Smartphone-Based Videonystagmography Using Artificial Intelligence

Abstract: 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.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Smartphone-Based Videonystagmography Using Artificial Intelligence ; volume:9 ; number:1 ; year:2023 ; pages:528-531 ; extent:4 ; Current directions in biomedical engineering ; 9, Heft 1 (2023), 528-531 (gesamt 4)

Contributors, Places and Time

• Creator: Reinhardt, Sophia ; Schmidt, Joshua ; Schneider, Jonas ; Leuschel, Michael ; Schulte, Elena ; Schüle, Christiane ; Schipper, Jörg

Further information

• DOI: 10.1515/cdbme-2023-1132
• URN: urn:nbn:de:101:1-2023092214044081214160
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 10:53 AM CEST