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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Vydané v:	Biomedical signal processing and control Ročník 75; s. 103555
Hlavní autori:	Peng, Peizhen, Xie, Liping, Zhang, Kanjian, Zhang, Jinxia, Yang, Lu, Wei, Haikun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.05.2022
Predmet:	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
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