Domain adaptation for epileptic EEG classification using adversarial learning and Riemannian manifold

•An efficient model for epileptic electroencephalogram (EEG) classification is proposed using adversarial learning and Riemannian manifolds.•A regularization term based on the Riemannian mean is developed to minimize domain gaps, which implements the domain adaptation among different patients.•The i...

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Bibliographic Details

Published in:	Biomedical signal processing and control Vol. 75; p. 103555
Main Authors:	Peng, Peizhen, Xie, Liping, Zhang, Kanjian, Zhang, Jinxia, Yang, Lu, Wei, Haikun
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.05.2022
Subjects:	Adversarial learning Domain adaptation EEG Riemannian manifold Seizure detection Seizure prediction Domain adaptation Seizure detection Adversarial learning Riemannian manifold Seizure prediction EEG
ISSN:	1746-8094, 1746-8108
Online Access:	Get full text
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