Classifying social and physical pain from multimodal physiological signals using machine learning.
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| Title: | Classifying social and physical pain from multimodal physiological signals using machine learning. |
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| Authors: | Jang EH; Mobility User Experience Research Section, Electronics Telecommunication and Research Institute, Daejeon, Republic of Korea., Eum YJ; Department of Psychology, Chungnam National University, Daejeon, Republic of Korea., Yoon D; Mobility User Experience Research Section, Electronics Telecommunication and Research Institute, Daejeon, Republic of Korea., Byun S; Department of Electronics Engineering, Incheon National University, Incheon, Republic of Korea. swbyun@inu.ac.kr. |
| Source: | Scientific reports [Sci Rep] 2025 Jul 29; Vol. 15 (1), pp. 27674. Date of Electronic Publication: 2025 Jul 29. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40731063 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Classifying social and physical pain from multimodal physiological signals using machine learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Jang+EH%22">Jang EH</searchLink>; Mobility User Experience Research Section, Electronics Telecommunication and Research Institute, Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Eum+YJ%22">Eum YJ</searchLink>; Department of Psychology, Chungnam National University, Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Yoon+D%22">Yoon D</searchLink>; Mobility User Experience Research Section, Electronics Telecommunication and Research Institute, Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Byun+S%22">Byun S</searchLink>; Department of Electronics Engineering, Incheon National University, Incheon, Republic of Korea. swbyun@inu.ac.kr. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2025 Jul 29; Vol. 15 (1), pp. 27674. <i>Date of Electronic Publication: </i>2025 Jul 29. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40731063 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-025-12476-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 27674 Titles: – TitleFull: Classifying social and physical pain from multimodal physiological signals using machine learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jang EH – PersonEntity: Name: NameFull: Eum YJ – PersonEntity: Name: NameFull: Yoon D – PersonEntity: Name: NameFull: Byun S IsPartOfRelationships: – BibEntity: Dates: – D: 29 M: 07 Text: 2025 Jul 29 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2045-2322 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: Scientific reports Type: main |
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