An Auxiliary Synthesis Framework for Enhancing EEG-Based Classification With Limited Data

An Auxiliary Synthesis Framework for Enhancing EEG-Based Classification With Limited Data

While deep learning algorithms significantly improves the decoding performance of brain-computer interface (BCI) based on electroencephalogram (EEG) signals, the performance relies on a large number of high-resolution data for training. However, collecting sufficient usable EEG data is difficult due...

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Bibliographic Details
Main Authors: Sui Liang, Shaolong Kuang, Deheng Wang, Zhaohua Yuan, Hongmiao Zhang, Lining Sun
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Brain computer interface
electroencephalogram
motor imagery
deep learning
data augmentation
Online Access:https://ieeexplore.ieee.org/document/10106002/

Internet

https://ieeexplore.ieee.org/document/10106002/

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