Track: High School STEM Competition

Abstract

In this study, the classification of electromyography signals for use as a method for effective control of the hand of a folding mechanism developed for people with wrist amputations who need prosthetic arms was studied.

For the classification of EMG signals, it consisted of a 4-channel EMG detector, amplifier, filter, A/D conversion, monitoring system, and analysis system.

The system for EMG analysis used in this study consisted of four channels, allowing four muscles to accept and monitor EMG signals.

It can be used as an effective signal to control artificial limbs by measuring electromyography signals in each channel in six movements, measuring signals in four muscles for each movement, and classifying signals, and it is expected that a control method that can be used to control various movements as well as the artificial limbs that have implemented one degree of freedom so far can be implemented.

Keywords

Electric prosthesis, control method, electromyography, classification of signals and EMG