VO2max prediction from submaximal exercise test using artificial neural network

@article{Akay2013VO2maxPF,
  title={VO2max prediction from submaximal exercise test using artificial neural network},
  author={Mehmet Fatih Akay and Erman Akt{\"u}rk and Aynur Balikci},
  journal={2013 21st Signal Processing and Communications Applications Conference (SIU)},
  year={2013},
  pages={1-3}
}
The goal of this study is to develop an accurate artificial neural network (ANN)-based model to predict maximal oxygen uptake (VO2max) of fit adults from a single stage submaximal treadmill jogging test. Participants (81 males and 45 females), aged from 17 to 40 years, successfully completed a maximal graded exercise test (GXT) to determine VO2max. The… CONTINUE READING