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Complexity and Entropy in Physiological Signals (CEPS): Resonance Breathing Rate Assessed Using Measures of Fractal Dimension, Heart Rate Asymmetry and Permutation Entropy.

David MayorTony SteffertGeorge DatserisAndrea FirthDeepak PandayHarikala KandelDuncan Banks
Published in: Entropy (Basel, Switzerland) (2023)
The updated CEPS software enables visualisation and analysis of multichannel physiological data using a variety of established and recently introduced complexity entropy measures. Although equal resampling is theoretically important for FD estimation, it appears that FD measures may also be usefully applied to non-resampled data.
Keyphrases
  • heart rate
  • heart rate variability
  • electronic health record
  • blood pressure
  • big data
  • data analysis
  • energy transfer
  • machine learning