Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams-A feasibility study.
Saved in:
| Title: | Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams-A feasibility study. |
|---|---|
| Authors: | Unger T; Data Analytics and Rehabilitation Technology (DART), Lake Lucerne Institute, Vitznau, Switzerland., Kühnis B; ZHAW School of Management and Law, Institute of Business Information Technology, Winterthur, Switzerland., Sauerzopf L; ZHAW School of Health Sciences, Institute of Occupational Therapy, Winterthur, Switzerland.; Faculty of Medicine, University of Zurich, Zurich, Switzerland., Spiess MR; ZHAW School of Health Sciences, Institute of Occupational Therapy, Winterthur, Switzerland.; Faculty of Medicine, University of Zurich, Zurich, Switzerland., de Spindler A; ZHAW School of Management and Law, Institute of Business Information Technology, Winterthur, Switzerland., Luft AR; Division of Vascular Neurology and Neurorehabilitation, Department of Neurology and Clinical Neuroscience Center, University of Zurich and University Hospital Zurich, Zurich, Switzerland.; Cereneo, Center for Neurology and Rehabilitation, Vitznau, Switzerland.; Neurocore Lab, Lake Lucerne Institute, Vitznau, Switzerland., Easthope Awai C; Data Analytics and Rehabilitation Technology (DART), Lake Lucerne Institute, Vitznau, Switzerland., Schönhammer JG; Division of Vascular Neurology and Neurorehabilitation, Department of Neurology and Clinical Neuroscience Center, University of Zurich and University Hospital Zurich, Zurich, Switzerland.; Neurocore Lab, Lake Lucerne Institute, Vitznau, Switzerland., Gavagnin E; ZHAW School of Management and Law, Institute of Business Information Technology, Winterthur, Switzerland.; ZHAW School of Engineering, Centre for Artificial Intelligence, Winterthur, Switzerland. |
| Source: | Frontiers in medicine [Front Med (Lausanne)] 2025 Nov 14; Vol. 12, pp. 1645369. Date of Electronic Publication: 2025 Nov 14 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41322226 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams-A feasibility study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Unger+T%22">Unger T</searchLink>; Data Analytics and Rehabilitation Technology (DART), Lake Lucerne Institute, Vitznau, Switzerland.<br /><searchLink fieldCode="AU" term="%22Kühnis+B%22">Kühnis B</searchLink>; ZHAW School of Management and Law, Institute of Business Information Technology, Winterthur, Switzerland.<br /><searchLink fieldCode="AU" term="%22Sauerzopf+L%22">Sauerzopf L</searchLink>; ZHAW School of Health Sciences, Institute of Occupational Therapy, Winterthur, Switzerland.; Faculty of Medicine, University of Zurich, Zurich, Switzerland.<br /><searchLink fieldCode="AU" term="%22Spiess+MR%22">Spiess MR</searchLink>; ZHAW School of Health Sciences, Institute of Occupational Therapy, Winterthur, Switzerland.; Faculty of Medicine, University of Zurich, Zurich, Switzerland.<br /><searchLink fieldCode="AU" term="%22de+Spindler+A%22">de Spindler A</searchLink>; ZHAW School of Management and Law, Institute of Business Information Technology, Winterthur, Switzerland.<br /><searchLink fieldCode="AU" term="%22Luft+AR%22">Luft AR</searchLink>; Division of Vascular Neurology and Neurorehabilitation, Department of Neurology and Clinical Neuroscience Center, University of Zurich and University Hospital Zurich, Zurich, Switzerland.; Cereneo, Center for Neurology and Rehabilitation, Vitznau, Switzerland.; Neurocore Lab, Lake Lucerne Institute, Vitznau, Switzerland.<br /><searchLink fieldCode="AU" term="%22Easthope+Awai+C%22">Easthope Awai C</searchLink>; Data Analytics and Rehabilitation Technology (DART), Lake Lucerne Institute, Vitznau, Switzerland.<br /><searchLink fieldCode="AU" term="%22Schönhammer+JG%22">Schönhammer JG</searchLink>; Division of Vascular Neurology and Neurorehabilitation, Department of Neurology and Clinical Neuroscience Center, University of Zurich and University Hospital Zurich, Zurich, Switzerland.; Neurocore Lab, Lake Lucerne Institute, Vitznau, Switzerland.<br /><searchLink fieldCode="AU" term="%22Gavagnin+E%22">Gavagnin E</searchLink>; ZHAW School of Management and Law, Institute of Business Information Technology, Winterthur, Switzerland.; ZHAW School of Engineering, Centre for Artificial Intelligence, Winterthur, Switzerland. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101648047%22">Frontiers in medicine</searchLink> [Front Med (Lausanne)] 2025 Nov 14; Vol. 12, pp. 1645369. <i>Date of Electronic Publication: </i>2025 Nov 14 (<i>Print Publication: </i>2025). – 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="%22Frontiers+Media+S%2EA%22">Frontiers Media S.A </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101648047 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2296-858X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222296858X%22">2296858X </searchLink><i>NLM ISO Abbreviation: </i>Front Med (Lausanne) <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41322226 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fmed.2025.1645369 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1645369 Titles: – TitleFull: Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams-A feasibility study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Unger T – PersonEntity: Name: NameFull: Kühnis B – PersonEntity: Name: NameFull: Sauerzopf L – PersonEntity: Name: NameFull: Spiess MR – PersonEntity: Name: NameFull: de Spindler A – PersonEntity: Name: NameFull: Luft AR – PersonEntity: Name: NameFull: Easthope Awai C – PersonEntity: Name: NameFull: Schönhammer JG – PersonEntity: Name: NameFull: Gavagnin E IsPartOfRelationships: – BibEntity: Dates: – D: 14 M: 11 Text: 2025 Nov 14 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 2296-858X Numbering: – Type: volume Value: 12 Titles: – TitleFull: Frontiers in medicine Type: main |
| ResultId | 1 |