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Authors: Jesse Berwald 1 ; Tomáš Gedeon 1 and Konstantin Mischaikow 2

Affiliations: 1 Montana State University, United States ; 2 Rutgers University, United States

Keyword(s): Physiological time series, Complexity, Neural networks.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing ; Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics

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.

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Paper citation in several formats:
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 (BIOSTEC 2010) - BIOSIGNALS; ISBN 978-989-674-018-4; ISSN 2184-4305, SciTePress, pages 61-67. DOI: 10.5220/0002710300610067

@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 (BIOSTEC 2010) - BIOSIGNALS},
year={2010},
pages={61-67},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002710300610067},
isbn={978-989-674-018-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2010) - BIOSIGNALS
TI - MODELING COMPLEXITY OF PHYSIOLOGICAL TIME SERIES IN-SILICO
SN - 978-989-674-018-4
IS - 2184-4305
AU - Berwald, J.
AU - Gedeon, T.
AU - Mischaikow, K.
PY - 2010
SP - 61
EP - 67
DO - 10.5220/0002710300610067
PB - SciTePress

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