Human body upper limb functional rehabilitation training implement method based on muscle tone signals

A technology of rehabilitation training and realization method, applied in passive exercise equipment, physical therapy and other directions, can solve the problems of uneven distribution of muscle fibers, difficult test control, etc., to achieve improvement effect, achieve industrialization goals, high accuracy and stability Effect

Inactive Publication Date: 2012-08-01
UNIV OF SHANGHAI FOR SCI & TECH
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  • Abstract
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Problems solved by technology

[0006] The present invention aims at the problem of uneven distribution of muscle fibers and difficult test control in the process of muscle contraction to generate muscle strength in retraining,

Method used

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  • Human body upper limb functional rehabilitation training implement method based on muscle tone signals
  • Human body upper limb functional rehabilitation training implement method based on muscle tone signals
  • Human body upper limb functional rehabilitation training implement method based on muscle tone signals

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[0027] Such as figure 1 The structural block diagram of the human upper limb functional rehabilitation training system based on muscle tone signals is shown, including MMG signal piezoelectric sensor 1, preamplifier circuit 2, active low-pass filter circuit 3, A / D conversion module 4, and digital signal acquisition module 5 , Digital signal processing and feature extraction module 6, signal action pattern recognition module 7, and virtual reality animation feedback module 8. The MMG muscle sound signal sensor 1 is fixed on the epidermis of the biceps brachii muscle of the upper limb of the human body. When the muscle contracts, the MMG muscle sound signal sensor 1 converts the original mechanical vibration muscle sound signal into a voltage signal, and the signal is converted by the preamplifier circuit 2. Amplify to the volt level, filter out the high-frequency part contained in the signal through the Butterworth active low-pass filter circuit 3, and then the signal is convert...

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Abstract

The invention relates to a human body upper limb functional rehabilitation training implement method based on muscle tone signals. A piezoelectric sensor is arranged on the surface of muscle skins to collect human body physiological random muscle tone signal monoclonal gamma globulin (MMG), collected human body physiological random muscle tone signals contain muscle contraction motion signals which are amplified and filtered by a preprocessing circuit, analog digital conversion is performed on the muscle contraction motion signals through an analog/digital conversion circuit, then the muscle contraction motion signals are led into a personal computer (PC) machine to perform characteristic extraction and pattern recognition to output control signals on behalf of different motion modes to control three-dimensional human body upper limb model motion in virtual environment, subjects can perform different model view controller (MVC) % motion modes in real time on human body upper limb models according to view feedback in the virtual environment, and finally the purpose of functional rehabilitation training is achieved. The human body upper limb functional rehabilitation training implement method is high in accuracy and stability, can achieve the purpose of industrialization and can widen scope of applicable persons.

Description

technical field [0001] The invention relates to a medical equipment control system, in particular to a method for realizing functional rehabilitation training of human upper limbs based on muscle sound signals. Background technique [0002] The muscle sound signal MMG is a mechanical phenomenon in which muscle fibers vibrate laterally due to uneven distribution and other factors during the process of muscle contraction to generate muscle force, which manifests itself as a mechanical phenomenon that emits mechanical waves on a macroscopic level. Its main features are: large signal amplitude; good stability; strong anti-interference ability, etc. Compared with traditional EMG signals, MMG signals are essentially mechanical vibration signals; in addition, they are also affected by other external factors, such as muscle fatigue, skin moisture, etc. Therefore, it is an important development direction. [0003] At present, some progress has been made in the research on muscle sou...

Claims

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Application Information

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IPC IPC(8): A61H1/00
Inventor 易金花喻洪流李继才赵胜楠官龙
Owner UNIV OF SHANGHAI FOR SCI & TECH
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