Augmenting brain-computer interfaces with ART: An artifact removal transformer for reconstructing multichannel EEG signals

Augmenting brain-computer interfaces with ART: An artifact removal transformer for reconstructing multichannel EEG signals

Artifact removal in electroencephalography (EEG) is a longstanding challenge that significantly impacts neuroscientific analysis and brain–computer interface (BCI) performance. Tackling this problem demands advanced algorithms, extensive noisy-clean training data, and thorough evaluation strategies....

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Bibliographic Details
Main Authors: Chun-Hsiang Chuang, Kong-Yi Chang, Chih-Sheng Huang, Anne-Mei Bessas
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:NeuroImage
Subjects:
Brain-computer interface
EEG
Transformer
Artifact removal
Signal reconstruction
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811925001259
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