<div class="csl-bib-body">
<div class="csl-entry">Rezk, E., Luschin-Ebengreuth, M., & Kaufmann, H. (2026). Smartphone-based vestibular & gait analysis for remote fall risk assessment. <i>Frontiers in Digital Health</i>, <i>8</i>, 1–9. https://doi.org/10.3389/fdgth.2026.1798559</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/230352
-
dc.language.iso
en
-
dc.publisher
Frontiers Media S.A.
-
dc.relation.ispartof
Frontiers in Digital Health
-
dc.subject
gait analysis
en
dc.subject
computational modeling
en
dc.subject
digital biomarkers
en
dc.subject
smartphone-based sensing
en
dc.subject
inertial measurement unit (IMU)
en
dc.subject
multimodal signal processing
en
dc.title
Smartphone-based vestibular & gait analysis for remote fall risk assessment
en
dc.type
Article
en
dc.type
Artikel
de
dc.contributor.affiliation
Medical University of Graz, Austria
-
dc.contributor.affiliation
Medical University of Graz, Austria
-
dc.description.startpage
1
-
dc.description.endpage
9
-
dc.type.category
Original Research Article
-
tuw.container.volume
8
-
tuw.journal.peerreviewed
true
-
tuw.researchTopic.id
I5
-
tuw.researchTopic.name
Visual Computing and Human-Centered Technology
-
tuw.researchTopic.value
100
-
dcterms.isPartOf.title
Frontiers in Digital Health
-
tuw.publication.orgunit
E193-03 - Forschungsbereich Virtual and Augmented Reality