DocumentCode :
1217207
Title :
Adaptive whitening in electromyogram amplitude estimation for epoch-based applications
Author :
Prakash, Punit ; Salini, Christian A. ; Tranquilli, John A. ; Brown, Donald R. ; Clancy, Edward A.
Author_Institution :
Electr. & Comput. Eng. Dept., Worcester Polytech. Inst., MA, USA
Volume :
52
Issue :
2
fYear :
2005
Firstpage :
331
Lastpage :
334
Abstract :
Epoch-based electromyogram (EMG) amplitude estimates have not incorporated signal whitening, even though whitening has demonstrated significant improvements for stream-based estimates. This work presents new epoch-based algorithms, for both single- and multiple-channel EMG, which include a whitening stage. The best multiple-channel whitening processor provided a 21.4%-22.5% improvement over single-channel unwhitened estimation in an EMG-to-torque application.
Keywords :
Wiener filters; adaptive filters; electromyography; estimation theory; medical signal processing; adaptive signal whitening; electromyogram amplitude estimation; epoch-based applications; multiple-channel whitening processor; Adaptive filters; Additive noise; Amplitude estimation; Biomedical computing; Biomedical engineering; Biomedical measurements; Biomedical signal processing; Electromyography; Motion control; Signal processing algorithms; Biomedical signal processing; EMG amplitude estimation; electromyography; functional electrical stimulation; myoelectric signal processing; whitening; Algorithms; Computer Simulation; Diagnosis, Computer-Assisted; Electromyography; Humans; Models, Biological; Models, Statistical; Muscle Contraction; Muscle, Skeletal; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2004.840498
Filename :
1386571
Link To Document :
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