State Change Probability: A Measure of the Complexity of Cardiac RR Interval Time Series Using Physiological State Change with Statistical Hypothesis Testing
Abstract:The complexity of biological signals has been proposed to reflect the adaptability of a given biological system to different environments. Two measures of complexity-multiscale entropy (MSE) and entropy of entropy (EoE)-have been proposed, to evaluate the complexity of heart rate signals from different perspectives. The MSE evaluates the information content of a long time series across multiple temporal scales, while the EoE characterizes variation in amount of information, which is interpreted as the "state c… Show more
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