Document Detail


Using mathematical modeling in training planning.
MedLine Citation:
PMID:  19124896     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This report aims to discuss the strengths and weaknesses of the application of systems modeling to analyze the effects of training on performance. The simplifications inherent to the modeling approach are outlined to question the relevance of the models to predict athletes' responses to training. These simplifications include the selection of the variables assigned to the system's input and output, the specification of model structure, the collection of data to estimate the model parameters, and the use of identified models and parameters to predict responses. Despite the gain in insight to understand the effects of an intensification or reduction of training, the existing models would not be accurate enough to make predictions for a particular athlete in order to monitor his or her training.
Authors:
Thierry Busso; Luc Thomas
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Publication Detail:
Type:  Journal Article; Review    
Journal Detail:
Title:  International journal of sports physiology and performance     Volume:  1     ISSN:  1555-0265     ISO Abbreviation:  -     Publication Date:  2006 Dec 
Date Detail:
Created Date:  2009-01-06     Completed Date:  2009-11-13     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101276430     Medline TA:  Int J Sports Physiol Perform     Country:  United States    
Other Details:
Languages:  eng     Pagination:  400-5     Citation Subset:  IM    
Affiliation:
Research Unit for Physiology and Physiopathology of Exercise and Handicap, University of Saint-Etienne-PPEH, France.
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MeSH Terms
Descriptor/Qualifier:
Athletic Performance*
Computer Simulation*
Female
Humans
Male
Models, Biological*
Reproducibility of Results
Systems Theory*
Task Performance and Analysis*
Time Factors

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


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