ENTROPIC ANALYSIS AND SYNTHESIS OF BIOSIGNAL COMPLEXITY

Tuan D. Pham

2010

Abstract

Analysis of complexity of biological time-series data is investigated to gain knowledge about the biosignal predictability. Using modern biological data such as mass spectral, this complexity information can be utilized to identify novel biomarkers for drug discovery, early disease detection and therapeutic treatment. To enhance the complexity analysis, a probabilistic fusion scheme, which is an alternative to the assumption of the independence of probabilistic models, is applied to synthesize the information given by different entropy methods.

Paper Citation

in Harvard Style

D. Pham T. (2010). ENTROPIC ANALYSIS AND SYNTHESIS OF BIOSIGNAL COMPLEXITY . 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 115-120. DOI: 10.5220/0002326501150120

in Bibtex Style

@conference{biosignals10,
author={Tuan D. Pham},
title={ENTROPIC ANALYSIS AND SYNTHESIS OF BIOSIGNAL COMPLEXITY},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)},
year={2010},
pages={115-120},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002326501150120},
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 - ENTROPIC ANALYSIS AND SYNTHESIS OF BIOSIGNAL COMPLEXITY
SN - 978-989-674-018-4
AU - D. Pham T.
PY - 2010
SP - 115
EP - 120
DO - 10.5220/0002326501150120