Feature separation and adversarial training for the patient-independent detection of epileptic seizures

• Published in: Frontiers in computational neuroscience Vol. 17; p. 1195334
• Main Authors: Yang, Yong, Li, Feng, Qin, Xiaolin, Wen, Han, Lin, Xiaoguang, Huang, Dong
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 19.07.2023; Frontiers Media S.A
• Subjects: Accuracy; adversarial training; Convulsions & seizures; Datasets; EEG; Electroencephalography; Epilepsy; epileptic seizure detection; feature separation; Information processing; Methods; Nervous system; Neural networks; Neuroscience; Pathogenesis; patient-independent; Patients; Seizures; patient-independent; epileptic seizure detection; adversarial training; feature separation; EEG

An epileptic seizure is the external manifestation of abnormal neuronal discharges, which seriously affecting physical health. The pathogenesis of epilepsy is complex, and the types of epileptic seizures are diverse, resulting in significant variation in epileptic seizure data between subjects. If w...