Machine learning and statistical methods for the prediction of maximal oxygen uptake: recent advances
Author:
Publisher
Informa UK Limited
Subject
Biomedical Engineering,Medicine (miscellaneous)
Cited by 28 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Evaluating the Utility of a Cardiac Health Assessment Test in Predicting VO2max Obtained from CPET: A Pilot Study;2024 IEEE 12th International Conference on Serious Games and Applications for Health (SeGAH);2024-08-07
2. Machine learning predicts peak oxygen uptake and peak power output for customizing cardiopulmonary exercise testing using non-exercise features;European Journal of Applied Physiology;2024-07-03
3. Improving diet through a recommendation system using physical activity data and healthy diet indexes of female futsal players;Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology;2024-04-06
4. VO2max prediction based on submaximal cardiorespiratory relationships and body composition in male runners and cyclists: a population study;eLife;2023-05-10
5. Heart Rate Variability Based Estimation of Maximal Oxygen Uptake in Athletes Using Supervised Regression Models;Sensors;2023-03-20
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