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Re-purposing EEG Artifacts: Eye Blink Artifact Features as Predictors of Drowsiness Using Deep Learning.

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Title: Re-purposing EEG Artifacts: Eye Blink Artifact Features as Predictors of Drowsiness Using Deep Learning.
Authors: Egambaram, Ashvaany1,2, ashvaany.egambaram@utp.edu.my, Badruddin, Nasreen1,2, Yahya, Norashikin1,2
Source: Applied Artificial Intelligence; Dec2025, Vol. 39 Issue 1, p1-20, 20p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 189934117
AccessLevel: 2
PubType: Academic Journal
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  Data: Re-purposing EEG Artifacts: Eye Blink Artifact Features as Predictors of Drowsiness Using Deep Learning.
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  Data: <searchLink fieldCode="JN" term="%22Applied+Artificial+Intelligence%22">Applied Artificial Intelligence</searchLink>; Dec2025, Vol. 39 Issue 1, p1-20, 20p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189934117
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/08839514.2025.2587985
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      – Code: eng
        Text: English
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        PageCount: 20
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      – TitleFull: Re-purposing EEG Artifacts: Eye Blink Artifact Features as Predictors of Drowsiness Using Deep Learning.
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            NameFull: Egambaram, Ashvaany
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            NameFull: Badruddin, Nasreen
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            – D: 01
              M: 12
              Text: Dec2025
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              Y: 2025
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