karmakar-entropyprofilinga-2020.pdf (4.38 MB)
Entropy profiling: A reduced—parametric measure of kolmogorov—sinai entropy from short-term hrv signal
journal contribution
posted on 2020-01-01, 00:00 authored by Chandan KarmakarChandan Karmakar, Radhagayathri Krishnavilas Udhayakumar, M PalaniswamiEntropy profiling is a recently introduced approach that reduces parametric dependence in traditional Kolmogorov-Sinai (KS) entropy measurement algorithms. The choice of the threshold parameter r of vector distances in traditional entropy computations is crucial in deciding the accuracy of signal irregularity information retrieved by these methods. In addition to making parametric choices completely data-driven, entropy profiling generates a complete profile of entropy information as against a single entropy estimate (seen in traditional algorithms). The benefits of using “profiling” instead of “estimation” are: (a) precursory methods such as approximate and sample entropy that have had the limitation of handling short-term signals (less than 1000 samples) are now made capable of the same; (b) the entropy measure can capture complexity information from short and long-term signals without multi-scaling; and (c) this new approach facilitates enhanced information retrieval from short-term HRV signals. The novel concept of entropy profiling has greatly equipped traditional algorithms to overcome existing limitations and broaden applicability in the field of short-term signal analysis. In this work, we present a review of KS-entropy methods and their limitations in the context of short-term heart rate variability analysis and elucidate the benefits of using entropy profiling as an alternative for the same.
History
Journal
EntropyVolume
22Issue
12Article number
1396Pagination
1 - 28Publisher
MDPILocation
Basel, SwitzerlandPublisher DOI
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ISSN
1099-4300eISSN
1099-4300Language
engPublication classification
C1 Refereed article in a scholarly journalUsage metrics
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Science & TechnologyPhysical SciencesPhysics, MultidisciplinaryPhysicsentropy profilingheart rate variabilityshort-term HRV time seriesirregularity analysiscomplexity analysistolerancenon-parametric K-S entropyHEART-RATE-VARIABILITYPHYSIOLOGICAL TIME-SERIESAPPROXIMATE ENTROPYSAMPLE ENTROPYMULTISCALE ENTROPYNONLINEAR DYNAMICSCOMPLEXITYHEALTHYIRREGULARITYAPEN
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