Automatic ML-based vestibular gait classification: examining the effects of IMU placement and gait task selection
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1743-0003
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Automatic ML-based vestibular gait classification: examining the effects of IMU placement and gait task selection ; volume:19 ; number:1 ; day:1 ; month:12 ; year:2022 ; pages:1-14 ; date:12.2022
Journal of neuroEngineering and rehabilitation ; 19, Heft 1 (1.12.2022), 1-14, 12.2022
- Urheber
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Jabri, Safa
Carender, Wendy
Wiens, Jenna
Sienko, Kathleen H.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12984-022-01099-z
- URN
-
urn:nbn:de:101:1-2023021021445164071315
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:48 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Jabri, Safa
- Carender, Wendy
- Wiens, Jenna
- Sienko, Kathleen H.
- SpringerLink (Online service)
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