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ScrutiniseIT: A Search-Based Approach to EEG Seizure Detection

Authors:
Ruairi D. O'Reilly
David Power
Philip D. Healy
John P. Morrison
Geraldine B. Boylan

Keywords: e-health, Seizure detection, Cloud computing, expert knowledge, search, signal processing, EEG

Abstract:
Seizures are both the most common neurological emergency afflicting neonates and the most difficult to detect clinically. Currently, the monitoring of a multi-channel electroencephalogram (EEG) is the gold standard for seizure detection. The accurate analysis of this physiological data requires a neurophysiologist with expertise in neonatal EEG. The provisioning of this expertise on a continuous basis can be challenging for medical facilities. In this paper, we describe a cloud-based platform capable of supporting clinicians through the creation of expert knowledge repositories. While the platform is considered general purpose, in this work it is applied specifically to neonatal EEG.

Pages: 310 to 313

Copyright: Copyright (c) IARIA, 2013

Publication date: February 24, 2013

Published in: conference

ISSN: 2308-4359

ISBN: 978-1-61208-252-3

Location: Nice, France

Dates: from February 24, 2013 to March 1, 2013