DocumentCode :
1566792
Title :
Biorobotics: Optimized biosignal classification using mother wavelet matrix
Author :
Rafiee, J. ; Rafiee, M.A. ; Prause, N. ; Schoen, M.P.
Author_Institution :
Dept. of Mech., Rensselaer Polytech. Inst., Troy, NY
fYear :
2009
Firstpage :
1
Lastpage :
2
Abstract :
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.
Keywords :
biomedical measurement; electromyography; medical robotics; medical signal processing; signal classification; wavelet transforms; biorobotics; biosignal classification; electromyographic measurement; intramuscular EMG signal; mother wavelet matrix; Biomedical measurements; Electromyography; Prosthetic hand; Psychology; Signal processing; Surface waves; Wavelet analysis; Wavelet coefficients; Wavelet transforms; Wrist;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioengineering Conference, 2009 IEEE 35th Annual Northeast
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4362-8
Electronic_ISBN :
978-1-4244-4364-2
Type :
conf
DOI :
10.1109/NEBC.2009.4967645
Filename :
4967645
Link To Document :
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