Document Detail


A statistical approach to sensorimotor strategies: conjugate cross-correlations.
MedLine Citation:
PMID:  15753063     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
A simple method, based on cross-correlation functions (CCFs) between two time series of kinematic or physiological measurements, is proposed for the analysis of multisegmental movements. Special emphasis is placed on measuring accelerations. When the movements of two body segments are coordinated but consistently time lagged, their CCF displays a peak at the corresponding time abscissa. The reproducible positions of the peaks reflect biomechanical or physiological constraints. Several significantly large peaks can be observed in a CCF. It is possible to identify coordinated movements involving more than two segments by applying simple rules of compatibility between the time lags and between the signs of the correlation peaks. With the method proposed, it is possible to determine the signs of relative variation and the time lags of the successive statistically correlated segmental movements. This is particularly useful in the case of both continuous and periodic sensorimotor control, where classical poststimulus methods cannot be applied. Unlike the classical poststimulus methods, this method does not require a time origin, and it is not necessary to monitor the muscles or even to specify exactly which ones are involved. The method is also applicable to experiments involving a time origin (e.g., and applied perturbation), although in this case it is less accurate than the averaging technique. Individual postural strategies can be identified, which suggests some interesting potential applications of the method to clinical studies.
Authors:
B Amblard; C Assaiante; H Lekhel; A R Marchand
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of motor behavior     Volume:  26     ISSN:  0022-2895     ISO Abbreviation:  J Mot Behav     Publication Date:  1994 Jun 
Date Detail:
Created Date:  2005-03-08     Completed Date:  2005-05-09     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0236512     Medline TA:  J Mot Behav     Country:  United States    
Other Details:
Languages:  eng     Pagination:  103-12     Citation Subset:  -    
Affiliation:
Laboratoire de Neurobiologie et Mouvements du Centre National de la Recherche Scientifique, 31 Chemin Joseph Aiguier, B.P. 71, 13402 Marseille Cedex 9, France.
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