eAbstracts - A Decision Support Framework for the Discrimination of Children with Controlled Epilepsy Based on EEG Analysis

This study was conducted to "develop reliable techniques for the extraction of biomarkers from EEG that indicate the presence of minor neurophysiological signs in cases where no clinical or significant EEG abnormalities are observed."

Journal: Journal of NeuroEngineering and Rehabilitation(June 2, 2010)

Authors: Sakkalis V, Cassar T, Zervakis M, et al.

Purpose: To “develop reliable techniques for the extraction of biomarkers from EEG that indicate the presence of minor neurophysiological signs in cases where no clinical or significant EEG abnormalities are observed” by comparing “EEG recordings from controlled epileptic children with age-matched control children under two different operations, an eyes closed rest condition and a mathematical task.”

Results: The “study proposes concrete biomarkers that can be used in a decision support system for clinical validation. Fusion of selected biomarkers in the Theta and Alpha bands resulted in an increase of the classification score up to 80% during the rest condition. No significant discrimination was achieved during the performance of a mathematical subtraction task.”

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