MODELING COMPLEXITY OF PHYSIOLOGICAL TIME SERIES IN-SILICO

Jesse Berwald, Tomáš Gedeon, Konstantin Mischaikow

2010

Abstract

A free-running physiological system produces time series with complexity which has been correlated to the robustness and health of the system. The essential tool to study the link between the structure of the system and the complexity of the series it produces is a mathematical model that is capable of reproducing the statistical signatures of a physiological time series. We construct a model based on the neural structure of the hippocampus that reproduces detrended fluctuations and multiscale entropy complexity signatures of physiological time series. We study the dependence of these signatures on the length of the series and on the initial data.

Paper Citation

in Harvard Style

Berwald J., Gedeon T. and Mischaikow K. (2010). MODELING COMPLEXITY OF PHYSIOLOGICAL TIME SERIES IN-SILICO . In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010) ISBN 978-989-674-018-4, pages 61-67. DOI: 10.5220/0002710300610067

in Bibtex Style

@conference{biosignals10,
author={Jesse Berwald and Tomáš Gedeon and Konstantin Mischaikow},
title={MODELING COMPLEXITY OF PHYSIOLOGICAL TIME SERIES IN-SILICO},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)},
year={2010},
pages={61-67},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002710300610067},
isbn={978-989-674-018-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)
TI - MODELING COMPLEXITY OF PHYSIOLOGICAL TIME SERIES IN-SILICO
SN - 978-989-674-018-4
AU - Berwald J.
AU - Gedeon T.
AU - Mischaikow K.
PY - 2010
SP - 61
EP - 67
DO - 10.5220/0002710300610067