A Review on Signal Processing Approaches to Reduce Calibration Time in EEG-Based Brain–Computer Interface

A Review on Signal Processing Approaches to Reduce Calibration Time in EEG-Based Brain–Computer Interface

In an electroencephalogram- (EEG-) based brain–computer interface (BCI), a subject can directly communicate with an electronic device using his EEG signals in a safe and convenient way. However, the sensitivity to noise/artifact and the non-stationarity of EEG signals result in high inter-subject/se...

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Bibliographic Details
Main Authors: Xin Huang, Yilu Xu, Jing Hua, Wenlong Yi, Hua Yin, Ronghua Hu, Shiyi Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Neuroscience
Subjects:
signal processing
transfer learning
semi-supervised learning
EEG
brain–computer interface
calibration
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.733546/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2021.733546/full

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