A novel EEG artifact removal algorithm based on an advanced attention mechanism

A novel EEG artifact removal algorithm based on an advanced attention mechanism

Abstract EEG is widely applied in emotion recognition, brain disease detection, and other fields due to its high temporal resolution and non-invasiveness. However, artifact removal remains a crucial issue in EEG signal processing. Recently, with the rapid development of deep learning, there has been...

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Bibliographic Details
Main Authors: Rui Jiang, Shen Tong, Jiawei Wu, Haowei Hu, Ran Zhang, Heng Wang, Yan Zhao, Weixin Zhu, Shuyan Li, Xiao Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
Electroencephalogram (EEG)
Artifact removal
Deep learning
Attention mechanism
Online Access:https://doi.org/10.1038/s41598-025-98653-1
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https://doi.org/10.1038/s41598-025-98653-1

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