Fully automated clinical movement analysis from videos using skeleton-based deep learning.
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| Title: | Fully automated clinical movement analysis from videos using skeleton-based deep learning. |
|---|---|
| Authors: | Groos, D.1, Adde, L.2,3, Aubert, S.4, Haukeland, A.4, Ramampiaro, H.4, Støen, R.2,5, Ihlen, E.A.F.1 |
| Source: | Gait & Posture. 2021Supplement 1, Vol. 90, p72-73. 2p. |
| Database: | Academic Search Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 152793767 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=152793767 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.gaitpost.2021.09.037 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 2 StartPage: 72 Titles: – TitleFull: Fully automated clinical movement analysis from videos using skeleton-based deep learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Groos, D. – PersonEntity: Name: NameFull: Adde, L. – PersonEntity: Name: NameFull: Aubert, S. – PersonEntity: Name: NameFull: Haukeland, A. – PersonEntity: Name: NameFull: Ramampiaro, H. – PersonEntity: Name: NameFull: Støen, R. – PersonEntity: Name: NameFull: Ihlen, E.A.F. IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 10 Text: 2021Supplement 1 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 09666362 Numbering: – Type: volume Value: 90 Titles: – TitleFull: Gait & Posture Type: main |
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