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Automatic neonatal sleep stage classification: A comparative study.

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Title: Automatic neonatal sleep stage classification: A comparative study.
Authors: Abbasi SF; Department of Electronic, Electrical and System Engineering, University of Birmingham, Birmingham, United Kingdom., Abbas A; Department of Electronic, Electrical and System Engineering, University of Birmingham, Birmingham, United Kingdom., Ahmad I; James Watt School of Engineering, University of Glasgow, United Kingdom., Alshehri MS; Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia., Almakdi S; Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia., Ghadi YY; Department of Computer Science, Al Ain University, Abu Dhabi P.O. Box 112612, United Arab Emirates., Ahmad J; School of Computing, Engineering and the Built Environment, Edinburgh Napier University, Edinburgh EH10 5DT, UK.
Source: Heliyon [Heliyon] 2023 Nov 13; Vol. 9 (11), pp. e22195. Date of Electronic Publication: 2023 Nov 13 (Print Publication: 2023).
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101672560 Publication Model: eCollection Cited Medium: Print ISSN: 2405-8440 (Print) Linking ISSN: 24058440 NLM ISO Abbreviation: Heliyon Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Abbasi+SF%22">Abbasi SF</searchLink>; Department of Electronic, Electrical and System Engineering, University of Birmingham, Birmingham, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Abbas+A%22">Abbas A</searchLink>; Department of Electronic, Electrical and System Engineering, University of Birmingham, Birmingham, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Ahmad+I%22">Ahmad I</searchLink>; James Watt School of Engineering, University of Glasgow, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Alshehri+MS%22">Alshehri MS</searchLink>; Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Almakdi+S%22">Almakdi S</searchLink>; Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Ghadi+YY%22">Ghadi YY</searchLink>; Department of Computer Science, Al Ain University, Abu Dhabi P.O. Box 112612, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Ahmad+J%22">Ahmad J</searchLink>; School of Computing, Engineering and the Built Environment, Edinburgh Napier University, Edinburgh EH10 5DT, UK.
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  Data: <searchLink fieldCode="JN" term="%22101672560%22">Heliyon</searchLink> [Heliyon] 2023 Nov 13; Vol. 9 (11), pp. e22195. <i>Date of Electronic Publication: </i>2023 Nov 13 (<i>Print Publication: </i>2023).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Ltd%22">Elsevier Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101672560 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2405-8440 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2224058440%22">24058440 </searchLink><i>NLM ISO Abbreviation: </i>Heliyon <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1016/j.heliyon.2023.e22195
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              Text: 2023 Nov 13
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