Author Correction: High-sensitivity acceleration sensor detecting micro-mechanomyogram and deep learning approach for parkinson's disease classification.
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| Title: | Author Correction: High-sensitivity acceleration sensor detecting micro-mechanomyogram and deep learning approach for parkinson's disease classification. |
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| Authors: | Quan J; Department of Computer Science, Tokyo Institute of Technology, Tokyo, 226-8502, Japan., Uchitomi H; Department of Computer Science, Tokyo Institute of Technology, Tokyo, 226-8502, Japan. uchitomi@c.titech.ac.jp., Shigeyama R; Department of Computer Science, Tokyo Institute of Technology, Tokyo, 226-8502, Japan., Gao C; Department of Computer Science, Tokyo Institute of Technology, Tokyo, 226-8502, Japan., Ogata T; Department of Computer Science, Tokyo Institute of Technology, Tokyo, 226-8502, Japan., Inaba A; Department of Neurology, Kanto Central Hospital, Tokyo, 158-8531, Japan., Orimo S; Department of Neurology, Kanto Central Hospital, Tokyo, 158-8531, Japan.; Kamiyoga Setagaya Street Clinic, Tokyo, 158-0098, Japan., Ito H; Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, 226-8501, Japan., Machida K; Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, 226-8501, Japan., Sone M; Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, 226-8501, Japan., Miyake Y; Department of Computer Science, Tokyo Institute of Technology, Tokyo, 226-8502, Japan. |
| Source: | Scientific reports [Sci Rep] 2025 Aug 21; Vol. 15 (1), pp. 30791. Date of Electronic Publication: 2025 Aug 21. |
| Publication Type: | Published Erratum |
| 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; In Process |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40841411 AccessLevel: 2 PubTypeId: unknown PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Author Correction: High-sensitivity acceleration sensor detecting micro-mechanomyogram and deep learning approach for parkinson's disease classification. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Quan+J%22">Quan J</searchLink>; Department of Computer Science, Tokyo Institute of Technology, Tokyo, 226-8502, Japan.<br /><searchLink fieldCode="AU" term="%22Uchitomi+H%22">Uchitomi H</searchLink>; Department of Computer Science, Tokyo Institute of Technology, Tokyo, 226-8502, Japan. uchitomi@c.titech.ac.jp.<br /><searchLink fieldCode="AU" term="%22Shigeyama+R%22">Shigeyama R</searchLink>; Department of Computer Science, Tokyo Institute of Technology, Tokyo, 226-8502, Japan.<br /><searchLink fieldCode="AU" term="%22Gao+C%22">Gao C</searchLink>; Department of Computer Science, Tokyo Institute of Technology, Tokyo, 226-8502, Japan.<br /><searchLink fieldCode="AU" term="%22Ogata+T%22">Ogata T</searchLink>; Department of Computer Science, Tokyo Institute of Technology, Tokyo, 226-8502, Japan.<br /><searchLink fieldCode="AU" term="%22Inaba+A%22">Inaba A</searchLink>; Department of Neurology, Kanto Central Hospital, Tokyo, 158-8531, Japan.<br /><searchLink fieldCode="AU" term="%22Orimo+S%22">Orimo S</searchLink>; Department of Neurology, Kanto Central Hospital, Tokyo, 158-8531, Japan.; Kamiyoga Setagaya Street Clinic, Tokyo, 158-0098, Japan.<br /><searchLink fieldCode="AU" term="%22Ito+H%22">Ito H</searchLink>; Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, 226-8501, Japan.<br /><searchLink fieldCode="AU" term="%22Machida+K%22">Machida K</searchLink>; Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, 226-8501, Japan.<br /><searchLink fieldCode="AU" term="%22Sone+M%22">Sone M</searchLink>; Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, 226-8501, Japan.<br /><searchLink fieldCode="AU" term="%22Miyake+Y%22">Miyake Y</searchLink>; Department of Computer Science, Tokyo Institute of Technology, Tokyo, 226-8502, Japan. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2025 Aug 21; Vol. 15 (1), pp. 30791. <i>Date of Electronic Publication: </i>2025 Aug 21. – Name: TypePub Label: Publication Type Group: TypPub Data: Published Erratum – 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; In Process |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40841411 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-025-15060-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 30791 Titles: – TitleFull: Author Correction: High-sensitivity acceleration sensor detecting micro-mechanomyogram and deep learning approach for parkinson's disease classification. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Quan J – PersonEntity: Name: NameFull: Uchitomi H – PersonEntity: Name: NameFull: Shigeyama R – PersonEntity: Name: NameFull: Gao C – PersonEntity: Name: NameFull: Ogata T – PersonEntity: Name: NameFull: Inaba A – PersonEntity: Name: NameFull: Orimo S – PersonEntity: Name: NameFull: Ito H – PersonEntity: Name: NameFull: Machida K – PersonEntity: Name: NameFull: Sone M – PersonEntity: Name: NameFull: Miyake Y IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 08 Text: 2025 Aug 21 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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