A hybrid framework for muscle artifact removal in EEG: combining variational mode decomposition, stationary wavelet transform, and canonical correlation analysis.

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Title: A hybrid framework for muscle artifact removal in EEG: combining variational mode decomposition, stationary wavelet transform, and canonical correlation analysis.
Authors: Akshath Raj, Vandana1 (AUTHOR), Nayak, Subramanya G.1 (AUTHOR) gs.nayak@manipal.edu, Thalengala, Ananthakrishna1 (AUTHOR)
Source: Cogent Engineering. Dec2025, Vol. 12 Issue 1, p1-19. 19p.
Database: Academic Search Ultimate
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  Data: A hybrid framework for muscle artifact removal in EEG: combining variational mode decomposition, stationary wavelet transform, and canonical correlation analysis.
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  Data: <searchLink fieldCode="JN" term="%22Cogent+Engineering%22">Cogent Engineering</searchLink>. Dec2025, Vol. 12 Issue 1, p1-19. 19p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=190227877
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/23311916.2025.2514941
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      – Code: eng
        Text: English
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      – TitleFull: A hybrid framework for muscle artifact removal in EEG: combining variational mode decomposition, stationary wavelet transform, and canonical correlation analysis.
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            NameFull: Nayak, Subramanya G.
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              Text: Dec2025
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              Y: 2025
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