ERP-WGAN: A data augmentation method for EEG single-trial de…
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- DOI 10.1016/j.jneumeth.2022.109621
- PMID https://pubmed.ncbi.nlm.nih.gov/35513171
- OpenAlex ID W4229009467
- Type Article
- Language EN
- Published 02 May 2022
- Volume 376
- Pages 109621
- Source Journal of Neuroscience Methods
- Publisher Elsevier BV
- FWCI 3.09
- Countries 1
- Institutions 2
- Added 08 May 2022
- Updated 16 Oct 2026
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ERP-WGAN: A data augmentation method for EEG single-trial detection
Article 2022 EN Hybrid
Brain computer interaction based on EEG presents great potential and becomes the research hotspots. However, the insufficient scale of EEG database limits the BCI system performance, especially the positive and negative sample imbalance caused by oddball paradigm. To alleviate the bottleneck problem of scarce EEG sample, we propose a data augmentation method based on generative adversarial network…
28
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21
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8
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3.09
FWCI
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8 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Rongkai Zhang | PLA Information Engineering Un… (CN) | |
| 2 | Ying Zeng | University of Electronic Scien… (CN) PLA Information Engineering Un… (CN) | |
| 3 | Li Tong | PLA Information Engineering Un… (CN) | |
| 4 | Jun Shu | PLA Information Engineering Un… (CN) | |
| 5 | Runnan Lu | PLA Information Engineering Un… (CN) | — |
| 6 | Kai Yang | PLA Information Engineering Un… (CN) | — |
| 7 | Zhongrui Li | PLA Information Engineering Un… (CN) | |
| 8 | Bin Yan Corresponding | PLA Information Engineering Un… (CN) |
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