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