ScrutiniseIT: A Search-Based Approach to EEG Seizure Detection
Published in The Fifth International Conference on eHealth, Telemedicine, and Social Medicine, 2013
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.
Recommended citation: Ruairi O'Reilly, D Power, PD Healy, JP Morrison and GB Boylan (2013). “ScrutiniseIT: A Search-Based Approach to EEG Seizure Detection.” The Fifth International Conference on eHealth, Telemedicine, and Social Medicine.
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