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DC Field | Value | Language |
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dc.contributor.author | Zunaidi, Ibrahim | - |
dc.contributor.author | Ramachandran, Nagarajan, Prof. Dr. | - |
dc.contributor.author | Mohd Rizon, Mohamed Juhari, Prof. Dr. | - |
dc.contributor.author | Hazry, Desa, Dr. | - |
dc.contributor.author | Ruslizam, Daud | - |
dc.contributor.author | Azlin, C. O. | - |
dc.date.accessioned | 2011-10-24T03:34:40Z | - |
dc.date.available | 2011-10-24T03:34:40Z | - |
dc.date.issued | 2008-06-25 | - |
dc.identifier.citation | p. 187-190 | en_US |
dc.identifier.isbn | 978-3-5406-9138-9 | - |
dc.identifier.issn | 1680-0737 | - |
dc.identifier.uri | http://www.springerlink.com/content/mx36064643766ql2/fulltext.pdf | - |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/14873 | - |
dc.description | Link to publisher's homepage at http://www.springerlink.com/ | en_US |
dc.description.abstract | 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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer-Verlag | en_US |
dc.relation.ispartofseries | Proceedings of the 4th Kuala Lumpur International Conference on Biomedical Engineering 2008 (BIOMED 2008) | en_US |
dc.subject | Amputees | en_US |
dc.subject | MG signal | en_US |
dc.subject | MUAP | en_US |
dc.subject | Myoelectric control prosthesis | en_US |
dc.subject | Neuron | en_US |
dc.title | Electromyography signal based for intelligent prosthesis design | en_US |
dc.type | Working Paper | en_US |
dc.contributor.url | nagarajan@unimap.edu.my | en_US |
Appears in Collections: | Conference Papers Ramachandran, Nagarajan, Prof. Dr. Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr. Hazry Desa, Associate Prof.Dr. Ruslizam Daud, Assoc Prof. Ir. Dr. |
Files in This Item:
File | Description | Size | Format | |
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elec. signal based.pdf | 7.61 kB | Adobe PDF | View/Open |
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