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Open AccessArticle

Multiscale Distribution Entropy Analysis of Short-Term Heart Rate Variability

Department of Electronics and Communications Engineering, Kwangwoon University, Seoul 01897, Korea
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Entropy 2018, 20(12), 952; https://doi.org/10.3390/e20120952
Received: 12 November 2018 / Revised: 8 December 2018 / Accepted: 9 December 2018 / Published: 11 December 2018
(This article belongs to the Special Issue Multiscale Entropy Approaches and Their Applications)
Electrocardiogram (ECG) signal has been commonly used to analyze the complexity of heart rate variability (HRV). For this, various entropy methods have been considerably of interest. The multiscale entropy (MSE) method, which makes use of the sample entropy (SampEn) calculation of coarse-grained time series, has attracted attention for analysis of HRV. However, the SampEn computation may fail to be defined when the length of a time series is not enough long. Recently, distribution entropy (DistEn) with improved stability for a short-term time series has been proposed. Here, we propose a novel multiscale DistEn (MDE) for analysis of the complexity of short-term HRV by utilizing a moving-averaging multiscale process and the DistEn computation of each moving-averaged time series. Thus, it provides an improved stability of entropy evaluation for short-term HRV extracted from ECG. To verify the performance of MDE, we employ the analysis of synthetic signals and confirm the superiority of MDE over MSE. Then, we evaluate the complexity of short-term HRV extracted from ECG signals of congestive heart failure (CHF) patients and healthy subjects. The experimental results exhibit that MDE is capable of quantifying the decreased complexity of HRV with aging and CHF disease with short-term HRV time series. View Full-Text
Keywords: electrocardiogram; heart rate variability; multiscale distribution entropy; RR interval; short-term inter-beat interval electrocardiogram; heart rate variability; multiscale distribution entropy; RR interval; short-term inter-beat interval
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Lee, D.-Y.; Choi, Y.-S. Multiscale Distribution Entropy Analysis of Short-Term Heart Rate Variability. Entropy 2018, 20, 952.

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