Abstract:Background: Several scalp EEG epilepsy detection methods based on machine learning have achieved good detection accuracy. However, in clinical applications, different EEG acquisition equipment and experience of neurologists make the quality and style of EEG signals different, which makes previous epilepsy detection models cannot be widely used. The establishment of epilepsy detection model for a certain hospital usually depends on a large number of EEG samples, but there are usually few EEG samples from a cert… Show more
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