A Langevin model for complex cardiological time series
Neurons and Cognition
2016-03-02 v1 Statistical Mechanics
Abstract
There has been considerable efforts to understand the underlying complex dynamics in physiological time series. Methods originated from statistical physics revealed a non-Gaussian statistics and long range correlations in those signals. This suggests that the regulatory system operates out of equilibrium. Herein the complex fluctuations in blood pressure time series were successful described by physiological motivated Langevin equation under a sigmoid restoring force with multiplicative noise.
Keywords
Cite
@article{arxiv.1603.00397,
title = {A Langevin model for complex cardiological time series},
author = {C. E. C. Galhardo and B. C. Coutinho and T. J. P. Penna and M. A. de Menezes and P. P. S. Soares},
journal= {arXiv preprint arXiv:1603.00397},
year = {2016}
}