Document Detail


Motor unit conduction velocity distribution estimation from evoked motor responses.
MedLine Citation:
PMID:  16602567     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Action potentials travel along the muscle fibers with a specific conduction velocity that depends on their structural and functional properties. Only the estimation of muscle conduction velocity distribution (MCVD) may be able to depict this propagation heterogeneity. Based on the method proposed by Cummins et al. (Electroenceph Clin Neurophysiol, 46:647-658, 1979) to estimate nerve conduction velocity distribution (NCVD), the present paper proposes a method that modifies the Cummins' approach to make it suitable for MCVD estimation from electrically evoked motor responses. The MCVD estimation algorithm was first assessed by means of simulated signals in order to control all signal features during the optimization process. Simulations showed that estimated distributions were very close to the true ones when taking into account the specificities of the muscle action potential, due to its generation and extinction (MSE divided by 5 on distribution standard deviation). This method was then applied to real signals. Elicited motor responses were recorded on the biceps brachii of healthy subjects either during repeated maximal stimulations at 20 Hz or during increasing intensity stimulations at 1 Hz. MCVD estimates were used to analyze fatigue and motor unit recruitment processes, respectively.
Authors:
Isabelle Ledoux; María-Teresa García-González; Jacques Duchêne; Jean-Yves Hogrel
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Publication Detail:
Type:  Clinical Trial; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  IEEE transactions on bio-medical engineering     Volume:  53     ISSN:  0018-9294     ISO Abbreviation:  IEEE Trans Biomed Eng     Publication Date:  2006 Apr 
Date Detail:
Created Date:  2006-04-10     Completed Date:  2006-05-02     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0012737     Medline TA:  IEEE Trans Biomed Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  608-16     Citation Subset:  IM    
Affiliation:
Institut de Myologie, Groupe Hospitalier Pitié-Salpêtrière, 75651 Paris 13, France.
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MeSH Terms
Descriptor/Qualifier:
Action Potentials / physiology*
Algorithms*
Computer Simulation
Diagnosis, Computer-Assisted / methods
Evoked Potentials, Motor / physiology*
Humans
Models, Neurological
Motor Neurons / physiology*
Muscle Fibers, Skeletal / physiology*
Muscle, Skeletal / physiology*
Neural Conduction / physiology*
Reproducibility of Results
Sensitivity and Specificity

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


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