Barahim Bastani Pouya, Saber Tehrani Ali S, Badihian Shervin, Rieiro Hector, Rastall David, Farrell Nathan, Parker Max, Otero-Millan Jorge, Hassoon Ahmed, Newman-Toker David, Clawson Lora L, Uchil Alpa, Riley Kristen, Zeiler Steven R
Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Armstrong Institute Center for Diagnostic Excellence, Baltimore, MD, USA.
Digit Biomark. 2024 Jun 18;8(1):111-119. doi: 10.1159/000538992. eCollection 2024 Jan-Dec.
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.
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.
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.
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.
肌萎缩侧索硬化症（ALS）会影响各种眼球运动，这使得眼动追踪成为疾病监测的一种潜在手段。在本研究中，我们评估了ALS患者使用智能手机眼动追踪应用程序“EyePhone”自行记录眼动的可行性。
我们前瞻性地招募了10名参与者，为他们提供了一部安装有EyePhone应用程序的iPhone以及一份带有逐步记录说明的PowerPoint演示文稿。目标是让参与者在没有研究团队帮助的情况下记录他们的眼动（扫视和平稳跟踪）。之后，一名经过培训的医生使用视频眼动图（VOG）护目镜进行相同的测试，并要求参与者完成一份关于他们自行记录体验的问卷。
所有参与者均在没有研究团队协助的情况下成功完成了自行记录过程。问卷数据表明，参与者对使用EyePhone自行记录评价良好，认为其简单且舒适。此外，70%的参与者表示他们更喜欢自行记录，而不是使用VOG护目镜进行记录。
通过适当的指导，ALS患者能够有效地使用EyePhone记录他们的眼动，甚至可能在家庭环境中进行。这些结果表明，智能手机眼动追踪技术有潜力成为一种可行的、可自行操作的工具，用于监测ALS的疾病进展，减少频繁门诊就诊的需求。
