TITLE:
Applying a Mathematical Model to the Performance of a Female Monofin Swimmer
AUTHORS:
Elisée Gouba, Balira Ousmane Konfe, Ousseynou Nakoulima, Blaise Some, Olivier Hue
KEYWORDS:
Training Quantification; Banister’s Model
JOURNAL NAME:
Applied Mathematics,
Vol.4 No.12,
December
3,
2013
ABSTRACT: This study sought to determine the best method to quantify
training based on heart rate data. It proposes a modification of Banister’s
original performance model to improve the accuracy of predicted performance.
The new formulation introduces a variable that accounts for changes in the
subject’s initial performance as a result of the quantity of training. The two
systems models were applied to a well-trained female monofin swimmer over a
24-week training period. Each model comprised a set of parameters unique to the
individual and was estimated by fitting model-predicted performance to measured
performance. We used the Alienor method associated to Optimization-Preserving
Operators to identify these parameters. The quantification method based on
training intensity zones gave a better estimation of predicted performance
in both models. Using the new model in sports in which performance is generally
predicted (running, swimming) will help us to define its
real interest.