articleTop 1% cited
Feature reduction and selection for EMG signal classification
Expert Systems with Applications · 2012 · Vol. 39(8) · pp. 7420–7431
Angkoon Phinyomark✉(Prince of Songkla University)Pornchai Phukpattaranont(Prince of Songkla University)Chusak Limsakul(Prince of Songkla University)
Muscle activation and electromyography studiesEEG and Brain-Computer InterfacesHand Gesture Recognition SystemsPattern recognition (psychology)Feature selectionComputer scienceClassifier (UML)Artificial intelligenceRedundancy (engineering)Feature extractionFrequency domainSignal processingSupport vector machine
Funding
- Royal Golden Jubilee (RGJ) Ph.D. Programme
Citations
1,464
FWCI
23.78
field-weighted impact
References
43
Percentile
100%
vs. same field & year
Citations per year
Cited by
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Self-Recalibrating Surface EMG Pattern Recognition for Neuroprosthesis Control Based on Convolutional Neural Network
Frontiers in Neuroscience · 2017 · 358 citations
References
A new strategy for multifunction myoelectric control
IEEE Transactions on Biomedical Engineering · 1993 · 2,108 citations
A wavelet-based continuous classification scheme for multifunction myoelectric control
IEEE Transactions on Biomedical Engineering · 2001 · 695 citations
Support Vector Machine-Based Classification Scheme for Myoelectric Control Applied to Upper Limb
IEEE Transactions on Biomedical Engineering · 2008 · 816 citations
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