Title :
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
fDate :
30 Oct-2 Nov 1997
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-4262-3
DOI :
10.1109/IEMBS.1997.757015
