CLASSIFICATION ALGORITHM OF ELECTROMYOGRAPHY SIGNALS

Abstract

This article presents a new algorithm for the classification of electromyography signals. The proposed algorithm has such qualities as high performance and high classification accuracy. The algorithm is based on linear discriminant analysis (LDA).

Existing System

EEG Based classification

Proposed System

This article presents a new algorithm for the classification of electromyography signals. This algorithm is necessary for the formation of the control action on the prosthesis. For this, the recording of EMG signals arising from the movement of the hand occurs. To form a control action, it is necessary to classify EMG signals. Classification is performed using a linear discriminant classifier (based on LDA).

Architecture

BLOCK DIAGRAM