Title :
Myoelectric Signal Processing: Optimal Estimation Applied to Electromyography - Part I: Derivation of the Optimal Myoprocessor
Author :
Hogan, Neville ; Mann, Robert W.
Author_Institution :
Department of Mechanical Engineering, Massachusetts Institute of Technology
fDate :
7/1/1980 12:00:00 AM
Abstract :
This paper (Part I of II) describes the development of a novel technique for processing the electrical activity of muscle which uses multiple channels of myoelectric activity. A phenomenological mathematical model of myoelectric activity is formulated. From this model, a mathematical statement of the optimal myoelectric signal processor is derived, and some of its properties are investigated. This mathematical statement encompasses and places in perspective almost all single-channel myoprocessor developments to date, as well as specifying the optimal multiple-channel myoprocessor. An experimental demonstration of the efficacy of this processor is presented in a subsequent paper (Part II).
Keywords :
Biomedical engineering; Covariance matrix; Educational technology; Eigenvalues and eigenfunctions; Electromyography; Mathematical model; Muscles; Neurofeedback; Prosthetics; Signal processing; Electric Stimulation; Electromyography; Humans; Mathematics; Models, Biological; Muscles;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.1980.326652