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OBJECTIVE Automatic detection of epileptic EEG spikes via an artificial neural network has been reported to be feasible using raw EEG data as input. This study re-investigated its suitability by further exploring the effects of data preparation on classification performance testing. METHODS Six hundred EEG files (300 spikes and 300 non-spikes) taken from(More)
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