Blind separation of EMG and ENG cuff electrode recordings [for FES application]

Author

Winter, Jeff ; Rahal, Mouhamed ; Taylor, John ; Donaldson, Nick

Author_Institution

Dept. of Electron. & Electr. Eng., Univ. Coll. London, UK

Volume

1

fYear

1999

fDate

1999

Abstract

ENG signals recorded by cuff electrodes are usually contaminated by EMG activity from nearby muscles. Blind source separation is demonstrated as a method of separating these signals for use with FES applications

Keywords

adaptive signal processing; electromyography; filtering theory; higher order statistics; learning (artificial intelligence); medical signal processing; neural nets; neuromuscular stimulation; EMG activity; EMG cuff electrode recordings; ENG cuff electrode recordings; FES applications; blind source separation; control signal; cutaneous mechanoreceptors; digital nerve; electroneurographic signals; high-order statistical moments; learning algorithm; neural network based method; odd nonlinear functions; Electrodes; Electromyography; Equations; Humans; Neurofeedback; Neuromuscular stimulation; Prosthetics; Signal restoration; Skin; Tactile sensors;

fLanguage

English

Publisher

ieee

Conference_Titel

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint

Conference_Location

Atlanta, GA

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.802659

Filename

802659