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The specificity of training model: ...

Taha, Tim.

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The specificity of training model: A mathematical systems model relating training and performance incorporating structural elements.

Record Type:	Electronic resources : Monograph/item
Title/Author:	The specificity of training model: A mathematical systems model relating training and performance incorporating structural elements./
Author:	Taha, Tim.
Description:	142 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-05, Section: B, page: 2174.
Contained By:	Dissertation Abstracts International65-05B.
Subject:	Biology, Animal Physiology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NQ91739
ISBN:	0612917398

The specificity of training model: A mathematical systems model relating training and performance incorporating structural elements.
Taha, Tim.

The specificity of training model: A mathematical systems model relating training and performance incorporating structural elements. - 142 p.

Source: Dissertation Abstracts International, Volume: 65-05, Section: B, page: 2174.

Thesis (Ph.D.)--University of Toronto (Canada), 2004.

Previous mathematical models have been developed to describe the relationship between training and performance. Analysis of these models indicates that they are limited to describing and predicting performances that are highly similar to those used for estimation of parameters. Using a method that calculates the respective influence of the aerobic or anaerobic energy system, the specificity of training model (STM) incorporates the structural elements of energy system contributions to exercise. The increased flexibility allows prediction of performances that are different in energy system contribution than those used to estimate parameters. In laboratory cycle ergometer testing, results indicated that the STM was able to predict changes in performance in maximal cycling from training inputs that were both longer and shorter in duration than those used in parameter estimation. A trend indicated that the time course for aerobic training was longer than that of the anaerobic system. In subsequent field testing using rowing winter training, future shorter duration test times were predicted using training inputs with a mean error of 1.6%. The results indicate that the STM is able to predict alternate duration performances and increase the knowledge about periodization of training schedules to achieve optimal athletic performance.

ISBN: 0612917398Subjects--Topical Terms:

1017835
Biology, Animal Physiology.

The specificity of training model: A mathematical systems model relating training and performance incorporating structural elements.
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245 1 4 $a The specificity of training model: A mathematical systems model relating training and performance incorporating structural elements.
300 $a 142 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-05, Section: B, page: 2174.
500 $a Adviser: Scott G. Thomas.
502 $a Thesis (Ph.D.)--University of Toronto (Canada), 2004.
520 $a Previous mathematical models have been developed to describe the relationship between training and performance. Analysis of these models indicates that they are limited to describing and predicting performances that are highly similar to those used for estimation of parameters. Using a method that calculates the respective influence of the aerobic or anaerobic energy system, the specificity of training model (STM) incorporates the structural elements of energy system contributions to exercise. The increased flexibility allows prediction of performances that are different in energy system contribution than those used to estimate parameters. In laboratory cycle ergometer testing, results indicated that the STM was able to predict changes in performance in maximal cycling from training inputs that were both longer and shorter in duration than those used in parameter estimation. A trend indicated that the time course for aerobic training was longer than that of the anaerobic system. In subsequent field testing using rowing winter training, future shorter duration test times were predicted using training inputs with a mean error of 1.6%. The results indicate that the STM is able to predict alternate duration performances and increase the knowledge about periodization of training schedules to achieve optimal athletic performance.
590 $a School code: 0779.
650 4 $a Biology, Animal Physiology. $3 1017835
650 4 $a Health Sciences, Recreation. $3 1018003
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773 0 $t Dissertation Abstracts International $g 65-05B.
790 1 0 $a Thomas, Scott G., $e advisor
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791 $a Ph.D.
792 $a 2004
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NQ91739