Personalized at-home vertigo treatment
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Author
Yilmaz, G.
Banderet, G.
Soltani, R.
Lahera, J.
Leu, D.-I.
Pfeuti, J.-N.
Jorge, J.
DOI
Abstract
Dizziness is a leading cause of falls, and its clinical therapeutic maneuvers often fail when self-administered due to a lack of objective kinematic guidance. We present a wearable device, qLibre, integrating inertial measurement unit (IMU) and electrooculography (EOG) sensors with real-time artificial intelligence (AI) interpretation to enable accurate, self-administered therapy at home. Pilot testing achieved 100% sensitivity, confirming its reliable detection of correct maneuvers, and establishing its potential for effective personalized treatment.
Publication Reference
CSEM Scientific and Technical Report 2025, p. 21–22
Year
2025
Sponsors
This work was supported by PEMOL-Baumann-Stiftung