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Predicting oxygen uptake responses during cycling at varied intensities using an artificial neural network Cover

Predicting oxygen uptake responses during cycling at varied intensities using an artificial neural network

Biomedical Human Kinetics
Volume 11 (2019): Issue 1 (January 2019)
By: ,  ,  ,  ,  ,   and    
Open Access
|Mar 2019
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DOI: https://doi.org/10.2478/bhk-2019-0008 | Journal eISSN: 2080-2234 | Journal ISSN: 2080-2234
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Language: English
Page range: 60 - 68
Submitted on: Sep 16, 2018
Accepted on: Mar 18, 2019
Published on: Mar 26, 2019
Published by: University of Physical Education in Warsaw
In partnership with: Paradigm Publishing Services
Keywords:
VO2,
Cardiorespiratory fitness,
Heart rate,
Machine learning,
Prediction model
Related subjects:
Medicine,
Basic medical science,
Basic medical science, other,
Sports and recreation,
Physical education,
Sports and recreation, other

© 2019 Andrew Borror, Michael Mazzoleni, James Coppock, Brian C. Jensen, William A. Wood, Brian Mann, Claudio L. Battaglini, published by University of Physical Education in Warsaw
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 11 (2019): Issue 1 (January 2019)
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