Design Of Feature Selection Methods For Hand Movement Classification Based On Electromyography Signals
Recently, electromyography (EMG) has received much attention from the researchers in rehabilitation, engineering, and clinical areas. Due to the rapid growth of technology, the multifunctional myoelectric prosthetic has become viable. Nevertheless, an increment in the number of EMG features has led...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2020
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| Online Access: | http://eprints.utem.edu.my/id/eprint/25426/1/Design%20Of%20Feature%20Selection%20Methods%20For%20Hand%20Movement%20Classification%20Based%20On%20Electromyography%20Signals.pdf http://eprints.utem.edu.my/id/eprint/25426/2/Design%20Of%20Feature%20Selection%20Methods%20For%20Hand%20Movement%20Classification%20Based%20On%20Electromyography%20Signals.pdf |
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http://eprints.utem.edu.my/id/eprint/25426/1/Design%20Of%20Feature%20Selection%20Methods%20For%20Hand%20Movement%20Classification%20Based%20On%20Electromyography%20Signals.pdfhttp://eprints.utem.edu.my/id/eprint/25426/2/Design%20Of%20Feature%20Selection%20Methods%20For%20Hand%20Movement%20Classification%20Based%20On%20Electromyography%20Signals.pdf