Multi-Feature Fusion Method Based on EEG Signal and its Application in Stroke Classification.

Electroencephalogram (EEG) analysis has been widely used in the diagnosis of stroke diseases for its low cost and noninvasive characteristics. In order to classify the EEG signals of stroke patients with cerebral infarction and cerebral hemorrhage, this paper proposes a novel EEG stroke signal class...

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Detalles Bibliográficos
Publicado en:Journal of Medical Systems Vol. 44; no. 2; pp. 1 - 12
Autores principales: Li, Fenglian, Fan, Yuzhou, Zhang, Xueying, Wang, Can, Hu, Fengyun, Jia, Wenhui, Hui, Haisheng
Formato: equations & formulas research tables/charts Journal Article
Publicado: Springer Nature Feb2020
Acceso en línea:Ver este registro en EBSCOhost