Autoencoding of long-term scalp electroencephalogram to detect epileptic seizure for diagnosis support system.
Journal:
Computers in biology and medicine
PMID:
31202153
Abstract
INTRODUCTION: Epileptologists could benefit from a diagnosis support system that automatically detects seizures because visual inspection of long-term electroencephalograms (EEGs) is extremely time-consuming. However, the diversity of seizures among patients makes it difficult to develop universal features that are applicable for automatic seizure detection in all cases, and the rarity of seizures results in a lack of sufficient training data for classifiers.