DocumentCode
1705228
Title
A correlated multi-myoelectric channel model and its SNR characteristics
Author
Zhang, Y.T. ; Parker, Philip A. ; Scott, R.N.
Author_Institution
Biomed. Eng. Inst., New Brunswick Univ., Fredericton, NB
fYear
1989
Firstpage
747
Abstract
A multi-myoelectric channel (multi-MEC) model for improvement of the signal-to-noise ratio (SNR) is presented. A channel performance analysis is carried out for the correlated multi-MEC. It is shown that the SNR depends on both physiological parameters such as mean firing rate and number of motor units and electric parameters such as correlation coefficient and the number of myoelectric channels
Keywords
bioelectric potentials; muscle; physiological models; channel performance analysis; correlated multi-myoelectric channel model; correlation coefficient; electric parameters; mean firing rate; motor units number; myoelectric channels number; physiological parameters; signal-to-noise ratio; Biomedical engineering; Biomedical signal processing; Control systems; Costs; Delay; Electrodes; Filters; Performance analysis; Signal analysis; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location
Seattle, WA
Type
conf
DOI
10.1109/IEMBS.1989.95963
Filename
95963
Link To Document