SEMG Features Extraction For Prosthesis Control Purposes

Azmiratul Nur, Omar (2015) SEMG Features Extraction For Prosthesis Control Purposes. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 pages) SEMG Features Extraction For Prosthesis Control Purposes 24 Pages.pdf - Submitted Version Download (388kB)

Abstract

Daily routine can be so much different for amputees as they having hard time to balance their movement. As the technology went advance day by day, an amount of research has been pursued to overcome this matter. The study of pattern recognition of hand movement for prosthesis control purpose has aim to contribute in improvise the amputee‟s life after undergoing such unfortunate experiences in life. With hope that the device will more similarly function like a normal people‟s movement, plenty of method were discovered in order to enhance any possibility that might achieved. This study ensures two main objectives which are to extract the features of hand movement for surface electromyography (sEMG) in time domain and frequency domain. It is also to analysis and evaluate the features extracted using Wavelet Analysis. The focus for this bio signal approach is using the low density surface electromyography (sEMG) is more suitable to analyze the muscle bio potentials over an entire muscle belly. Throughout the processes, the subjects will be taken amongst three healthy men with same age but different body weight. The experiment will be conducted with several movements with three times of repetition. So, the first step will be to identify the suitable sensing element to gain the signal from the muscle activity. After that, implementation on the data acquisition by transmitting the data obtained to the computer‟s software MATLAB in order to display the signal outcomes. This study is generally more to analysis research where the feature signal obtained will be extracted in desired features and to be analyzing with suitable Wavelet Analysis. Finally, by selecting the applicable method, this study may leads to improvement at same field in future as well as helping the amputee‟s life in a better way.

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