Self-Recording of Eye Movements in Amyotrophic Lateral Sclerosis Patients Using a Smartphone Eye-Tracking App

Pouya Barahim Bastani, Ali S. Saber Tehrani, Shervin Badihian, Hector Rieiro, David Rastall, Nathan Farrell, Max Parker, Jorge Otero-Millan, Ahmed Hassoon, David Newman-Toker, Lora L. Clawson, Alpa Uchil, Kristen Riley, Steven R. Zeiler

Research output: Contribution to journalArticlepeer-review

Abstract

Introduction: Amyotrophic lateral sclerosis (ALS) can affect various eye movements, making eye tracking a potential means for disease monitoring. In this study, we evaluated the feasibility of ALS patients self-recording their eye movements using the “EyePhone,” a smartphone eye-tracking application. Methods: We prospectively enrolled ten participants and provided them with an iPhone equipped with the EyePhone app and a PowerPoint presentation with step-by-step recording instructions. The goal was for the participants to record their eye movements (saccades and smooth pursuit) without the help of the study team. Afterward, a trained physician administered the same tests using video-oculography (VOG) goggles and asked the participants to complete a questionnaire regarding their self-recording experience. Results: All participants successfully completed the self-recording process without assistance from the study team. Questionnaire data indicated that participants viewed self-recording with EyePhone favorably, considering it easy and comfortable. Moreover, 70% indicated that they prefer self-recording to being recorded by VOG goggles. Conclusion: With proper instruction, ALS patients can effectively use the EyePhone to record their eye movements, potentially even in a home environment. These results demonstrate the potential for smartphone eye-tracking technology as a viable and self-administered tool for monitoring disease progression in ALS, reducing the need for frequent clinic visits.

Original languageEnglish (US)
Pages (from-to)111-119
Number of pages9
JournalDigital Biomarkers
Volume8
Issue number1
DOIs
StatePublished - Jun 18 2024

Keywords

  • Amyotrophic lateral sclerosis
  • Eye movements
  • Health technology
  • Smartphone eye-tracking application

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Computer Science Applications
  • Health Informatics

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