Related Experiment Video
Updated: Jun 20, 2025

07:00
Eye-Tracking Control to Assess Cognitive Functions in Patients with Amyotrophic Lateral Sclerosis
Published on: October 13, 2016
8.1K
Self-Recording of Eye Movements in Amyotrophic Lateral Sclerosis Patients Using a Smartphone Eye-Tracking App
Pouya Barahim Bastani1,2, Ali S Saber Tehrani1, Shervin Badihian2,3
1Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Digital Biomarkers
|July 17, 2024
Summary
Amyotrophic lateral sclerosis (ALS) patients can successfully self-record eye movements using a smartphone app. This technology offers a convenient, patient-friendly method for monitoring ALS progression remotely.
Area of Science:
- Neurology
- Ophthalmology
- Biomedical Engineering
Background:
- Amyotrophic lateral sclerosis (ALS) impacts ocular motor function, suggesting eye tracking as a valuable monitoring tool.
- Current eye-tracking methods often require specialized equipment and clinical visits.
Purpose of the Study:
- To assess the feasibility of ALS patients self-recording eye movements using a smartphone application called EyePhone.
- To evaluate patient experience and preference for self-recording versus traditional methods.
Main Methods:
- Ten ALS participants were provided with an iPhone and the EyePhone app for self-recording eye movements (saccades, smooth pursuit).
- Participants received instructions and completed recordings independently.
- A physician later administered standardized tests using video-oculography (VOG) goggles, followed by a patient questionnaire.
Main Results:
- All participants successfully completed self-recordings without assistance.
- Patients reported the EyePhone self-recording process as easy and comfortable.
- 70% of participants preferred self-recording with EyePhone over VOG goggle recordings.
Conclusions:
- ALS patients can effectively utilize smartphone-based eye-tracking technology for self-monitoring.
- The EyePhone app presents a viable, self-administered tool for tracking ALS progression, potentially reducing clinic visit frequency.
- This approach may enable remote monitoring of neurological disease progression.

