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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Biomedical signal processing and control Jg. 75; S. 103555
Hauptverfasser:	Peng, Peizhen, Xie, Liping, Zhang, Kanjian, Zhang, Jinxia, Yang, Lu, Wei, Haikun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.05.2022
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!