An Unsupervised Deep-Transfer-Learning-Based Motor Imagery EEG Classification Scheme for Brain–Computer Interface

An Unsupervised Deep-Transfer-Learning-Based Motor Imagery EEG Classification Scheme for Brain–Computer Interface

Brain–computer interface (BCI) research has attracted worldwide attention and has been rapidly developed. As one well-known non-invasive BCI technique, electroencephalography (EEG) records the brain’s electrical signals from the scalp surface area. However, due to the non-stationary nature of the EE...

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Chi tiết về thư mục
Những tác giả chính:	Xuying Wang, Rui Yang, Mengjie Huang
Định dạng:	Bài viết
Ngôn ngữ:	English
Được phát hành:	MDPI AG 2022-03-01
Loạt:	Sensors
Những chủ đề:	brain–computer interface motor imagery electroencephalography transfer learning common spatial pattern
Truy cập trực tuyến:	https://www.mdpi.com/1424-8220/22/6/2241

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