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Related Experiment Video

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Using an Automated Hirschberg Test App to Evaluate Ocular Alignment
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Quantifying Induced Nystagmus Using a Smartphone Eye Tracking Application (EyePhone).

Pouya B Bastani1,2, Hector Rieiro1,2, Shervin Badihian2,3

  • 1Department of Neurology Johns Hopkins University School of Medicine Baltimore MD USA.

Journal of the American Heart Association
|January 16, 2024
PubMed
Summary
This summary is machine-generated.

A new smartphone app, EyePhone, accurately quantifies nystagmus, a key indicator for diagnosing vestibular strokes. This tool can improve emergency department diagnosis of dizziness and vestibular stroke.

Keywords:
HINTSeye movementshealth technologynystagmusvestibular strokes

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Area of Science:

  • Ophthalmology
  • Neurology
  • Medical Technology

Background:

  • Millions of annual emergency department visits for dizziness in the US.
  • Vestibular strokes account for a significant portion of these visits.
  • Current diagnostic methods for vestibular stroke rely on subtle eye movements, posing a challenge for emergency physicians.

Purpose of the Study:

  • To evaluate the accuracy of EyePhone, a smartphone eye-tracking application, in quantifying nystagmus.
  • To assess the potential of EyePhone as a tool for diagnosing vestibular strokes in emergency settings.

Main Methods:

  • Prospective enrollment of healthy volunteers.
  • Recording induced nystagmus using EyePhone and comparing with video oculography (VOG).
  • Analysis of slow phase velocities and receiver operating characteristic curves for nystagmus detection.

Main Results:

  • High correlation between EyePhone and VOG recordings for slow phase velocities (r=0.98 horizontal, r=0.94 vertical).
  • Calibration improved linear regression slopes for eye movement quantification.
  • EyePhone demonstrated an area under the curve of 0.87 for detecting horizontal and vertical nystagmus.

Conclusions:

  • EyePhone accurately detects and quantifies optokinetic nystagmus.
  • The smartphone application shows comparable performance to traditional VOG goggles.
  • EyePhone has the potential to overcome barriers in diagnosing vestibular strokes in emergency departments.