Smartphone-Based Videonystagmography Using Artificial Intelligence
Published in Current Directions in Biomedical Engineering, 2023
Dizziness is a common symptom in medicine. The anamnesis and detection of a nystagmus is essential to distinguish a vertigo’s pathogenesis. The diagnosis is complex, expensive, and not always available across the board. We present a novel location- and time-independent mobile application for videonystagmography (VNG) to support vertigo patients and medical staff. No additional hardware is necessary. The app uses artificial intelligence for eye tracking and to detect a horizontal nystagmus. A feasibility study of the mobile VNG with 13 healthy volunteers was performed. Each participant underwent a caloric vestibular testing to provoke the presence of a vestibular nystagmus. It could be shown that a smartphone-based VNG is possible.
Sophia Reinhardt, Joshua Schmidt, Jonas Schneider, Elena Schulte, Christiane Schüle, Michael Leuschel and Jörg Schipper. (2022). "Smartphone-Based Videonystagmography Using Artificial Intelligence" Current Directions in Biomedical Engineering. https://www.degruyter.com/document/doi/10.1515/cdbme-2023-1132/html