Modified Distribution Entropy as a Complexity Measure of Heart Rate Variability (HRV) Signal
AuthorUdhayakumar, R; Karmakar, C; Li, P; Wang, X; Palaniswami, M
Source TitleEntropy: international and interdisciplinary journal of entropy and information studies
University of Melbourne Author/sPalaniswami, Marimuthu
AffiliationElectrical and Electronic Engineering
Document TypeJournal Article
CitationsUdhayakumar, R., Karmakar, C., Li, P., Wang, X. & Palaniswami, M. (2020). Modified Distribution Entropy as a Complexity Measure of Heart Rate Variability (HRV) Signal. Entropy, 22 (10), https://doi.org/10.3390/e22101077.
Access StatusOpen Access
ARC Grant codeARC/DP190101248
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.
- Click on "Export Reference in RIS Format" and choose "open with... Endnote".
- Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References