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Predicting the physiological limits of sport stress tests with functional data

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Functional Statistics and Related Fields

Part of the book series: Contributions to Statistics ((CONTRIB.STAT.))

Abstract

This work aims at illustrating the enormous potential of continuous monitoring of the athlete, jointly with the application of statistical techniques for functional data in the analysis and control of sports performance. It is shown that using low intensity exercise, one can predict the performance of a group of athletes without forcing them to fatigue. This is the first indirect methodology proposed in the scientific literature that allows to estimate in a precise way physical fitness without producing fatigue. The areas of application of this procedure are not only limited to sport science. They are diverse and include, among others, medicine and education.

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Author information

Authors and Affiliations

  1. Universidade de Vigo, Vigo, Spain

    Marcos Matabuena & Mario Francisco-Fernández

  2. Research group MODES, INIBIC, CITIC, Departamento de Matemáticas, Facultade de Informática, Universidade da Coruña, 15071, A Coruña, Spain

    Ricardo Cao

Authors
  1. Marcos Matabuena
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  2. Mario Francisco-Fernández
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  3. Ricardo Cao
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Corresponding author

Correspondence to Marcos Matabuena .

Editor information

Editors and Affiliations

  1. Dept. of Mathematics, University of A Coruña, A Coruña, Spain

    Germán Aneiros

  2. Dept. of Studies in Econ.and Business, University of Eastern Piedmont "Amedeo Avogadro", Novara, Italy

    Enea G. Bongiorno

  3. Dept. of Mathematics, University of A Coruña, A Coruña, Spain

    Ricardo Cao

  4. Toulouse Mathematics Institute (IMT), Paul Sabatier University, Toulouse, France

    Philippe Vieu

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Matabuena, M., Francisco-Fernández, M., Cao, R. (2017). Predicting the physiological limits of sport stress tests with functional data. In: Aneiros, G., G. Bongiorno, E., Cao, R., Vieu, P. (eds) Functional Statistics and Related Fields. Contributions to Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-55846-2_24

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