Biorobotics: Optimized biosignal classification using mother wavelet matrix

Biorobotics: Optimized biosignal classification using mother wavelet matrix

This paper presents a new technique to optimally classify forearm electromyographic (EMG) measures using proposed mother wavelet matrix (MWM) for biorobots. Among 324 mother wavelet candidates, a MWM including 15 potential mother wavelet functions were selected to optimally classify surface and intr...

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Hauptverfasser: Rafiee, J., Rafiee, M.A., Prause, N., Schoen, M.P.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Biomedical measurements
Electromyography
Prosthetic hand
Psychology
Signal processing
Surface waves
Wavelet analysis
Wavelet coefficients
Wavelet transforms
Wrist
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Beschreibung
Zusammenfassung:This paper presents a new technique to optimally classify forearm electromyographic (EMG) measures using proposed mother wavelet matrix (MWM) for biorobots. Among 324 mother wavelet candidates, a MWM including 15 potential mother wavelet functions were selected to optimally classify surface and intramuscular EMG signals collected from multiple locations on the upper forearm of six subjects for nine classes of hand motions plus a rest state.
ISSN:2160-6986
2160-7028
DOI:10.1109/NEBC.2009.4967645