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논문 기본 정보

자료유형
학술저널
저자정보
Pouya Barahim Bastani (Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA) Shervin Badihian (Armstrong Institute Center for Diagnostic Excellence, Baltimore, MD, USA) Vidith Phillips (Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA) Hector Rieiro (Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA) Jorge Otero-Millan (Herbert Wertheim School of Optometry and Vision Science, University of California, Berkeley, Berkeley, CA, USA) Nathan Farrell (Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA) Max Parker (Department of Neurology, NYU Langone Health, New York, NY, USA) David Newman-Toker (Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA) Ali Saber Tehrani (Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA)
저널정보
대한평형의학회 Research in Vestibular Science Research in Vestibular Science 제23권 제3호
발행연도
2024.9
수록면
63 - 70 (8page)
DOI
10.21790/rvs.2024.009

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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.

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