Electromyography signal based for intelligent prosthesis design

Link to publisher's homepage at http://www.springerlink.com/

Saved in:
Bibliographic Details
Main Authors: Zunaidi, Ibrahim, Ramachandran, Nagarajan, Prof. Dr., Mohd Rizon, Mohamed Juhari, Prof. Dr., Hazry, Desa, Dr., Ruslizam, Daud, Azlin, C. O.
Other Authors: nagarajan@unimap.edu.my
Format: Working Paper
Language:English
Published: Springer-Verlag 2011
Subjects:
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/14873
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-14873
record_format dspace
spelling 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
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Amputees
MG signal
MUAP
Myoelectric control prosthesis
Neuron
spellingShingle 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
description Link to publisher's homepage at http://www.springerlink.com/
author2 nagarajan@unimap.edu.my
author_facet 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
_version_ 1643790905570754560
score 13.214268