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