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- W2784710950 abstract "Differential entropy, a nonlinear dynamics complexity measure, is proposed in our work. This chaos deterministic definition with flexible controlling parameter takes advantage of local nonlinear dynamical information among three adjacent elements to extract nonlinear complexity. In chaotic model complexity detecting tests, at the beginning chaotic stage and as chaotic behaviors increase of logistic map, DEn (differential entropy) with alpha from 0.33 to 0.38 has satisfied complexity extractions and shows advantages to PEn (permutation entropy) and JKSEn (J. Kurths symbolic entropy) which are also complexity measures based on local nonlinear dynamics. In real-world physiological heartbeats nonlinear complexity analysis, DEn values of three kinds of heart rates, the healthy young > the healthy elderly > CHF (congestive heart failure) patients, are significantly distinguished in statistics when alpha is 0.45 and 0.63. What's more, DEn does not have high requirement for data length and can effectively extract nonlinear complexity at short data length. DEn, therefore, is an efficient parameter characterizing nonlinear dynamic complexity." @default.
- W2784710950 created "2018-02-02" @default.
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- W2784710950 date "2018-01-24" @default.
- W2784710950 modified "2023-09-27" @default.
- W2784710950 title "Differential entropy in nonlinear dynamics complexity analysis" @default.
- W2784710950 hasPublicationYear "2018" @default.
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