Interactive rehabilitation system based on myoelectricity intelligent wearing

Abstract

The invention provides an interactive rehabilitation system based on myoelectricity intelligent wearing. The interactive rehabilitation system comprises wearable myoelectricity acquisition equipment, a hand myoelectricity active training interface, a physiological state analysis module and a bionic manipulator control module. The wearable myoelectricity acquisition equipment comprises an electrode patch, a lead wire, a bioelectricity signal acquisition module, an STM32 microprocessor, a WIFI wireless data transmission circuit and a gyroscope circuit which are connected in sequence. The hand myoelectricity active training interface comprises a mobile phone terminal display screen, a WIFI module and a mobile phone terminal processor and is used for training hand actions. The physiological state analysis module recognizes the current intention action of a user through multiple methods and sends an action instruction to the bionic manipulator control module. And the bionic manipulator control equipment controls the bionic manipulator equipment through wireless transmission according to a result output by the physiological state analysis module. The interaction between the hand action and the manipulator is achieved through data acquisition, processing and control, and then the purpose of hand muscle rehabilitation is achieved.

Description

technical field [0001] The invention relates to a system for hand recognition action. In particular, it involves an interactive rehabilitation system based on myoelectric smart wear. Background technique [0002] In body movement, hand movement is an indispensable body language in life, which is widely used in daily communication. With the development of science and technology, the intelligent recognition and application of hand movement has gradually entered daily life. Become a manifestation of intelligent life. Collecting human hand muscle electrical signals, classifying and recognizing them, understanding human gesture intentions, and then making relevant responses has gradually become an important trend in an intelligent life. Before performing hand movements, corresponding hand muscle electrical signals will be generated. [0003] Whenever the cells in the hand are stimulated by electric shocks or activated by nerves, the human body will generate corresponding muscl...

AI Technical Summary

Problems solved by technology

[0005] However, most of the existing multi-channel EMG acquisition devices are expensive, bulky, cumbersome to operate, and cannot be classified in real time. Wearable EMG acquisition devices generally have shortcomings such as insufficient accuracy and fewer channels.

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