Journal article

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

Radhagayathri Udhayakumar, Chandan Karmakar, Peng Li, Xinpei Wang, Marimuthu Palaniswami

Entropy: international and interdisciplinary journal of entropy and information studies | MDPI AG | Published : 2020


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 com..

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Awarded by National Natural Science Foundation of China

Awarded by Australian Research Council (ARC) Discovery Project

Funding Acknowledgements

This work was supported by the National Natural Science Foundation of China (number 61601263) and the Australian Research Council (ARC) Discovery Project under grant DP190101248.