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SNOAR: a new regression approach for the removal of ocular artifact from multi-channel electroencephalogram signals.

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Bibliographic Details
Title: SNOAR: a new regression approach for the removal of ocular artifact from multi-channel electroencephalogram signals.
Authors: Juyal, Ruchi1, Muthusamy, Hariharan1, hariharanm@nituk.ac.in, Kumar, Niraj2
Source: Medical & Biological Engineering & Computing; Dec2022, Vol. 60 Issue 12, p3567-3583, 17p, 3 Diagrams, 3 Charts, 9 Graphs
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Medical+%26+Biological+Engineering+%26+Computing%22">Medical & Biological Engineering & Computing</searchLink>; Dec2022, Vol. 60 Issue 12, p3567-3583, 17p, 3 Diagrams, 3 Charts, 9 Graphs
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11517-022-02692-z
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 3567
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      – TitleFull: SNOAR: a new regression approach for the removal of ocular artifact from multi-channel electroencephalogram signals.
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            NameFull: Juyal, Ruchi
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            NameFull: Muthusamy, Hariharan
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            NameFull: Kumar, Niraj
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            – D: 01
              M: 12
              Text: Dec2022
              Type: published
              Y: 2022
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              Value: 60
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              Value: 12
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