Natural entropy fluctuations discriminate similar looking electric signals emitted from systems of different dynamics
P. A. Varotsos, N. V. Sarlis, E. S. Skordas, M. S. Lazaridou
Abstract
Complexity measures are introduced, that quantify the change of the natural entropy fluctuations at different length scales in time-series emitted from systems operating far from equilibrium. They identify impending sudden cardiac death (SD) by analyzing fifteen minutes electrocardiograms, and comparing to those of truly healthy humans (H). These measures seem to be complementary to the ones suggested recently [Phys. Rev. E 70, 011106 (2004)] and altogether enable the classification of individuals into three categories: H, heart disease patients and SD. All the SD individuals, who exhibit critical dynamics, result in a common behavior.
Create a lesson
Related papers
Transient Supercriticality in Hawkes Processes: Detection, Identifiability, and Apparent Criticality
D. Sornette
Near-exact Upper Confidence Limits for Axion Haloscopes
Andrea Gallo Rosso, Jan Conrad
Track finding and particle identification performance with particle physics foundation models
Shuhang Li, Haiwang Yu, Gabor Galgoczi et al.
Accelerating fits in high-energy physics and beyond
Amr Elmarassy, Sebastian Schmitt, Eluned Smith
Sorted Mutability as an Entropic Functional: Theory and Two Applications
Michel Aguilera, Eugenio E. Vogel, Francisco J. Peña et al.
Data geometry preserves prediction but reshapes explanation
Nicola Amoroso, Mario Caruso, Marianna La Rocca et al.