first reminder message, wherein the first reminder message is configured to remind the user to adjust the brace position through the strap system. Through the solution of the embodiment of the present application, after detecting that a user is wearing the brace, the pressure distribution information detected by the pressure sensor array can be obtained, and then, based on the pressure distribution information, the predetermined posture analysis algorithm can be used to determine whether there is a deviation in the user's wearing position; if there is a deviation, the first reminder message is sent, so that the user can adjust the brace position through the strap system upon receiving the reminder message, thereby resolving the problem of easy deviation in the wearing position of the scoliosis brace.

[0032] Of course, it is not necessary to achieve all the advantages described above at the same time when implementing any product or method of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other embodiments can also be obtained based on these drawings.

[0034] Figure 1 A schematic diagram of an AI intelligent monitoring scoliosis pressure adjustment brace provided in an embodiment of the present application;

[0035] Figure 2 An example diagram of an AI intelligent monitoring scoliosis pressure adjustment brace provided in an embodiment of the present application;

[0036] Figure 3 Another schematic diagram of the AI intelligent monitoring scoliosis pressure adjustment brace provided in an embodiment of the present application;

[0037] Figure 4 Another example diagram of the AI intelligent monitoring scoliosis pressure adjustment brace provided in an embodiment of the present application;

[0038] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field based on this application are within the scope of protection of this application.

[0040] In a first aspect of the embodiment of the present application, an AI (Artificial Intelligence) intelligent monitoring scoliosis pressure adjustment brace is first provided. Figure 1 , Figure 1 A schematic diagram of an AI intelligent monitoring scoliosis pressure adjustment brace provided in an embodiment of the present application, comprising: a strap system, an airbag pressure inner pad 101 and an AI backend management system 102;

[0041] The surface of the airbag pressure inner cushion is integrated with a pressure sensor array; there is a communication connection between the pressure sensor array and the AI background management system;

[0042] The AI backend management system is configured to obtain pressure distribution information detected by the pressure sensor array after detecting that the user is wearing the brace; determine whether there is a deviation in the user's wearing position using a preset posture analysis algorithm based on the pressure distribution information; and send a first reminder message if there is a deviation, wherein the first reminder message is used to remind the user to adjust the brace position using the strap system.

[0043] Among them, the AI intelligent monitoring scoliosis pressure adjustment brace in the embodiment of the present application can be used to correct scoliosis patients. In actual use, the main frame of the brace can be made of 3D (three-dimensional) printed composite materials (engineering plastic ratio: such as nylon + carbon fiber, ratio of 60%:40%), to achieve lightweight and high toughness, and better fit the human spine curve. Figure 2 , Figure 2 This diagram illustrates an example of an AI-powered scoliosis monitoring and pressure adjustment brace provided in an embodiment of the present application. The brace can be designed in a vest-like configuration, with both sides secured to the user's body via a rotating, adjustable strap system. In one example, the rotating, adjustable strap system can include a built-in gear transmission structure and a rotary button adjustment mechanism, enabling both electric and manual adjustment.

[0044] Among them, the airbag pressure cushion can be set on the side close to the human body. After the user wears the brace, the airbag fits the human body, and the pressure on the human body can be adjusted by adjusting the pressure of the airbag. A pressure sensor array is integrated on the surface of the airbag pressure cushion, for example, a piezoelectric pressure sensor array. The pressure sensor array can detect the pressure on multiple parts of the human body, and the measurement results of the pressure sensor array can be sent to the AI background management system through the communication connection between the pressure sensor array and the AI background management system. In one example, the pressure sensor array can be a distributed flexible pressure sensor (range 0-50kPa, accuracy ±1%). In one example, the airbag pressure cushion in the embodiment of the present application may include an airbag array, which can be divided into 6 independent air chambers (corresponding to T1-L5 spinal segments), each air chamber has a volume of 10-50ml, and is made of TPU (thermoplastic polyurethane elastomer) material. In one example, the pressure sensor array can be a piezoresistive thin film sensor with a resolution of 1×1cm grid.

[0045] Among them, the AI background management system can determine whether the user is wearing a brace by the power-on signal, or it can determine whether the user is wearing a brace by the pressure change value of the pressure sensor array. For example, when the user wears the brace, the pressure value measured by the pressure sensor array will rise rapidly, thereby determining that the user is wearing a brace. Among them, the pressure distribution information detected by the pressure sensor array may include pressure information of multiple detection points, and the specific location can be selected according to actual conditions, for example, scapula, humerus, ulna, etc. Among them, based on the pressure distribution information, a preset posture analysis algorithm is used to determine whether there is a deviation in the user's wearing position. The pressure information measured at each detection point can be compared with the preset information to see if they are the same, or the difference is less than a preset threshold. When the pressure of one or more detection points deviates from the preset pressure of the point or the deviation is greater than the preset threshold, a first reminder message is sent. Specifically, the adjustment for sending the first reminder message can be set based on actual conditions. For example, when the number of monitoring points with a deviation from a preset pressure exceeds a preset threshold, or when the pressure measured at any monitoring point deviates from the preset pressure by more than a preset pressure threshold, or when the number of monitoring points with a deviation from the preset pressure by more than the preset pressure threshold exceeds a preset threshold, the first reminder message is sent, thereby reminding the user to adjust the brace position using the strap system. In actual use, the first reminder message can be sent in a variety of ways. For example, the bracket can have a built-in buzzer to provide reminders; for another example, the bracket can communicate with a smart terminal device such as a mobile phone to send the first reminder message to the smart terminal device.

[0046] The preset posture analysis algorithm in the embodiment of the present application may be an algorithm based on an LSTM (Long Short-Term Memory) network.

[0047] It can be seen that through the solution of the embodiment of the present application, after detecting that the user is wearing the brace, the pressure distribution information detected by the pressure sensor array can be obtained, and then, based on the pressure distribution information, a preset posture analysis algorithm can be used to determine whether there is a deviation in the user's wearing position. If there is a deviation, a first reminder message is sent so that the user can adjust the brace position through the strap system when receiving the reminder message, thereby solving the problem that the scoliosis brace wearing position is prone to deviation.

[0048] In one possible implementation, see Figure 3 , Figure 3 Another schematic diagram of the AI intelligent monitoring scoliosis pressure adjustment brace provided in an embodiment of the present application, wherein the AI intelligent monitoring scoliosis pressure adjustment brace further includes an ultrasonic positioning module 103; a communication connection exists between the ultrasonic positioning module and the AI background management system;

[0049] The ultrasonic positioning module is used to detect the position information of multiple preset bony landmarks;

[0050] The AI background management system is also used to obtain the position information of the multiple preset bony landmarks; compare the position information of the multiple preset bony landmarks with the preset positions, and send a second reminder message when the preset warning conditions are met.

[0051] Among them, the bony landmarks in the embodiments of the present application refer to bones in certain parts of the human body, which often form obvious protrusions or depressions on the human body surface. They are often used for positioning in clinical practice and are called bony landmarks. For example, the inferior angle of the scapula, the sternal angle, the acromion, etc. Among them, the edge of the brace in the embodiment of the present application can be arranged with an ultrasonic transmitter / receiver, and the relative displacement between the brace and the human body reference point (such as the inferior angle of the scapula) is calculated by the time-of-flight algorithm through the triangulation method, so as to detect the wearing position of the brace in real time. The position information of multiple preset bony landmarks is detected by the ultrasonic positioning module, which can be the position of multiple preset bony landmarks in the current coordinate system, that is, the position in the coordinate system with the specified position of the brace as the center of the circle. After obtaining the position information of the multiple preset bony landmarks through the AI background management system, the position information of the multiple preset bony landmarks is compared with the preset position. The preset position corresponding to each bony landmark can be set in advance, so that a second reminder message is sent when the preset conditions are met, such as when the deviation is greater than the preset deviation threshold. It is also possible to detect the distance between the current ultrasonic positioning module and multiple preset bony landmarks, and use the distance as position information, so as to directly compare the distance with the preset distance, and send a reminder message when the difference between the distance and the preset distance is greater than the alarm threshold. In actual use, the detection positions corresponding to multiple preset bony landmarks can also be compared with each other, and a second reminder message is sent if the difference between the two is greater than the preset difference. For example, when the difference corresponding to the left and right acromion is greater than the preset difference, it can be determined that there is a high and low shoulder, and thus a second reminder message is sent. For another example, the position of a preset bony landmark is compared with the preset position, and a second reminder message is sent when the difference is greater than the preset difference. Specifically, the preset difference can be set according to the actual situation, for example, ±5mm, ±6mm, ±10mm, etc. See. Figure 4 , Figure 4 Another example of an AI-powered scoliosis pressure adjustment brace according to an embodiment of the present application. An ultrasonic positioning module can be mounted on the back of the brace to detect the module's position relative to multiple preset bony landmarks, thereby sending a second alert message when preset warning conditions are met.

[0052] In one possible implementation, the strapping system has a built-in driving electrode; a communication connection exists between the driving motor and the AI background management system;

[0053] The AI background management system is also used to adjust the position of the brace by driving the drive motor when there is a deviation.

[0054] Among them, the strap system in the embodiment of the present application can realize multi-gear tightness adjustment by rotating the button through the built-in gear transmission structure. A driving electrode can also be built in, and in the case of deviation, the position of the brace can be adjusted by driving the driving motor. The specific adjustment method can be set according to the actual situation. For example, if the airbag pressure is low at a certain place, the strap near the airbag can be tightened. For another example, if the airbag pressure is high at a certain place, the strap near the airbag can be loosened. In one example, the drive motor can be a micro stepper motor (rated torque 0.5N·m) with a planetary gear set (reduction ratio 10:1).

[0055] In one possible implementation, the AI intelligent monitoring scoliosis pressure adjustment brace also includes a heart rate monitoring module, a body temperature monitoring module, and a wearing time statistics module.

[0056] In one possible implementation, the AI intelligent monitoring scoliosis pressure adjustment brace is also used to send the monitored data to the cloud.

[0057] Among them, see Figure 2 The heart rate monitoring module in the brace of the present application embodiment can be integrated with a PPG (a bio-tracking optical sensor) optical sensor; the body temperature monitoring module can use a high-precision thermistor array; and the wearing time statistics module can be linked to a timer via a contact sensor. The heart rate monitoring module, body temperature monitoring module, and wearing time statistics module can receive sensor data such as pressure, heart rate, body temperature, and location, and then transmit it to the cloud via Bluetooth / Wi-Fi (wireless network communication technology).

[0058] In an embodiment of the present application, the data obtained by monitoring the scoliosis pressure adjustment brace is sent to the cloud through AI intelligent monitoring, which can facilitate the monitoring or maintenance of the user's physical condition based on the data recorded in the cloud, as well as reminders and other functions. For example, when the wearing time statistics module records a daily wearing time that is less than the preset time threshold, it may result in the failure to achieve the correction effect, so that a reminder message can be sent. For another example, if the user has physical abnormalities after wearing it, such as abnormal heart rate, etc., it may be caused by abnormal wearing of the user, so a review is required. During actual use, the user can also view relevant data through the application in the smart terminal, for example, through a mobile phone APP (application). And a rehabilitation report can be generated based on the uploaded data, including daily correction time, heart rate trend, posture improvement score, etc.

[0059] In one possible implementation, the AI intelligent monitoring scoliosis pressure adjustment brace also includes a detachable electrical stimulation module.

[0060] Among them, see Figure 2, the detachable electrical stimulation module in the embodiment of the present application can be used to electrically stimulate the user, thereby achieving medical purposes. The specifications of the detachable electrical stimulation module in the embodiment of the present application can be selected according to actual conditions. In one example, the detachable electrical stimulation module can support low-frequency (1-100Hz) and medium-frequency (1-10kHz) electrical stimulation modes, and can be quickly disassembled and assembled through a magnetic interface. For safety purposes, a safety circuit can also be built-in to prevent overload. In actual use, users can set an electrotherapy plan through the APP, or the AI can recommend an adaptive mode. In one example, the detachable electrical stimulation module can include multiple electrode sheets, which can support a low-frequency mode (1-100Hz): for muscle relaxation, with a pulse width of 200μs; and a medium-frequency mode (1-10kHz): for nerve stimulation, with a modulation frequency of 50Hz.

[0061] In one possible embodiment, the airbag pressure cushion has a built-in micro air pump;

[0062] The AI background management system is used to determine whether the user performs a preset action based on the pressure distribution information and / or the position information of the multiple preset bony landmarks; when it is determined that the user performs the preset action, the pressure of the airbag pressure cushion is adjusted by the micro air pump.

[0063] The AI backend management system can determine whether the user has performed a preset action based on the pressure distribution information and / or the locations of the multiple preset bony landmarks. Preset actions can include bending or leaning. In one example, because bending increases abdominal pressure and decreases back pressure, the system can detect an increase in abdominal pressure and a decrease in back pressure, determining that a bending action has been performed. The system can then use the micro-pump to adjust the pressure of the airbag pressure cushion, reducing the airbag pressure in the abdomen and increasing the pressure in the back. In another example, when leaning, the pressure on the side corresponding to the leaning increases while the pressure on the other side decreases. Therefore, the airbag pressure on the side corresponding to the leaning can be reduced while the pressure on the other side can be increased. For another example, a user working at a desk causes their right shoulder to sink 12° for 6 minutes. The AI triggers a level 2 alert, automatically tightening the left shoulder strap by 8mm and pressurizing the right shoulder airbag to 18kPa. After 5 minutes, the shoulder height difference returns to within 5°. Or if the pelvis is detected to be tilted forward by 18° → the airbag on the back of the waist is pressurized to 28kPa, the abdominal strap is shortened by 10mm → after 20 minutes, the forward tilt angle is reduced to 9°, and the APP pushes the "core muscle strengthening training" suggestion. In one example, the flow rate of the micro air pump can be 0.5L / min, the noise is <30dB, and it is linked to the solenoid valve group to dynamically adjust the pressure of each air chamber (range 5-30kPa) through the PID (proportional-integral-differential) algorithm. In one example, the first-level reminder (mild): the APP pushes a vibration reminder (frequency 50Hz, lasting 1 second); the second-level reminder (moderate): automatically tighten the low side straps, and lift the low shoulders by pressurizing the airbags; the third-level reminder (severe): the electrical stimulation module is linked to apply low-frequency electric pulses (20Hz, 10mA) to the trapezius muscle to assist muscle activation.

[0064] A second aspect of an embodiment of the present application provides a brace wearing reminder method, which is applied to an AI backend management system in an AI intelligent monitoring scoliosis pressure adjustment brace; the AI intelligent monitoring scoliosis pressure adjustment brace comprises: a strap system, an airbag pressure pad, and an AI backend management system;

[0065] The method comprises:

[0066] After detecting that the user is wearing the brace, obtaining pressure distribution information detected by the pressure sensor array;

[0067] Based on the pressure distribution information, a preset posture analysis algorithm is used to determine whether there is a deviation in the user's wearing position;

[0068] If there is a deviation, a first reminder message is sent, wherein the first reminder message is used to remind the user to adjust the position of the brace through the strap system.

[0069] In one possible embodiment, the airbag pressure cushion has a built-in micro air pump;

[0070] The method further comprises:

[0071] determining, based on the pressure distribution information and / or the position information of the plurality of preset bony landmarks, whether the user performs a preset action;

[0072] When it is determined that the user performs the preset action, the pressure of the airbag pressure cushion is adjusted by the micro air pump.

[0073] In one possible implementation, the AI intelligent scoliosis monitoring pressure adjustment brace further includes an ultrasonic positioning module; the method further includes:

[0074] Acquiring position information of the plurality of preset bony landmarks;

[0075] The position information of the plurality of preset bony landmarks is compared with the preset positions, and a second reminder message is sent when a preset warning condition is met.

[0076] In one possible implementation, the strapping system has a built-in drive electrode; a communication connection exists between the drive motor and the AI backend management system; and the method further includes:

[0077] In the event of a deviation, the position of the support is adjusted by driving the driving motor.

[0078] It can be seen that through the solution of the embodiment of the present application, after detecting that the user is wearing the brace, the pressure distribution information detected by the pressure sensor array can be obtained, and then, based on the pressure distribution information, a preset posture analysis algorithm can be used to determine whether there is a deviation in the user's wearing position. If there is a deviation, a first reminder message is sent so that the user can adjust the brace position through the strap system when receiving the reminder message, thereby solving the problem that the scoliosis brace wearing position is prone to deviation.

[0079] The present application also provides an electronic device, such as Figure 5 Shown, including:

[0080] Memory 501, used for storing computer programs;

[0081] The processor 502 is configured to execute the program stored in the memory 501 by performing the following steps:

[0082] After detecting that the user is wearing the brace, obtaining pressure distribution information detected by the pressure sensor array;

[0083] Based on the pressure distribution information, a preset posture analysis algorithm is used to determine whether there is a deviation in the user's wearing position;

[0084] If there is a deviation, a first reminder message is sent, wherein the first reminder message is used to remind the user to adjust the position of the brace through the strap system.

[0085] The communication bus mentioned in the electronic device mentioned above may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. This communication bus can be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is used in the figure, but this does not mean that there is only one bus or only one type of bus.

[0086] The communication interface is used for communication between the above electronic device and other devices.

[0087] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk storage. Alternatively, the memory may be at least one storage device located away from the processor.

[0088] The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, and discrete hardware components.

[0089] In another embodiment provided by the present application, a computer-readable storage medium is further provided, wherein a computer program is stored in the computer-readable storage medium. When the computer program is executed by a processor, any of the above-mentioned brace wearing reminder methods is implemented.

[0090] In another embodiment provided by the present application, a computer program product including instructions is further provided, which, when executed on a computer, enables the computer to execute the brace wearing reminder method described in any one of the above embodiments.

[0091] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrations. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a solid-state drive (SSD).

[0092] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply the existence of any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.

[0093] Each embodiment in this specification is described in a related manner. Similar portions between the various embodiments can be referenced to each other. Each embodiment focuses on the differences between the other embodiments. In particular, the method, electronic device, and storage medium embodiments are generally similar to the brace embodiments, so their descriptions are relatively simple. For related portions, refer to the descriptions of the method embodiments.

[0094] The above description is only a preferred embodiment of the present application and is not intended to limit the scope of protection of the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application are included in the scope of protection of the present application.

Claims

1. An AI intelligent monitoring scoliosis pressure adjustment brace, characterized in that: include: Strap system, airbag pressure pad and artificial intelligence AI background management system; The surface of the airbag pressure inner cushion is integrated with a pressure sensor array; there is a communication connection between the pressure sensor array and the AI background management system; The AI backend management system is configured to obtain pressure distribution information detected by the pressure sensor array after detecting that the user is wearing the brace; determine whether there is a deviation in the user's wearing position using a preset posture analysis algorithm based on the pressure distribution information; and send a first reminder message if there is a deviation, wherein the first reminder message is used to remind the user to adjust the brace position using the strap system.

2. The AI intelligent monitoring scoliosis pressure adjustment brace according to claim 1 is characterized in that: The AI intelligent monitoring scoliosis pressure adjustment brace also includes an ultrasonic positioning module; there is a communication connection between the ultrasonic positioning module and the AI background management system; The ultrasonic positioning module is used to detect the position information of multiple preset bony landmarks; The AI backend management system is further used to obtain the position information of the multiple preset bony landmarks; The position information of the plurality of preset bony landmarks is compared with the preset positions, and a second reminder message is sent when a preset warning condition is met.

3. The AI intelligent monitoring scoliosis pressure adjustment brace according to claim 1, characterized in that: The strapping system has a built-in driving electrode; there is a communication connection between the driving motor and the AI background management system; The AI background management system is also used to adjust the position of the brace by driving the drive motor when there is a deviation.

4. The AI intelligent monitoring scoliosis pressure adjustment brace according to claim 1, characterized in that: The AI intelligent monitoring scoliosis pressure adjustment brace also includes a heart rate monitoring module, a body temperature monitoring module and a wearing time statistics module.

5. The AI intelligent monitoring scoliosis pressure adjustment brace according to claim 4 is characterized in that: The AI intelligent monitoring scoliosis pressure adjustment brace is also used to send the monitored data to the cloud.

6. The AI intelligent monitoring scoliosis pressure adjustment brace according to claim 1, characterized in that: The AI intelligent monitoring scoliosis pressure adjustment brace also includes a detachable electrical stimulation module.

7. The AI intelligent monitoring scoliosis pressure adjustment brace according to claim 2, characterized in that: The airbag pressure cushion has a built-in micro air pump; The AI backend management system is configured to determine whether the user performs a preset action based on the pressure distribution information and / or the position information of the plurality of preset bony landmarks; When it is determined that the user performs the preset action, the pressure of the airbag pressure cushion is adjusted by the micro air pump.

8. A method for reminding to wear a brace, characterized in that: The method is applied to the AI background management system of the AI intelligent monitoring scoliosis pressure adjustment brace; The AI intelligent monitoring scoliosis pressure adjustment brace includes: a strap system, an airbag pressure pad and an AI background management system; The method comprises: After detecting that the user is wearing the brace, pressure distribution information detected by the pressure sensor array is obtained; based on the pressure distribution information, a preset posture analysis algorithm is used to determine whether there is a deviation in the user's wearing position; if there is a deviation, a first reminder message is sent, wherein the first reminder message is used to remind the user to adjust the brace position through the strap system.

9. The method according to claim 8, characterized in that The airbag pressure cushion has a built-in micro air pump; the method further comprises: determining, based on the pressure distribution information, whether the user performs a preset action; When it is determined that the user performs the preset action, the pressure of the airbag pressure cushion is adjusted by the micro air pump.

10. An electronic device, characterized in that: include: Memory for storing computer programs; A processor, configured to implement the method described in claim 8 or 9 when executing a program stored in a memory.

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