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

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...

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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, and proposes a method for realizing functional rehabilitation training of human upper limbs based on muscle sound signals. This method can be adjusted in real time. High precision and stability

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