Data fusion of body-worn accelerometers and heart rate to predict VO2max during submaximal running

Author:

De Brabandere ArneORCID,Op De Beéck Tim,Schütte Kurt H.,Meert Wannes,Vanwanseele Benedicte,Davis Jesse

Funder

KU Leuven

Fonds Wetenschappelijk Onderzoek

EU VA project Nano4Sports

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference34 articles.

1. Modeling: optimal marathon performance on the basis of physiological factors;MJ Joyner;Journal of Applied Physiology,1991

2. Integration of the physiological factors determining endurance performance ability;EF Coyle;Exercise and Sport Sciences Reviews,1995

3. ACSM’s resource manual for Guidelines for exercise testing and prescription,2014

4. Developing new VO2max prediction models from maximal, submaximal and questionnaire variables using support vector machines combined with feature selection;F Abut;Computers in Biology and Medicine,2016

5. Non-exercise VO2max estimation for physically active college students;JD George;Medicine and Science in Sports and Exercise,1997

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