Detecting Neonatal Seizures using Sample Covariance Estimation

Aleksandar Jeremic, Dejan Nikolic

2019

Abstract

One of the most frequent of neurological dysfunctions in prematurely born infants is the presence of frequent seizures. As they may be related to serious neurological problems they require immediate detection which is most commonly done using electroencephalography (EEG) systems that enable trained physicians to detect them in the real time. Due to the length of neonatal period (first 28 days) it would be extremely beneficial to have an automated system that is able to detect seizures as it would enable more efficient use of expert time. In this paper we propose a new multichannel technique for detecting seizure in neonates that calculates distance measure using second order statistical properties and Frechet mean. We have demonstrated previously that Frechet mean in certain cases can outperform clustering/detection algorithms that are based on first order distances.

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Paper Citation


in Harvard Style

Jeremic A. and Nikolic D. (2019). Detecting Neonatal Seizures using Sample Covariance Estimation. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 4: BIOSIGNALS; ISBN 978-989-758-353-7, SciTePress, pages 246-250. DOI: 10.5220/0007580302460250


in Bibtex Style

@conference{biosignals19,
author={Aleksandar Jeremic and Dejan Nikolic},
title={Detecting Neonatal Seizures using Sample Covariance Estimation},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 4: BIOSIGNALS},
year={2019},
pages={246-250},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007580302460250},
isbn={978-989-758-353-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 4: BIOSIGNALS
TI - Detecting Neonatal Seizures using Sample Covariance Estimation
SN - 978-989-758-353-7
AU - Jeremic A.
AU - Nikolic D.
PY - 2019
SP - 246
EP - 250
DO - 10.5220/0007580302460250
PB - SciTePress