Document Detail


Power spectrum analysis of the EMG pattern in normal and diseased muscles.
MedLine Citation:
PMID:  2614470     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The diagnostic value of analogue frequency analysis of EMG from patients with neuromuscular disorders has not been convincing. Using fast Fourier transformation it is today possible to obtain the EMG power spectrum on-line and with a better resolution. We examined the power spectrum of the EMG pattern of the brachial biceps muscle in 20 control subjects, 20 patients with myopathy, and 12 with neurogenic disorders. The electrical activity was sampled with a concentric needle electrode from 10 sites in each muscle. From each spectrum, mean power frequency, the power at 140 Hz, 1400 Hz, 2800 Hz and 4200 Hz relative to total power and the high/low ratio (1400/140) were obtained. The mean power frequency was higher at 10% than at 30% of maximal force. At a force of 30% of maximum the power spectrum analysis identified 55% and 64% of the patients with myopathy and neurogenic disorders, respectively. Although the diagnostic yield of the power spectrum analysis at a force of 10% of maximum was less than that at 30%, additional patients were identified at 10% increasing the diagnostic yield to 65% and 73% for patients with myopathy and neurogenic disorders, respectively. The best diagnostic parameters were the mean power frequency and the relative power at 1400 Hz.
Authors:
J Rønager; H Christensen; A Fuglsang-Frederiksen
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of the neurological sciences     Volume:  94     ISSN:  0022-510X     ISO Abbreviation:  J. Neurol. Sci.     Publication Date:  1989 Dec 
Date Detail:
Created Date:  1990-03-09     Completed Date:  1990-03-09     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0375403     Medline TA:  J Neurol Sci     Country:  NETHERLANDS    
Other Details:
Languages:  eng     Pagination:  283-94     Citation Subset:  IM    
Affiliation:
Department of Clinical Neurophysiology, Rigshospitalet, University of Copenhagen, Denmark.
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MeSH Terms
Descriptor/Qualifier:
Adolescent
Adult
Aged
Electromyography*
Female
Humans
Male
Middle Aged
Muscles / physiology*,  physiopathology
Muscular Diseases / physiopathology*
Nervous System Diseases / physiopathology*

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