Bionformatics System with Wrist Joint Movement Classfier Based on Fuzzy Logic

The paper considers research and development of bioinformatics system based on the electromyography data (EMG). We consider a multilevel structure for EMG signal processing with the focus on collecting information of the wrist joint movement and recognition of the motion type with the fuzzy logic classifier. The simulation results show high probability of movement type detection (95%), which proves the possibility of applying the proposed approaches in control systems for multifunction prostheses.

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