Multiscale entropy profiling to estimate complexity of heart rate dynamics

Abstract

In the analysis of signal regularity from a physiological system such as the human heart, Approximate entropy (H A) and Sample entropy (H S) have been the most popular statistical tools used so far. While studying heart rate dynamics, it nevertheless becomes more important to extract information about complexities associated with the heart, rather than the regularity of signal patterns produced by it. A complex physiological system does not necessarily produce irregular signals and vice versa. In order to equip a regularity statistic to see through the respective system's level of complexity, the idea of multiscaling was introduced in H S estimation. Multiscaling ideally requires an input ..