Res Vestib Sci.
2024 Sep;23(3):63-70. 10.21790/rvs.2024.009.
Smartphones versus goggles for video-oculography: current status and future direction
- Bastani PB
1,2 - Badihian S2,3
- Phillips V1,4
- Rieiro H1,2
- Otero-Millan J5
- Farrell N1,2
- Parker M6
- Newman-Toker D1,2,7
- Tehrani AS1
- Affiliations
-
- 1Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- 2Armstrong Institute Center for Diagnostic Excellence, Baltimore, MD, USA
- 3Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
- 4Division of Biomedical Informatics & Data Science, Department of Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- 5Herbert Wertheim School of Optometry and Vision Science, University of California, Berkeley, Berkeley, CA, USA
- 6Department of Neurology, NYU Langone Health, New York, NY, USA
- 7Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- KMID: 2563698
- DOI: http://doi.org/10.21790/rvs.2024.009
Abstract
- Assessment of eye movements is the cornerstone of diagnosing vestibular disorders and differentiating central from peripheral causes of dizziness. Nonetheless, accurate assessment of eye movements is challenging, especially in the emergency department and primary care settings. To overcome this challenge, clinicians objectively measure eye movements using devices like video-oculography (VOG) goggles, which provide a video recording of the eye and quantified eye position traces. However, despite the value of VOG goggles in studying eye movements, barriers such as high prices and the need for dedicated operators have limited their use to subspecialty clinics. Recent advancements in the hardware and software of smartphones have positioned them as potential alternatives to VOG goggles that can reliably record and quantify eye movements. Although currently not as accurate as VOG goggles, smartphones can provide a cheap, widely available tool that can be used in various medical settings and even at home by patients. We review the current state and future directions of the devices that can be used for recording and quantifying eye movements.
