Applying a Mathematical Model to the Performance of a Female Monofin Swimmer

Abstract

This study sought to determine the best method to quantify\rtraining based on heart rate data. It proposes a modification of Banister’s\roriginal performance model to improve the accuracy of predicted performance.\rThe new formulation introduces a variable that accounts for changes in the\rsubject’s initial performance as a result of the quantity of training. The two\rsystems models were applied to a well-trained female monofin swimmer over a\r24-week training period. Each model comprised a set of parameters unique to the\rindividual and was estimated by fitting model-predicted performance to measured\rperformance. We used the Alienor method associated to Optimization-Preserving\rOperators to identify these parameters. The quantification method based on\rtraining intensity zones gave a better estimation of predicted performance\rin both models. Using the new model in sports in which performance is generally\rpredicted (running, swimming) will help us to define its\rreal interest.