Entropy in the natural time-domain
| dc.creator | Varotsos, P. A. | |
| dc.creator | Sarlis, N. V. | |
| dc.creator | Skordas, E. S. | |
| dc.creator | Lazaridou, M. S. | |
| dc.date | 2005-01-21 | |
| dc.date.accessioned | 2026-07-07T05:54:01Z | |
| dc.date.available | 2026-07-07T05:54:01Z | |
| dc.description | A surrogate data analysis is presented, which is based on the fluctuations of the ``entropy'' $S$ defined in the natural time-domain [Phys. Rev. E {\bf 68}, 031106, 2003]. This entropy is not a static one as, for example, the Shannon entropy. The analysis is applied to three types of time-series, i.e., seismic electric signals, ``artificial'' noises and electrocardiograms, and ``recognizes'' the non-Markovianity in all these signals. Furthermore, it differentiates the electrocardiograms of healthy humans from those of the sudden cardiac death ones. If $δS$ and $δS_{shuf}$ denote the standard deviation when calculating the entropy by means of a time-window sweeping through the original data and the ``shuffled'' (randomized) data, respectively, it seems that the ratio $δS_{shuf}/δS$ plays a key-role. The physical meaning of $δS_{shuf}$ is investigated. | |
| dc.description | Published in Physical Review E | |
| dc.identifier | https://arxiv.org/abs/physics/0501117 | |
| dc.identifier | http://arxiv.org/abs/physics/0501117 | |
| dc.identifier | Phys. Rev. E 70, 011106 (2004) | |
| dc.identifier | doi:10.1103/PhysRevE.70.011106 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/86830 | |
| dc.subject | Data Analysis, Statistics and Probability | |
| dc.subject | Biological Physics | |
| dc.title | Entropy in the natural time-domain | |
| dc.type | text |