INVESTIGATION OF ENTROPY AND COMPLEXITY MEASURES FOR DETECTION OF SEIZURES IN THE NEONATE

Ehsan Chah, Barry R. Greene, Geraldine B. Boylan, Richard B. Reilly

2008

Abstract

The performance of three Entropy/complexity measures in detecting EEG seizures in the neonate were investigated in this study. A dataset containing EEG recordings from 11 neonates, with documented electrographic seizures, was employed in this study. Based on patient independent tests Shannon Entropy was found to provide the best in discrimination between seizure and non-seizure EEG in the neonate. Lempel-Ziv complexity and Multi-scale Entropy were second and third respectively, while Sample Entropy did not prove a useful feature for discriminating seizure patterns from non-seizure patterns.

Paper Citation

in Harvard Style

Chah E., R. Greene B., B. Boylan G. and B. Reilly R. (2008). INVESTIGATION OF ENTROPY AND COMPLEXITY MEASURES FOR DETECTION OF SEIZURES IN THE NEONATE . In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 17-22. DOI: 10.5220/0001063900170022

in Bibtex Style

@conference{biosignals08,
author={Ehsan Chah and Barry R. Greene and Geraldine B. Boylan and Richard B. Reilly},
title={INVESTIGATION OF ENTROPY AND COMPLEXITY MEASURES FOR DETECTION OF SEIZURES IN THE NEONATE},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={17-22},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001063900170022},
isbn={978-989-8111-18-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)
TI - INVESTIGATION OF ENTROPY AND COMPLEXITY MEASURES FOR DETECTION OF SEIZURES IN THE NEONATE
SN - 978-989-8111-18-0
AU - Chah E.
AU - R. Greene B.
AU - B. Boylan G.
AU - B. Reilly R.
PY - 2008
SP - 17
EP - 22
DO - 10.5220/0001063900170022