A hybrid framework for muscle artifact removal in EEG: combining variational mode decomposition, stationary wavelet transform, and canonical correlation analysis
Electroencephalography (EEG) analysis is critical for diagnosing various neurological disorders and for other brain-related control applications. However, the presence of artifacts, including muscle artifacts, significantly alter signal power and lead to misinterpretation of neural information. Henc...
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| Glavni autori: | , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Taylor & Francis Group
2025-12-01
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| Serija: | Cogent Engineering |
| Teme: | |
| Online pristup: | https://www.tandfonline.com/doi/10.1080/23311916.2025.2514941 |
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