Improved Motor Imagery EEG Interdevice Decoding by Reweighting Multisource Domain Samples

Electroencephalogram (EEG)-based motor imagery brain-computer interface (MI BCI) has exciting prospects in applications. Multisource domain problem of MI EEG decoding needs to be solved urgently. That is, how to use existing vast amounts of MI EEG data (multisource domain) to train interdevice algor...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement 2024, Vol.73, p.1-12
Hauptverfasser:	Fu, Boxun, Li, Fu, Ji, Youshuo, Li, Yang, Xie, Xuemei, Li, Xiaoli, Shi, Guangming
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Brain-computer interface (BCI) Classification algorithms Datasets Decoding electroencephalogram (EEG) Electroencephalography Feature extraction Human-computer interface Imagery interdevice decoding motor imagery (MI) Performance evaluation Task analysis Training Transfer learning
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