Motion capture-based rehabilitation training difficulty adaptive system
By combining motion capture technology and modules, the difficulty of rehabilitation training can be adaptively adjusted, solving the problem of inaccurate switching between training phases and improving training effectiveness.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- JIAXING CITY NO 2 HOSPITAL
- Filing Date
- 2026-03-03
- Publication Date
- 2026-06-05
AI Technical Summary
Existing rehabilitation training equipment is not very accurate when switching between different training segments, resulting in poor training effects.
The rehabilitation training difficulty adaptive system based on motion capture is adopted, including a signal processing module, a muscle movement acquisition module, an electrical stimulation module, an adaptive adjustment module, and a neuromuscular evaluation module. The training difficulty is adjusted in real time through motion capture technology, which is divided into six stages. Each stage sets ten standard movements, and the training difficulty is adjusted according to the repetition rate.
It enables precise acquisition of rehabilitation training movement trajectories and speeds, ensuring accurate switching of training difficulty and improving training effectiveness.
Smart Images
Figure CN122157958A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of rehabilitation training technology, specifically to a rehabilitation training difficulty adaptive system based on motion capture. Background Technology
[0002] Rehabilitation training is a series of activities designed to help individuals recover function and improve their quality of life after injury, illness, or surgery. This training can be physical, vocational, or verbal, depending on the individual's needs.
[0003] When patients undergo rehabilitation training, rehabilitation training equipment is needed to train them. However, the training cannot be divided into segments in a timely manner, and the accuracy of switching between segments is not high. Summary of the Invention
[0004] Technical problems to be solved To address the shortcomings of existing technologies, this invention provides a motion capture-based adaptive rehabilitation training difficulty system, which solves the problem of inaccurate switching between segmented training sessions.
[0005] Technical solution To achieve the above objectives, the present invention provides the following technical solution: a motion capture-based adaptive rehabilitation training difficulty system, comprising a signal processing module, a muscle movement acquisition module, an electrical stimulation module, an adaptive adjustment module, and a neuromuscular evaluation module. The output of the signal processing module is connected to the adaptive adjustment module and the neuromuscular evaluation module. The output of the muscle movement acquisition module is connected to the input of the signal processing module. The output of the electrical stimulation module is connected to the input of the muscle movement acquisition module. The output of the adaptive adjustment module is connected to the input of the electrical stimulation module. The input of the muscle movement acquisition module is connected to a magnetometer, a gyroscope, and an ADC. The signal processing module is used to process signal data; The muscle movement acquisition module is used to collect the patient's movement trajectory and speed. The electrical stimulation module is used for the patient's muscle rehabilitation training; The adaptive adjustment module is used to adjust the rehabilitation training phase; The neuromuscular evaluation module is used to evaluate muscle nerves.
[0006] Preferably, the self-adaptive adjustment module is divided into a six-stage rehabilitation training exercise library. The six stages are divided into zero stage, low stage, low-middle stage, middle stage, high-middle stage and high stage, with ten standard movements in each stage.
[0007] Preferably, the output of the neuromuscular evaluation module is connected to a real-time display module, which uses a display screen for display.
[0008] Preferably, after the rehabilitation training exercise library is established, the patient's initial rehabilitation training movements are set, and the patient's movement trajectory and movement speed are collected. The collected data is compared with the movement parameters of the normal rehabilitation training database. When the repetition rate reaches 80%, the difficulty is increased, and the patient enters the next stage of higher rehabilitation training movements. When the repetition rate is less than 40%, the difficulty is reduced, and the patient enters the previous stage of rehabilitation training movements.
[0009] Preferably, the neuromuscular evaluation module is connected to the adaptive adjustment module.
[0010] Preferably, the magnetometer, gyroscope, and ADC are all connected together.
[0011] Beneficial effects This invention provides a rehabilitation training difficulty adaptive system based on motion capture. It has the following beneficial effects: Equipped with signal processing, muscle movement acquisition, electrical stimulation, adaptive adjustment, and neuromuscular evaluation modules, this system facilitates the acquisition of movement trajectories and speeds during rehabilitation training, and allows for accurate switching between adaptive and adjustable training difficulty levels. Attached Figure Description
[0012] Figure 1 This is a schematic diagram of the present invention; Figure 2 This is a control chart used in this invention. Detailed Implementation
[0013] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0014] Example 1: like Figure 1 , Figure 2 As shown, this embodiment of the invention provides a rehabilitation training difficulty adaptive system based on motion capture, including a signal processing module, a muscle movement acquisition module, an electrical stimulation module, an adaptive adjustment module, and a neuromuscular evaluation module. The output of the signal processing module is connected to the adaptive adjustment module and the neuromuscular evaluation module. The output of the muscle movement acquisition module is connected to the input of the signal processing module. The output of the electrical stimulation module is connected to the input of the muscle movement acquisition module. The output of the adaptive adjustment module is connected to the input of the electrical stimulation module. The input of the muscle movement acquisition module is connected to a magnetometer, a gyroscope, and an ADC. The signal processing module is used to process signal data.
[0015] The muscle movement acquisition module is used to collect the patient's movement trajectory and speed.
[0016] The electrical stimulation module is used for muscle rehabilitation training for patients.
[0017] The self-adaptive adjustment module is used to adjust the rehabilitation training phase.
[0018] The neuromuscular evaluation module is used to evaluate muscle nerves.
[0019] The self-adaptive adjustment module is divided into a six-stage rehabilitation training exercise library. The six stages are: zero stage, low stage, low-middle stage, middle stage, high-middle stage, and high stage. Each stage has ten standard movements. After the rehabilitation training exercise library is established, the patient's initial rehabilitation training movements are set, and the patient's movement trajectory and speed are collected. The collected data is compared with the movement parameters in the normal rehabilitation training database. When the repetition rate reaches 80%, the difficulty is increased, and the patient enters the next stage of higher rehabilitation training movements. When the repetition rate is less than 40%, the difficulty is reduced, and the patient enters the previous stage of rehabilitation training movements. The neuromuscular evaluation module is connected to the self-adaptive adjustment module. The magnetometer, gyroscope, and ADC are all connected. The magnetometer, gyroscope, and ADC work together to facilitate the collection of the patient's movement trajectory and speed.
[0020] Example 2: Based on Example 1, such as Figure 1 , Figure 2 As shown, this embodiment of the invention provides a rehabilitation training difficulty adaptive system based on motion capture, including a signal processing module, a muscle movement acquisition module, an electrical stimulation module, an adaptive adjustment module, and a neuromuscular evaluation module. The output of the signal processing module is connected to the adaptive adjustment module and the neuromuscular evaluation module. The output of the muscle movement acquisition module is connected to the input of the signal processing module. The output of the electrical stimulation module is connected to the input of the muscle movement acquisition module. The output of the adaptive adjustment module is connected to the input of the electrical stimulation module. The input of the muscle movement acquisition module is connected to a magnetometer, a gyroscope, and an ADC. The signal processing module is used to process signal data.
[0021] The muscle movement acquisition module is used to collect the patient's movement trajectory and speed.
[0022] The electrical stimulation module is used for muscle rehabilitation training for patients.
[0023] The self-adaptive adjustment module is used to adjust the rehabilitation training phase.
[0024] The neuromuscular evaluation module is used to evaluate muscle nerves.
[0025] The self-adaptive adjustment module is divided into a six-stage rehabilitation training exercise library. The six stages are: zero stage, low stage, low-middle stage, middle stage, high-middle stage, and high stage. Each stage has ten standard movements. After the rehabilitation training exercise library is established, the patient's initial rehabilitation training movements are set, and the patient's movement trajectory and speed are collected. The collected data is compared with the movement parameters in the normal rehabilitation training database. When the repetition rate reaches 80%, the difficulty is increased, and the patient enters the next stage of higher rehabilitation training movements. When the repetition rate is less than 40%, the difficulty is reduced, and the patient enters the previous stage of rehabilitation training movements. The neuromuscular evaluation module is connected to the self-adaptive adjustment module. The magnetometer, gyroscope, and ADC are all connected. The magnetometer, gyroscope, and ADC work together to facilitate the collection of the patient's movement trajectory and speed.
[0026] The output of the neuromuscular evaluation module is connected to a real-time display module, which uses a display screen to show the results, allowing patients to easily observe their own recovery progress.
[0027] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.
Claims
1. A rehabilitation training difficulty adaptive system based on motion capture, characterized in that, It includes a signal processing module, a muscle movement acquisition module, an electrical stimulation module, an adaptive adjustment module, and a neuromuscular evaluation module. The output of the signal processing module is connected to the adaptive adjustment module and the neuromuscular evaluation module. The output of the muscle movement acquisition module is connected to the input of the signal processing module. The output of the electrical stimulation module is connected to the input of the muscle movement acquisition module. The output of the adaptive adjustment module is connected to the input of the electrical stimulation module. The input of the muscle movement acquisition module is connected to a magnetometer, a gyroscope, and an ADC. The signal processing module is used to process signal data; The muscle movement acquisition module is used to collect the patient's movement trajectory and speed. The electrical stimulation module is used for the patient's muscle rehabilitation training; The adaptive adjustment module is used to adjust the rehabilitation training phase; The neuromuscular evaluation module is used to evaluate muscle nerves.
2. The rehabilitation training difficulty adaptive system based on motion capture according to claim 1, characterized in that: The self-adaptive adjustment module is divided into a six-stage rehabilitation training exercise library. The six stages are divided into zero stage, low stage, low-middle stage, middle stage, high-middle stage and high stage, with ten standard movements in each stage.
3. The motion capture-based adaptive rehabilitation training difficulty system according to claim 1, characterized in that: The output of the neuromuscular evaluation module is connected to a real-time display module, which uses a display screen for display.
4. The motion capture-based adaptive rehabilitation training difficulty system according to claim 2, characterized in that: After the rehabilitation training exercise database is established, the initial rehabilitation training movements for the patient are set, and the patient's movement trajectory and speed are collected. The collected data is compared with the movement parameters of the normal rehabilitation training database. When the repetition rate reaches 80%, the difficulty is increased, and the patient enters the next stage of higher rehabilitation training movements. When the repetition rate is less than 40%, the difficulty is reduced, and the patient enters the previous stage of rehabilitation training movements.
5. The rehabilitation training difficulty adaptive system based on motion capture according to claim 1, characterized in that: The neuromuscular evaluation module is connected to the adaptive adjustment module.
6. The rehabilitation training difficulty adaptive system based on motion capture according to claim 1, characterized in that: The magnetometer, gyroscope, and ADC are all connected.