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
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;
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
DOI :
10.1109/IEMBS.1989.95963
