End-to-end EEG artifact removal method via nested generative…

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  • DOI 10.1088/2057-1976/ae1a8c
  • PMID https://pubmed.ncbi.nlm.nih.gov/41183389
  • OpenAlex ID W4415828080
  • Type Article
  • Language EN
  • Published 03 Nov 2025
  • Volume 11 (6)
  • Pages 065054
  • Source Biomedical Physics & Engineering Express
  • Publisher IOP Publishing
  • FWCI 0.57
  • Countries 1
  • Institutions 2
  • Added 03 Nov 2025
  • Updated 14 Oct 2026
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End-to-end EEG artifact removal method via nested generative adversarial network

Article 2025 EN

As physiological artifacts commonly overlap with EEG signals in both time and frequency domains, developing an effective end-to-end EEG artifact removal method is essential for a brain-computer interface (BCI) system. An end-to-end artifact removal method based on nested generative adversarial network (GAN) is proposed, to recover the EEG signals from artifact-contaminated ones. The nested GAN con…

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1 Tianqi Yang Corresponding Soochow University (CN)
2 Nan Hu Corresponding Soochow University (CN)
3 Shengsheng Cai Corresponding Zhejiang University (CN)
4 Dongyang Xu Corresponding Soochow University (CN) Zhejiang University (CN)
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