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Article

Modified Distribution Entropy as a Complexity Measure of Heart Rate Variability (HRV) Signal

1
School of Information Technology, Deakin University, 75 Pigdons Road, Waurn Ponds, Geelong, VIC 3216, Australia
2
Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
3
School of Control Science and Engineering, Shandong University, Jinan 250100, China
4
Department of Electrical & Electronic Engineering, The University of Melbourne, Melbourne, VIC 3010, Australia
*
Author to whom correspondence should be addressed.
Entropy 2020, 22(10), 1077; https://doi.org/10.3390/e22101077
Received: 17 August 2020 / Revised: 16 September 2020 / Accepted: 16 September 2020 / Published: 24 September 2020
(This article belongs to the Special Issue Entropy in Data Analysis)
The complexity of a heart rate variability (HRV) signal is considered an important nonlinear feature to detect cardiac abnormalities. This work aims at explaining the physiological meaning of a recently developed complexity measurement method, namely, distribution entropy (DistEn), in the context of HRV signal analysis. We thereby propose modified distribution entropy (mDistEn) to remove the physiological discrepancy involved in the computation of DistEn. The proposed method generates a distance matrix that is devoid of over-exerted multi-lag signal changes. Restricted element selection in the distance matrix makes “mDistEn” a computationally inexpensive and physiologically more relevant complexity measure in comparison to DistEn. View Full-Text
Keywords: distribution entropy; complexity analysis; heart rate variability; Shannon entropy distribution entropy; complexity analysis; heart rate variability; Shannon entropy
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MDPI and ACS Style

Udhayakumar, R.; Karmakar, C.; Li, P.; Wang, X.; Palaniswami, M. Modified Distribution Entropy as a Complexity Measure of Heart Rate Variability (HRV) Signal. Entropy 2020, 22, 1077. https://doi.org/10.3390/e22101077

AMA Style

Udhayakumar R, Karmakar C, Li P, Wang X, Palaniswami M. Modified Distribution Entropy as a Complexity Measure of Heart Rate Variability (HRV) Signal. Entropy. 2020; 22(10):1077. https://doi.org/10.3390/e22101077

Chicago/Turabian Style

Udhayakumar, Radhagayathri, Chandan Karmakar, Peng Li, Xinpei Wang, and Marimuthu Palaniswami. 2020. "Modified Distribution Entropy as a Complexity Measure of Heart Rate Variability (HRV) Signal" Entropy 22, no. 10: 1077. https://doi.org/10.3390/e22101077

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