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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| Format: | Thesis |
| Language: | English English |
| Published: |
2018
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| 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 http://eprints.utem.edu.my/id/eprint/23299/ https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=112688 |
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http://eprints.utem.edu.my/id/eprint/23299/1/Spectral%20Estimation%20And%20Supervised%20Classification%20Technique%20For%20Real%20Time%20Electromyography%20Pattern%20Recognition.pdfhttp://eprints.utem.edu.my/id/eprint/23299/2/Spectral%20Estimation%20And%20Supervised%20Classification%20Technique%20For%20Real%20Time%20Electromyography%20Pattern%20Recognition.pdf
http://eprints.utem.edu.my/id/eprint/23299/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=112688