Convolutional networks can extract robust features from scalp EEG to characterize the preictal state for focal seizure prediction.
May support noninvasive seizure prediction tools; hypothesis-generating pending prospective clinical validation.
We demonstrate that a robust set of features can be learned from scalp EEG that characterize the preictal state of focal seizures.
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Khan et al. (2017) studied this question.
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