Hearing Instrument Fall Detection

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dc.contributor.authorMoufawad El Achkar, Christopher
dc.contributor.authorIgnasiak, Niklas
dc.contributor.authorLindemann, Ulrich
dc.contributor.authorVan Zaen, Jérôme
dc.contributor.authorSoltani, Ramin Abolfazl
dc.contributor.authorVerjus, Christophe
dc.contributor.authorRoeck, Hans-Ueli
dc.contributor.authorBecker, Clemens
dc.contributor.authorLemkaddem, Alia
dc.date.accessioned2025-11-11T15:37:44Z
dc.date.available2025-11-11T15:37:44Z
dc.date.issued2023
dc.description.abstractRemote, automatic fall detection based on wearables is an important challenge in digital health. While wrist wearables have witnessed incredible adoption in the last decade, the wrist is not an ideal location for fall detection. Hearing instruments, on the other hand, may offer better fall detection accuracy and are worn by persons who are at high risk of falling. This article describes the validation of using sensors embedded in hearing instruments to accurately detect falls in different activity contexts of older adult patients.
dc.identifier.citationCSEM Scientific and Technical Report 2023, p. 49
dc.identifier.urihttps://hdl.handle.net/20.500.12839/1810
dc.titleHearing Instrument Fall Detection
dc.typeCSEM Report
dc.type.csemdivisionsBU-D
dc.type.csemresearchareasDigital Health
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