Optimizing athletic performance by influence curves

Author:

Fitz-Clarke J. R.1,Morton R. H.1,Banister E. W.1

Affiliation:

1. School of Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada.

Abstract

Recent application of modeling techniques to physical training has opened the possibility for prediction from training. Solution of the inverse problem, determining a training program to produce a desired performance at a specific time, is also possible and may yield strategies for achieving better training and tapering (complete or relative rest for a period before competition) regimens for competitive athletes. A mathematical technique derived from model theory is described in this paper that allows the design of an optimal strategy of physical preparation for an individual to do well in a single future competitive event or cluster of events. Simulation results, using default parameters of a training model, suggest that presently accepted forms of taper for competition may remain too rigorous and short in duration to achieve the best result possible from the training undertaken.

Publisher

American Physiological Society

Subject

Physiology (medical),Physiology

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