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Modified distribution entropy as a complexity measure of heart rate variability (HRV) signal
journal contribution
posted on 2020-10-01, 00:00 authored by Radhagayathri Krishnavilas Udhayakumar, Chandan KarmakarChandan Karmakar, P Li, X Wang, M PalaniswamiThe 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.
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EntropyVolume
22Issue
10Publisher DOI
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1099-4300Publication classification
C1 Refereed article in a scholarly journalCopyright notice
2020, The AuthorsUsage metrics
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