Spectral Estimation And Supervised Classification Technique For Real Time Electromyography Pattern Recognition

Electromyography (EMG) signal is a biomedical signal which measures physical activity of human muscle.It has been acknowledged to be widely used in rehabilitation or recovery application system assisting physiotherapist to monitor a patient’s physical strength,function,motion and overall well-being...

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Bibliographic Details

Main Author:	Burhan, Nuradebah
Format:	Thesis
Language:	English English
Published:	2018
Subjects:	T Technology (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utem.edu.my/id/eprint/23299/1/Spectral%20Estimation%20And%20Supervised%20Classification%20Technique%20For%20Real%20Time%20Electromyography%20Pattern%20Recognition.pdf http://eprints.utem.edu.my/id/eprint/23299/2/Spectral%20Estimation%20And%20Supervised%20Classification%20Technique%20For%20Real%20Time%20Electromyography%20Pattern%20Recognition.pdf