Signal-to-noise ratios of the myoelectric channel with additive noise

Author

Zhang, Y.T. ; Parker, P.A. ; Scott, R.N.

Author_Institution

Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong

Volume

4

fYear

1997

fDate

30 Oct-2 Nov 1997

Firstpage

1582

Abstract

The output signal-to-noise ratio (SNR) of a myoelectric signal processor is an important performance measure of the myoelectric channel for powered artificial limbs. In this paper, the SNR is analyzed theoretically by viewing the skeletal muscle as a myoelectric communication channel. A general SNR expression for the channel with additive noise is obtained and, in particular, power line interference is studied to determine its influence on the channel performance

Keywords

artificial limbs; electromyography; interference (signal); noise; performance index; additive noise; myoelectric communication channel; myoelectric signal processor; output signal-to-noise ratio; performance measure; power line interference; powered artificial limbs; skeletal muscle; Additive noise; Background noise; Control systems; Interference; Muscles; Parameter estimation; Pollution measurement; Rectifiers; Signal processing; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1094-687X

Print_ISBN

0-7803-4262-3

Type

conf

DOI

10.1109/IEMBS.1997.757015

Filename

757015