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

被引：5

作者：

Udhayakumar, Radhagayathri ^{[1
]}

Karmakar, Chandan ^{[1
]}

Li, Peng ^{[2
]}

Wang, Xinpei ^{[3
]}

Palaniswami, Marimuthu ^{[4
]}

机构：

[1] Deakin Univ, Sch Informat Technol, 75 Pigdons Rd, Geelong, Vic 3216, Australia

[2] Harvard Med Sch, Brigham & Womens Hosp, Div Sleep & Circadian Disorders, Boston, MA 02115 USA

[3] Shandong Univ, Sch Control Sci & Engn, Jinan 250100, Peoples R China

[4] Univ Melbourne, Dept Elect & Elect Engn, Melbourne, Vic 3010, Australia

来源：

ENTROPY | 2020年 / 22卷 / 10期

基金：

中国国家自然科学基金; 澳大利亚研究理事会;

关键词：

distribution entropy; complexity analysis; heart rate variability; Shannon entropy; APPROXIMATE ENTROPY; NONLINEAR DYNAMICS; SERIES;

D O I：

10.3390/e22101077

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

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.

引用

页数：15

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