Complexity and Entropy in Physiological Signals (CEPS): Resonance Breathing Rate Assessed Using Measures of Fractal Dimension, Heart Rate Asymmetry and Permutation Entropy.
Entropy (Basel, Switzerland)（2023）
Abstract
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.
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Key words
complexity,fractal dimension,heart rate asymmetry,heart rate variability (HRV),paced breathing,parameter tuning,permutation entropy,resonant breathing,software
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