Children rehabilitation training system, method and equipment and storage medium

Abstract

The invention provides a child rehabilitation training system, method, device and equipment and a storage medium. The system integrates mechanical supporting, sensor monitoring, intelligent control, data analysis and user interaction functions. The system comprises a mechanical support device, a sensor network, a control system and a data analysis and feedback module. Gait data are collected in real time, a personalized treatment plan is combined, a supporting device is dynamically adjusted, abnormal gaits are recognized, and a treatment suggestion is generated. A user interface is convenient for a therapist to operate and monitor, the visualization and interactivity of the treatment effect are improved, accurate and efficient gait correction and rehabilitation experience is provided for children, and foot health recovery is promoted.

Description

Technical Field

[0001] The present application relates to the medical field, and in particular to a children's rehabilitation training system, method, device and storage medium. Background Art

[0002] Car tires tend to heat up during long-distance driving or continuous downhill driving, especially in high-temperature summer environments. This problem not only aggravates the damage to the tires, but also significantly increases safety risks, such as the occurrence of tire blowouts.

[0003] The tire cooling systems of most cars on the market today rely on manual operation by the driver, which means the driver needs to actively intervene to start or shut down the cooling system.

[0004] The driver needs to perform a series of complex steps, including parking, getting off the car to check the tire temperature, and deciding whether to start or shut down the cooling system based on judgment. This is not only time-consuming and labor-intensive, but also increases the inconvenience during driving. Whether the tire temperature reaches the threshold that requires cooling often depends on the driver's experience and judgment. This subjectivity may lead to inaccurate judgment, thus affecting the cooling effect or safety. The manual operation mode may cause the driver to be distracted at critical moments, increasing the risk of traffic accidents. At the same time, if the high temperature of the tire is not detected and handled in time, it may cause serious consequences such as tire blowout. Summary of the invention

[0005] The purpose of the present application is to overcome the above-mentioned prior art and provide a children's rehabilitation training system, method, device and storage medium.

[0006] The present application provides a children's rehabilitation training system, comprising:

[0007] A mechanical support device, comprising a support structure and a resilient element, for providing support and guidance for a child's foot;

[0008] A sensor network, including accelerometers, gyroscopes, and pressure sensors, is used to collect gait data of children in real time while walking and transmit it to the control system;

[0009] A control system, based on a microprocessor or an embedded system, receives the gait data and performs real-time analysis and processing, and dynamically adjusts the state of the mechanical support device according to a preset gait correction algorithm and a personalized treatment plan;

[0010] Data analysis and feedback module, which identifies abnormal gait patterns and generates personalized treatment recommendations and progress reports;

[0011] User interface, which provides an operating interface for therapists to set treatment plans, adjust parameters and monitor the treatment process, while displaying real-time gait data and treatment effects.

[0012] Optionally, the mechanical support device comprises:

[0013] Adjustable support force and angle adjustment mechanism, adjusted according to the control system instructions to optimize the gait correction effect, including:

[0014] According to the gait data, the error e of the target support force and the target angle is determined. F and e θ , calculate the adjustment amounts ΔF and Δθ;

[0015] The ΔF and Δθ are adjusted to adjust the support force and angle until the error is reduced to a preset range.

[0016] Optionally, the algorithm used by the data analysis and feedback module includes:

[0017] Laplace transform, Fourier transform, principal component analysis, independent component analysis, or support vector machine to extract key features from gait data and predict treatment effects.

[0018] Optionally, the control system adopts a closed-loop control strategy, including: a PID controller or an adaptive control algorithm, to dynamically adjust the state of the mechanical support device according to real-time gait data to achieve a gait correction effect.

[0019] The present application also provides a child rehabilitation training method, comprising:

[0020] Using the above-mentioned children's rehabilitation training system to collect children's gait data;

[0021] Analyzing gait data through the above-mentioned children's rehabilitation training system to identify abnormal gait patterns;

[0022] Based on the analysis results, personalized treatment recommendations and progress reports are generated, including adjustments to the support strength and angle of the mechanical support device, as well as expected treatment effect evaluation.

[0023] Optionally, it also includes:

[0024] When collecting the gait data of the child, the walking process of the child is monitored in real time through the sensor network described in claim 1.

[0025] Optionally, when analyzing gait data, abnormal gait patterns are identified in combination with the child's age, weight, height, and historical treatment records.

[0026] Optionally, after generating personalized treatment recommendations and progress reports, also include:

[0027] The treatment suggestions and progress reports are presented to therapists and parents through the above-mentioned user interface, and interactive functions are provided to allow therapists and parents to adjust the treatment plan based on feedback, and to conduct real-time monitoring and dynamic adjustments during the treatment process.

[0028] The present application also provides a children's rehabilitation training device, comprising:

[0029] A memory, used for storing a computer executable program of the above-mentioned child rehabilitation training method;

[0030] The processor is used to call the computer executable program to execute: using the above-mentioned children's rehabilitation training system to collect children's gait data; analyzing the gait data through the above-mentioned children's rehabilitation training system to identify abnormal gait patterns; and generating personalized treatment recommendations and progress reports based on the analysis results, including adjusting the support strength and angle of the mechanical support device, as well as the expected treatment effect evaluation.

[0031] The present application also provides a storage medium, comprising: a computer executable program stored therein, wherein the computer executable program is used to be called by a processor to execute the steps of the above-mentioned child rehabilitation training method.

[0032] The beneficial effects of this application are:

[0033] Invention point 1: Adjustment mechanism for automatically adjusting support strength and angle;

[0034] Invention point 2: A comprehensive rehabilitation training system integrating mechanical support, sensor monitoring, intelligent control, data analysis and user interaction.

[0035] The present application provides a children's rehabilitation training system, including: a mechanical support device, including a support structure and an elastic element, for providing support and guidance for the child's foot; a sensor network, including an accelerometer, a gyroscope and a pressure sensor, for real-time collection of gait data of the child during walking, and transmitting it to a control system; a control system, based on a microprocessor or an embedded system, receiving the gait data and performing real-time analysis and processing, and dynamically adjusting the state of the mechanical support device according to a preset gait correction algorithm and a personalized treatment plan; a data analysis and feedback module, identifying abnormal gait patterns, and generating personalized treatment suggestions and progress reports; a user interface, providing an operation interface for therapists to set treatment plans, adjust parameters and monitor the treatment process, while displaying real-time gait data and treatment effects. The present application provides children with a personalized, accurate and efficient gait correction and rehabilitation experience through a comprehensive rehabilitation training system that integrates mechanical support, sensor monitoring, intelligent control, data analysis and user interaction, significantly promoting the recovery of children's foot health, and enhancing the visualization and interactivity of treatment effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a schematic diagram of the children's rehabilitation training system in this application;

[0037] Figure 2 It is a schematic diagram of the child rehabilitation training process in this application;

[0038] Figure 3 It is a schematic diagram of the children's rehabilitation training equipment in this application. DETAILED DESCRIPTION

[0039] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0040] Embodiment 1

[0041] Please refer to Figure 1 As shown, a children's rehabilitation training system is designed for children and aims to provide personalized foot rehabilitation training programs for children with gait problems through highly intelligent means. The system integrates a mechanical support device 101, a sensor network 102, a control system 103, a data analysis and feedback module 104, and a user interface 105 to form a complete rehabilitation solution.

[0042] The main body of the mechanical support device 101 is constructed of a lightweight high-strength alloy material, which not only ensures the stability of the structure, but also reduces the overall weight, making it easier for children to wear. At the same time, in the part that contacts the child's skin, highly elastic silicone is used as an elastic element to ensure comfort and breathability during wearing.

[0043] The mechanical support device 101 is designed according to the anatomical characteristics of children's feet and covers key support areas, such as the arch and heel, to provide effective support and guidance.

[0044] The mechanical support device 101 includes an adjustment mechanism, which includes:

[0045] Electric Motor: The built-in small and efficient electric motor serves as the power source and is connected to the adjustment components of the supporting structure through a precise transmission mechanism.

[0046] Strength adjustment: Driven by an electric motor, the tension of the spring or other elastic element can be precisely adjusted to change the support strength to meet the needs of different children or the same child at different stages of rehabilitation.

[0047] Angle adjustment: Using a mechanical arm or similar mechanism, the angle of the mechanical support device 101 is automatically adjusted according to the instructions of the control system 103 to optimize the force distribution and gait pattern of the foot.

[0048] The adjustment logic of the mechanical support device 101 is as follows:

[0049] The child's gait data, including plantar pressure distribution, acceleration change, etc., is acquired in real time through the sensor network 102. According to the preset target gait parameters (such as ideal support strength and angle), the deviation value of the current support strength and angle is calculated, and the expression is as follows:

[0050] e F =F target -F current ;

[0051] e θ =θ target -θ current ;

[0052] The classic PID (proportional-integral-differential) control algorithm is used to dynamically adjust the support force and angle according to the deviation value until the target value is reached or approached, thereby optimizing the gait correction effect. The expression is as follows:

[0053]

[0054] Among them, F current is the actual support strength, θ current is the actual angle, K P , K I , K D are the proportional, integral, and derivative gains of the controller.

[0055] The sensor network 102 includes: an accelerometer, a gyroscope and a pressure sensor installed in the special shoes for children, which are used to measure the three-dimensional acceleration, angular velocity and plantar pressure distribution during walking.

[0056] The data collected by the sensor is transmitted to the control system 103 in real time through wireless communication technologies such as low-power Bluetooth, ensuring the accuracy and real-time nature of data transmission.

[0057] The control system 103 uses an embedded system based on the ARM Cortex-M series as the control core, with a built-in high-performance microprocessor, and has powerful data processing and real-time control capabilities. It has built-in multiple preset gait correction algorithms, including a model based on machine learning, which can analyze sensor data in real time, quickly identify gait abnormalities and calculate corresponding adjustment instructions.

[0058] By continuously monitoring gait data, calculating deviations and adjusting the state of the mechanical support device 101, a closed-loop control system 103 is formed to ensure the accuracy and effectiveness of rehabilitation training.

[0059] The data analysis and feedback module 104 uses mathematical tools such as Laplace transform and Fourier transform to perform in-depth analysis on the gait data and extract frequency characteristics and periodicity information.

[0060] Through dimensionality reduction techniques such as principal component analysis (PCA), the most critical features for gait correction are extracted from massive data.

[0061] Based on the extracted features and machine learning models such as support vector machines (SVM), the treatment effect is predicted and personalized treatment recommendations and progress reports are generated. These reports contain not only quantitative indicators such as gait improvement percentage, but also charts and explanations that are easy for therapists and parents to understand.

[0062] The user interface 105 provides an intuitive and easy-to-use touch screen operation interface for therapists and parents to operate and monitor. It supports therapists to set treatment plans, adjust support parameters (such as strength and angle), monitor the treatment process, etc. The interface displays gait data charts (such as gait curves and pressure distribution diagrams) and treatment effect evaluation results in real time to help users intuitively understand the progress of rehabilitation.

[0063] Through this series of intelligent designs and technical applications, the children's rehabilitation training system of this embodiment can provide children with personalized, accurate and efficient foot rehabilitation training programs to help them recover a healthy gait faster.

[0064] Embodiment 2

[0065] Please refer to Figure 2 As shown, a child rehabilitation training method comprises the following steps:

[0066] S201: Use the above-mentioned children's rehabilitation training system to collect children's gait data.

[0067] Accurately obtain children's gait data during walking, providing a basis for subsequent gait analysis.

[0068] Children are required to wear special shoes, which are equipped with a variety of high-precision sensors (such as accelerometers, gyroscopes, pressure sensors, etc.) to capture key information such as walking speed, direction, step length, and plantar pressure distribution in real time. Children walk freely in the designated training area, and the sensor network 102 starts working and transmits the collected data to the control system 103 wirelessly.

[0069] S202: Analyze the gait data through the above-mentioned children's rehabilitation training system to identify abnormal gait patterns.

[0070] Utilizing the collected gait data, combined with the child’s personal information (such as age, weight, height, etc.) and historical treatment records, we conduct an in-depth analysis of gait characteristics and identify possible abnormal patterns.

[0071] After receiving the data, the control system 103 uses advanced algorithms (such as machine learning, deep learning, etc.) for real-time processing and analysis. These algorithms can automatically identify abnormal values ​​in gait parameters, such as uneven step length, asymmetric gait, abnormal landing force, etc., thereby providing a basis for subsequent personalized treatment.

[0072] S203. Generate personalized treatment suggestions and progress reports based on the analysis results, including adjusting the support strength and angle of the mechanical support device 101, and evaluating the expected treatment effect.

[0073] Based on the results of data analysis, treatment plans are tailored for children to improve rehabilitation outcomes.

[0074] The system automatically generates personalized treatment suggestions and progress reports based on the analyzed abnormal gait patterns. These suggestions may include adjusting the support strength and angle of the mechanical support device 101 (such as orthopedic insoles, exoskeletons, etc.) to correct gait problems; at the same time, the report will also predict and evaluate the expected treatment effects to help therapists and parents understand the progress of rehabilitation.

[0075] Furthermore, to ensure the relevance and effectiveness of the treatment plan, the treatment parameters are adjusted in a timely manner to adapt to the child's recovery process.

[0076] The therapist and parents view the treatment report through the user interface 105 (such as a touch screen, mobile application, etc.) to understand the child's rehabilitation status and treatment effect. Based on the data and suggestions in the report, they can make necessary adjustments to the treatment parameters, such as increasing or decreasing the support strength, adjusting the support angle, etc. At the same time, during the treatment process, the system can also provide a real-time monitoring function, allowing the therapist and parents to observe the child's gait changes at any time and make dynamic adjustments as needed.

[0077] Embodiment 3

[0078] Please refer to Figure 3 As shown, a child rehabilitation training device, the core of which is a computer equipped with a special operating system and specific software, and the computer is configured with a processor 302 and a memory 301. The processor 302 ensures the efficiency of data processing and analysis, and the memory 301 is used to store a large amount of gait data and historical treatment records.

[0079] The computer is responsible for executing the entire process of data collection, analysis, treatment recommendations and report generation. By running the computer executable program stored in the memory 301, the automation and intelligence of the rehabilitation training process is realized.

[0080] Embodiment 4

[0081] A storage medium, including a portable storage medium such as a USB flash drive, an SD card, etc., is used as a carrier of a computer program.

[0082] These storage media store computer executable programs for executing the above-mentioned rehabilitation training methods. These programs have been carefully designed and optimized and can be read and executed on any device with corresponding processing capabilities to achieve intelligent management of children's rehabilitation training. Users can easily start and run the rehabilitation training program by simply inserting the storage medium into a computer or other compatible device.

[0083] The embodiments and / or implementation methods described above are only used to illustrate the preferred embodiments and / or implementation methods for realizing the technology of the present invention, and are not intended to limit the implementation methods of the technology of the present invention in any form. Any technical personnel in this field may make slight changes or modifications to other equivalent embodiments without departing from the scope of the technical means disclosed in the content of the present invention, but they should still be regarded as technologies or embodiments that are essentially the same as the present invention.

[0084] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and its core ideas of this application. The above is only the preferred implementation method of this application. It should be pointed out that due to the limitations of textual expression and the objective existence of infinite specific structures, ordinary technicians in this technical field can make some improvements, modifications or changes without departing from the principles of this application, and combine the above technical features in an appropriate manner; the improvements, modifications, changes or combinations, or the direct application of the concept and technical solution of the invention to other occasions without improvement, should be regarded as the scope of protection of this application.

Claims

1. A children's rehabilitation training system, characterized in that: include: A mechanical support device, comprising a support structure and a resilient element, for providing support and guidance for a child's foot; A sensor network, including accelerometers, gyroscopes, and pressure sensors, is used to collect gait data of children in real time while walking and transmit it to the control system; A control system, based on a microprocessor or an embedded system, receives the gait data and performs real-time analysis and processing, and dynamically adjusts the state of the mechanical support device according to a preset gait correction algorithm and a personalized treatment plan; Data analysis and feedback module, which identifies abnormal gait patterns and generates personalized treatment recommendations and progress reports; User interface, which provides an operating interface for therapists to set treatment plans, adjust parameters and monitor the treatment process, while displaying real-time gait data and treatment effects.

2. The child rehabilitation training system according to claim 1, characterized in that: The mechanical support device comprises: Adjustable support force and angle adjustment mechanism, adjusted according to the control system instructions to optimize the gait correction effect, including: Determine the target support force and target angle error based on the gait data and , calculate the adjustment amounts ΔF and Δθ; The ΔF and Δθ are adjusted to adjust the support force and angle until the error is reduced to a preset range.

3. The child rehabilitation training system according to claim 1, characterized in that: The algorithms used in the data analysis and feedback module include: Laplace transform, Fourier transform, principal component analysis, independent component analysis, or support vector machine to extract key features from gait data and predict treatment effects.

4. The child rehabilitation training system according to claim 1, characterized in that: The control system adopts a closed-loop control strategy, including: a PID controller or an adaptive control algorithm, which dynamically adjusts the state of the mechanical support device according to real-time gait data to achieve a gait correction effect.

5. A child rehabilitation training method, characterized in that: include: Using the child rehabilitation training system according to claim 1 to collect gait data of the child; Analyzing gait data by the child rehabilitation training system of claim 1 to identify abnormal gait patterns; Based on the analysis results, personalized treatment recommendations and progress reports are generated, including adjustments to the support strength and angle of the mechanical support device, as well as expected treatment effect evaluation.

6. The child rehabilitation training method according to claim 5, characterized in that: Also includes: When collecting the gait data of the child, the walking process of the child is monitored in real time through the sensor network described in claim 1.

7. The child rehabilitation training method according to claim 5, characterized in that: When analyzing gait data, the child's age, weight, height, and historical treatment records were combined to identify abnormal gait patterns.

8. The child rehabilitation training method according to claim 5, characterized in that: After generating personalized treatment recommendations and progress reports, it also includes: The user interface described in claim 1 presents treatment recommendations and progress reports to therapists and parents, and provides interactive functions, allowing therapists and parents to adjust treatment plans based on feedback, and conduct real-time monitoring and dynamic adjustments during the treatment process.

9. A child rehabilitation training device, characterized in that: include: A memory for storing a computer executable program of a child rehabilitation training method according to any one of claims 5 to 8; A processor is used to call the computer executable program to execute: using the child rehabilitation training system described in claim 1 to collect the child's gait data; analyzing the gait data through the child rehabilitation training system described in claim 1 to identify abnormal gait patterns; and generating personalized treatment recommendations and progress reports based on the analysis results, including adjusting the support strength and angle of the mechanical support device, as well as the expected treatment effect evaluation.

10. A storage medium, characterized in that: include: A computer executable program is stored, and the computer executable program is used to be called by a processor to execute the steps of a child rehabilitation training method as described in any one of claims 5 to 8.

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