Hearing Instrument Fall Detection
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Author
Moufawad El Achkar, Christopher
Ignasiak, Niklas
Lindemann, Ulrich
Van Zaen, Jérôme
Soltani, Ramin Abolfazl
Verjus, Christophe
Roeck, Hans-Ueli
Becker, Clemens
Lemkaddem, Alia
DOI
Abstract
Remote, 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.
Publication Reference
CSEM Scientific and Technical Report 2023, p. 49
Year
2023