Bastani Pouya B, Phillips Vidith, Rieiro Hector, Otero-Millan Jorge, Zee David S, Newman-Toker David E, Saber Tehrani Ali
Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Armstrong Institute Center for Diagnostic Excellence, Baltimore, MD, USA.
Digit Biomark. 2025 May 23;9(1):98-103. doi: 10.1159/000545720. eCollection 2025 Jan-Dec.
Benign paroxysmal positional vertigo (BPPV) is a common cause of dizziness that is diagnosed by detecting nystagmus through positional maneuvers. Limited access to expert clinicians to correctly perform and interpret the eye movement findings of positional tests can hamper the diagnosis and delay the treatment. We aimed to assess the usability of a smartphone-based eye-tracking application (EyePhone) for self-recording eye movements during positional testing.
Healthy volunteers were enrolled and provided instructions to perform Dix-Hallpike and Supine Roll tests using the EyePhone application to record themselves. A study team member was instructed to observe the process without interfering. They recorded the time each section took and the accuracy of performing positional tests. Usability was assessed using the mHealth App Usability Questionnaire (MAUQ), and expert evaluation of recorded videos determined quality.
All participants successfully performed the tests and recorded their eye movements. On average, after watching the instruction, it took participants 3 min 31 s to record the Dix-Hallpike test and 3 min 4 s to record the Supine Roll test. Nine participants completed Dix-Hallpike without major errors, and all completed the Supine Roll successfully. An expert review found that 95% of videos had clear eye visibility. Participants rated the app as easy to use and stated that they would use the app again.
We demonstrated the usability and feasibility of the EyePhone app for self-recording positional tests. This application offers the potential for remote BPPV diagnosis and improved patient access to care.
良性阵发性位置性眩晕(BPPV)是头晕的常见原因,通过位置性手法检测眼球震颤来进行诊断。获得专家临床医生来正确执行和解读位置性测试的眼动结果的机会有限,可能会妨碍诊断并延误治疗。我们旨在评估一款基于智能手机的眼动追踪应用程序(EyePhone)在位置性测试期间自我记录眼动的可用性。
招募健康志愿者,并提供使用EyePhone应用程序进行Dix-Hallpike和仰卧翻滚试验以进行自我记录的指导。指示一名研究团队成员观察过程而不进行干预。他们记录每个部分所花费的时间以及执行位置性测试的准确性。使用移动健康应用程序可用性问卷(MAUQ)评估可用性,并通过对录制视频的专家评估来确定质量。
所有参与者均成功完成测试并记录了他们的眼动。平均而言,观看指导后,参与者记录Dix-Hallpike测试花费3分31秒,记录仰卧翻滚测试花费3分4秒。9名参与者完成Dix-Hallpike测试时无重大错误,所有参与者均成功完成仰卧翻滚测试。专家评审发现95%的视频中眼睛清晰可见。参与者对该应用程序的评价是易于使用,并表示会再次使用该应用程序。
我们证明了EyePhone应用程序用于自我记录位置性测试的可用性和可行性。该应用程序为远程BPPV诊断以及改善患者获得护理的机会提供了潜力。