Motor imagery electroencephalogram classification algorithm based on joint features in the spatial and frequency domains and instance transfer

IntroductionMotor imagery electroencephalography (MI-EEG) has significant application value in the field of rehabilitation, and is a research hotspot in the brain-computer interface (BCI) field. Due to the small training sample size of MI-EEG of a single subject and the large individual differences...

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Bibliographic Details

Published in:	Frontiers in Human Neuroscience
Main Authors:	Ximiao Wang, Xisheng Dai, Yu Liu, Xiangmeng Chen, Qinghui Hu, Rongliang Hu, Mingxin Li
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-05-01
Subjects:	brain-computer interface (BCI) motor imagery (MI) joint feature instance transfer ensemble learning kernel mean matching (KMM)
Online Access:	https://www.frontiersin.org/articles/10.3389/fnhum.2023.1175399/full