Conference Publication Details
Mandatory Fields
Temko A.;Lightbody G.;Boylan G.;Marnane W.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Online EEG channel weighting for detection of seizures in the neonate
Optional Fields
A framework for online dynamic channel weighting is developed for the task of EEG-based neonatal seizure detection. The channel weights are computed on-the-fly by combining the up-to-now patient-specific history and the clinically-derived prior channel importance. These estimated time-varying weights are introduced within a Bayesian probabilistic framework to provide a channel-specific and thus patient-adaptive seizure classification scheme. Validation results on one of the largest clinical datasets of neonatal seizures confirm the utility of the proposed channel weighting for the SVM-based detector recently developed by this research group. Exploiting the channel weighting, the precision-recall area can be drastically increased (up to 25%) for the most difficult patients, with the average increase from 81.0% to 84.42%. It is also shown that the increase in performance with channel weighting is proportional to the time the patient is observed. 2011 IEEE.
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