Artificial neural nets in computer-aided macro motor unit potential classification

The use of macro electromyography to obtain a macro motor unit potential (MMUP) is described. At least 20 potentials are measured from a single muscle to obtain a reasonable estimate of the parameters of an average motor unit potential. The MMUP data are analyzed by means of the peak-to-peak amplitu...

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Bibliographic Details
Published inIEEE engineering in medicine and biology magazine Vol. 9; no. 3; pp. 31 - 38
Main Authors Schizas, C.N., Pattichis, C.S., Schofield, I.S., Fawcett, P.R., Middleton, L.T.
Format Journal Article
LanguageEnglish
Published United States IEEE 1990
Subjects
Artificial neural networks
Electrodes
Electromyography
Filters
Measurement units
Muscles
Needles
Nerve fibers
Neuromuscular
Neurons
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Summary:The use of macro electromyography to obtain a macro motor unit potential (MMUP) is described. At least 20 potentials are measured from a single muscle to obtain a reasonable estimate of the parameters of an average motor unit potential. The MMUP data are analyzed by means of the peak-to-peak amplitude and the integral of the central 50 ms of the signal. The possibility of using artificial neural networks (ANNs) to analyze the macro data in a way that makes no assumptions about the relationships between the parameters and without recourse to conventional modeling methods is discussed. The results of an analysis carried out on 820 MMUPs recorded from 41 subjects who were classified on the basis of a clinical opinion and the appearance of a muscle biopsy are presented and discussed.< >
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ISSN:0739-5175
1937-4186
DOI:10.1109/51.59210