Comparison of entropy rate measures for the evaluation of time series complexity: Simulations and application to heart rate and respiratory variability
Most real-world systems are characterised by dynamics and correlations emerging at multiple time scales, and are therefore referred to as complex systems. In this work, the complexity of time series produced by complex systems was investigated in the frame of information theory computing the entropy rate via the conditional entropy (CE) measure.