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Predicting cardiorespiratory parameters based on endurance testing
Larsen Cundrič, Zoran Bosnić, Dejana Popović
Diplomsko delo
Oznake: machine learning;maximal heart rate;feature selection;maximal oxygen uptake;cardiorespiratory fitness;computer and information science;diploma;
Maximal heart rate (HRmax) and Maximal oxygen consumption (VO2max) are measures of adequate effort during an exercise test. Current equations for HRmax and VO2max prediction are not sufficiently accurate. Our aim was to improve those predictions using machine learning (ML). We used a sample of the F ...
Leto: 2021 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Št. zadetkov: 1
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