Electromyography signal based for intelligent prosthesis design
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my.unimap-148732011-10-24T03:34:40Z Electromyography signal based for intelligent prosthesis design Zunaidi, Ibrahim Ramachandran, Nagarajan, Prof. Dr. Mohd Rizon, Mohamed Juhari, Prof. Dr. Hazry, Desa, Dr. Ruslizam, Daud Azlin, C. O. nagarajan@unimap.edu.my Amputees MG signal MUAP Myoelectric control prosthesis Neuron Link to publisher's homepage at http://www.springerlink.com/ Electromyography (EMG) is widely used throughout the world for different study such as clinical diagnosis and for movement analysis. One of the applications of EMG is in the development of myoelectric prosthesis. It is intended by all the biomechanics engineer in order to provide better living to the amputees since the current prosthesis are limited. It is principally operated based on the EMG signal generated from muscle contraction. Therefore, the challenge to develop myoelectric prosthesis devices begins with the challenging part to understand completely the principles of electromyography (EMG). Knowledge of EMG could lead the researcher to apply the signal correctly. This conceptual paper will provide better understanding and framework in process to develop such intelligent prosthesis. 2011-10-24T03:34:40Z 2011-10-24T03:34:40Z 2008-06-25 Working Paper p. 187-190 978-3-5406-9138-9 1680-0737 http://www.springerlink.com/content/mx36064643766ql2/fulltext.pdf http://hdl.handle.net/123456789/14873 en Proceedings of the 4th Kuala Lumpur International Conference on Biomedical Engineering 2008 (BIOMED 2008) Springer-Verlag |
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Amputees MG signal MUAP Myoelectric control prosthesis Neuron |
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Amputees MG signal MUAP Myoelectric control prosthesis Neuron Zunaidi, Ibrahim Ramachandran, Nagarajan, Prof. Dr. Mohd Rizon, Mohamed Juhari, Prof. Dr. Hazry, Desa, Dr. Ruslizam, Daud Azlin, C. O. Electromyography signal based for intelligent prosthesis design |
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Link to publisher's homepage at http://www.springerlink.com/ |
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nagarajan@unimap.edu.my |
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nagarajan@unimap.edu.my Zunaidi, Ibrahim Ramachandran, Nagarajan, Prof. Dr. Mohd Rizon, Mohamed Juhari, Prof. Dr. Hazry, Desa, Dr. Ruslizam, Daud Azlin, C. O. |
format |
Working Paper |
author |
Zunaidi, Ibrahim Ramachandran, Nagarajan, Prof. Dr. Mohd Rizon, Mohamed Juhari, Prof. Dr. Hazry, Desa, Dr. Ruslizam, Daud Azlin, C. O. |
author_sort |
Zunaidi, Ibrahim |
title |
Electromyography signal based for intelligent prosthesis design |
title_short |
Electromyography signal based for intelligent prosthesis design |
title_full |
Electromyography signal based for intelligent prosthesis design |
title_fullStr |
Electromyography signal based for intelligent prosthesis design |
title_full_unstemmed |
Electromyography signal based for intelligent prosthesis design |
title_sort |
electromyography signal based for intelligent prosthesis design |
publisher |
Springer-Verlag |
publishDate |
2011 |
url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/14873 |
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1643790905570754560 |
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13.222552 |