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EEG electrode setup optimization using feature extraction techniques for neonatal sleep state classification.

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Title: EEG electrode setup optimization using feature extraction techniques for neonatal sleep state classification.
Authors: Siddiqa HA; Center for Intelligent Medical Electronics, Department of Electronic Engineering, School of Information Science and Technology, Fudan University, Shanghai, China., Qureshi MF; Department of Electrical Engineering, Namal University Mianwali, Mianwali, Pakistan., Khurshid A; Department of Electrical Engineering, Engineering Institute of Technology, Melbourne, VIC, Australia., Xu Y; Department of Neurology, Children's Hospital of Fudan University, National Children's Medical-Center, Shanghai, China., Wang L; Department of Neonatology, Children's Hospital of Fudan University, Shanghai, China., Abbasi SF; Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham, United Kingdom., Chen C; Human Phenome Institute, Fudan University, Shanghai, China., Chen W; School of Biomedical Engineering, The University of Sydney, Sydney, NSW, Australia.
Source: Frontiers in computational neuroscience [Front Comput Neurosci] 2025 Jan 31; Vol. 19, pp. 1506869. Date of Electronic Publication: 2025 Jan 31 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101477956 Publication Model: eCollection Cited Medium: Print ISSN: 1662-5188 (Print) Linking ISSN: 16625188 NLM ISO Abbreviation: Front Comput Neurosci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Siddiqa+HA%22">Siddiqa HA</searchLink>; Center for Intelligent Medical Electronics, Department of Electronic Engineering, School of Information Science and Technology, Fudan University, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Qureshi+MF%22">Qureshi MF</searchLink>; Department of Electrical Engineering, Namal University Mianwali, Mianwali, Pakistan.<br /><searchLink fieldCode="AU" term="%22Khurshid+A%22">Khurshid A</searchLink>; Department of Electrical Engineering, Engineering Institute of Technology, Melbourne, VIC, Australia.<br /><searchLink fieldCode="AU" term="%22Xu+Y%22">Xu Y</searchLink>; Department of Neurology, Children's Hospital of Fudan University, National Children's Medical-Center, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Wang+L%22">Wang L</searchLink>; Department of Neonatology, Children's Hospital of Fudan University, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Abbasi+SF%22">Abbasi SF</searchLink>; Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Birmingham, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Chen+C%22">Chen C</searchLink>; Human Phenome Institute, Fudan University, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Chen+W%22">Chen W</searchLink>; School of Biomedical Engineering, The University of Sydney, Sydney, NSW, Australia.
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  Data: <searchLink fieldCode="JN" term="%22101477956%22">Frontiers in computational neuroscience</searchLink> [Front Comput Neurosci] 2025 Jan 31; Vol. 19, pp. 1506869. <i>Date of Electronic Publication: </i>2025 Jan 31 (<i>Print Publication: </i>2025).
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        Value: 10.3389/fncom.2025.1506869
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