Mining Physiological Conditions from Heart Rate Variability Analysis

@article{Lin2010MiningPC,
  title={Mining Physiological Conditions from Heart Rate Variability Analysis},
  author={Che-Wei Lin and Jeen-Shing Wang and Pau-Choo Chung},
  journal={IEEE Computational Intelligence Magazine},
  year={2010},
  volume={5},
  pages={50-58}
}
This article presents a successfully developed methodology for mining physiological conditions from heart rate variability (HRV) analysis. The application of HRV analysis in both research and clinical settings has seen rapid development in the past decades. Unlike previous research, this study employed features derived from longterm monitoring of HRV indices, as these trends can best reflect the autonomic nervous system dynamics influenced by various physiological conditions. We proposed two… CONTINUE READING

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