Document Detail


Motor unit conduction velocity distribution estimation: assessment of two short-term processing methods.
MedLine Citation:
PMID:  12043809     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Muscle fibre conduction velocity (MFCV) can be used as an index of the structural and/or functional modifications that can occur during fatigue or pathological processes. Current evaluation of MFCV from surface electromyography (SEMG) classically produces an average value. However, a single mean value is not sufficient when modifications affect only a small part of the conduction velocity distribution. In such a case, an estimation of the whole motor unit conduction velocity distribution (MUCV) would be advantageous. The aim of this study was the evaluation of the quality of two short-term methods based on cross-correlation (CC) and peak-to-peak (PP) estimation. A comprehensive simulation program was used to generate signals with known MUCV distributions. The Dmax statistic of Kolmogorov-Smirnov was used as an error criterion to quantify the estimation error and to optimise the MUCV distribution computation algorithms. The minimum error was observed for an analysing window of 10ms for PP and 15ms for CC. Dmax was significantly lower for PP (0.195+/-0.054) than for CC (0.343+/-0.073). Various simulations showed the strong effect of the variance of the true distribution on the features of the estimated ones. Clinical data measured on the abductor pollicis brevis were studied. MUCV was estimated on a healthy subject (3.63+/-0.87ms(-1)), a patient suffering from a myopathy (2.73+/-0.51ms(-1)) and one suffering from a neuropathy (4.38+/-0.23ms(-1)). The results demonstrate the overall superiority of a peak-to-peak approach.
Authors:
J Y Hogrel; J Duchêne
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Publication Detail:
Type:  Case Reports; Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Medical & biological engineering & computing     Volume:  40     ISSN:  0140-0118     ISO Abbreviation:  Med Biol Eng Comput     Publication Date:  2002 Mar 
Date Detail:
Created Date:  2002-06-04     Completed Date:  2002-06-24     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  7704869     Medline TA:  Med Biol Eng Comput     Country:  England    
Other Details:
Languages:  eng     Pagination:  253-9     Citation Subset:  IM    
Affiliation:
Institut de Myologie, Groupe Hospitalier Pitié-Salpêtrière, Paris, France. jy.hogrel@myologie.chups.jussieu.fr
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MeSH Terms
Descriptor/Qualifier:
Adult
Amyotrophic Lateral Sclerosis / physiopathology
Analysis of Variance
Case-Control Studies
Computer Simulation*
Electromyography
Female
Humans
Male
Muscle Fibers, Skeletal / physiology*
Muscular Dystrophies / physiopathology
Neural Conduction*
Signal Processing, Computer-Assisted*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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