Motor Imagery EEG Classification Based on Transfer Learning and Multi-Scale Convolution Network

Motor Imagery EEG Classification Based on Transfer Learning and Multi-Scale Convolution Network

For the successful application of brain-computer interface (BCI) systems, accurate recognition of electroencephalography (EEG) signals is one of the core issues. To solve the differences in individual EEG signals and the problem of less EEG data in classification and recognition, an attention mechan...

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Bibliographic Details
Main Authors: Zhanyuan Chang, Congcong Zhang, Chuanjiang Li
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Micromachines
Subjects:
brain-computer interface
motor imagery
transfer learning
data alignment
Online Access:https://www.mdpi.com/2072-666X/13/6/927

Internet

https://www.mdpi.com/2072-666X/13/6/927

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