SCDAN: Learning Common Feature Representation of Brain Activation for Intersubject Motor Imagery EEG Decoding

An electroencephalogram (EEG)-based motor imagery (MI) brain–computer interface (BCI) builds a direct communication channel between humans and computers by decoding EEG signals. The intersubject decoding ability is crucial for the application of MI-BCI, which implies that the subject can use MI-BCI...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement 2023, Vol.72, p.1-15
Hauptverfasser:	Fu, Boxun, Li, Fu, Ji, Youshuo, Li, Yang, Xie, Xuemei, Shi, Guangming
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Datasets Deep learning Discriminators Electroencephalography Feature extraction Human-computer interface Imagery Machine learning Representations Training
Online-Zugang:	Volltext
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