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Dataset Information

A Pilot Study of Smartphone Eye Tracking for Detection of Positional Nystagmus.


ABSTRACT:

Introduction

Detecting positional nystagmus is essential for diagnosing benign paroxysmal positional vertigo (BPPV). Therefore, developing methods to streamline this diagnosis can improve timely patient management and help prevent unnecessary emergency department visits. We aimed to evaluate the accuracy of a smartphone eye-tracking application in quantifying eye movements during positional testing to detect positional nystagmus.

Methods

We recruited patients with positional dizziness suspected of having BPPV from the vestibular rehabilitation clinic and the consult service for dizzy patients (Tele-Dizzy) at Johns Hopkins Hospital. Using an in-house smartphone app (EyePhone), we recorded eye movements during the Dix-Hallpike and supine roll tests. Two expert clinicians revie

SUBMITTER: Phillips V 

PROVIDER: S-EPMC12274059 | biostudies-literature | 2025 Jan-Dec

REPOSITORIES: biostudies-literature