Walking gait event detection based on electromyography signals using artificial neural network

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Walking gait event detection based on electromyography signals using artificial neural network

In many gait applications, the focal events are the stance and swing phases. Although detecting gait events using electromyography signals will help the development of assistive devices such as exoskeleton, orthoses, and prostheses, stance and swing phases have yet to be observed using electromyogra...

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Bibliographic Details
Main Authors:	Nazmi, Nurhazimah, Abdul Rahman, Mohd Azizi, Yamamoto, Shin Ichiroh, Ahmad, Siti Anom
Format:	Article
Language:	English
Published:	Elsevier 2019
Online Access:	http://psasir.upm.edu.my/id/eprint/82741/ http://psasir.upm.edu.my/id/eprint/82741/1/Walking%20gait%20event%20detection%20based%20on%20electromyography%20signals%20using%20artificial%20neural%20network.pdf

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