Deep Architectures for Automated Seizure Detection in Scalp EEGs

28 Dec 2017Meysam GolmohammadiSaeedeh ZiyabariVinit ShahSilvia Lopez de DiegoIyad ObeidJoseph Picone

Automated seizure detection using clinical electroencephalograms is a challenging machine learning problem because the multichannel signal often has an extremely low signal to noise ratio. Events of interest such as seizures are easily confused with signal artifacts (e.g, eye movements) or benign variants (e.g., slowing)... (read more)

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