Automated wave labelling of the auditory brainstem response using machine learning.
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| Title: | Automated wave labelling of the auditory brainstem response using machine learning. |
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| Authors: | McKearney RM; Institute of Sound and Vibration Research, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK., Simpson DM; Institute of Sound and Vibration Research, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK., Bell SL; Institute of Sound and Vibration Research, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK. |
| Source: | International journal of audiology [Int J Audiol] 2025 Jul; Vol. 64 (7), pp. 766-771. Date of Electronic Publication: 2024 Oct 03. |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: Informa Healthcare Country of Publication: England NLM ID: 101140017 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1708-8186 (Electronic) Linking ISSN: 14992027 NLM ISO Abbreviation: Int J Audiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39363648 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Automated wave labelling of the auditory brainstem response using machine learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22McKearney+RM%22">McKearney RM</searchLink>; Institute of Sound and Vibration Research, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK.<br /><searchLink fieldCode="AU" term="%22Simpson+DM%22">Simpson DM</searchLink>; Institute of Sound and Vibration Research, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK.<br /><searchLink fieldCode="AU" term="%22Bell+SL%22">Bell SL</searchLink>; Institute of Sound and Vibration Research, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101140017%22">International journal of audiology</searchLink> [Int J Audiol] 2025 Jul; Vol. 64 (7), pp. 766-771. <i>Date of Electronic Publication: </i>2024 Oct 03. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Comparative Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Informa+Healthcare%22">Informa Healthcare </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101140017 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1708-8186 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214992027%22">14992027 </searchLink><i>NLM ISO Abbreviation: </i>Int J Audiol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39363648 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/14992027.2024.2404537 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 766 Titles: – TitleFull: Automated wave labelling of the auditory brainstem response using machine learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: McKearney RM – PersonEntity: Name: NameFull: Simpson DM – PersonEntity: Name: NameFull: Bell SL IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2025 Jul Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1708-8186 Numbering: – Type: volume Value: 64 – Type: issue Value: 7 Titles: – TitleFull: International journal of audiology Type: main |
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