A Domain Adaptation-Based Method for Classification of Motor Imagery EEG

Non-stationarity of EEG signals lead to high variability across sessions, which results in low classification accuracy. To reduce the inter-session variability, an unsupervised domain adaptation method is proposed. Arithmetic mean and covariance are exploited to represent the data distribution. Firs...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Changsheng Li, Minyou Chen, Li Zhang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2022-05-01
Edice:	Mathematics
Témata:	electroencephalogram motor imagery mean and covariance domain adaptation linear discriminant analysis
On-line přístup:	https://www.mdpi.com/2227-7390/10/9/1588
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!