Dataset Refinement for Improving the Generalization Ability of the EEG Decoding Model

Electroencephalography (EEG) is a generally used neuroimaging approach in brain-computer interfaces due to its non-invasive characteristics and convenience, making it an effective tool for understanding human intentions. Therefore, recent research has focused on decoding human intentions from EEG si...

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Bibliographic Details

Published in:	The ... International Winter Conference on Brain-Computer Interface pp. 1 - 4
Main Authors:	Kim, Sung-Jin, Lee, Dae-Hyeok, Han, Hyeon-Taek
Format:	Conference Proceeding
Language:	English
Published:	IEEE 24.02.2025
Subjects:	Brain modeling Brain-computer interfaces dataset refinement Decoding Deep learning electroencephalogram Electroencephalography motor imagery Motors Neuroimaging Noise Noise measurement Training
ISSN:	2572-7672
Online Access:	Get full text
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