Decoding EEG in Motor Imagery Tasks with Graph Semi-Supervised Broad Learning

In recent years, the accurate and real-time classification of electroencephalogram (EEG) signals has drawn increasing attention in the application of brain-computer interface technology (BCI). Supervised methods used to classify EEG signals have gotten satisfactory results. However, unlabeled sample...

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Bibliographic Details

Published in:	Electronics (Basel) Vol. 8; no. 11; p. 1273
Main Authors:	She, Qingshan, Zhou, Yukai, Gan, Haitao, Ma, Yuliang, Luo, Zhizeng
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.11.2019
Subjects:	Accuracy Algorithms Classification Datasets Deep learning Electroencephalography Human-computer interface Learning Neural networks Signal classification Support vector machines
ISSN:	2079-9292, 2079-9292
Online Access:	Get full text
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