Evidence map›Paper›PMID 40535616›Full record

ArticleDigital biomarkers

Feasibility of Using Smartphone Eye Tracking for Self-Recording Positional Tests.

Pouya B Bastani, Vidith Phillips, Hector Rieiro, Jorge Otero-Millan, David S Zee, David E Newman-Toker, Ali Saber Tehrani

Abstract read
In one paragraph

Article in Digital biomarkers. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Pouya B BastaniDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Vidith PhillipsDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Hector RieiroDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Jorge Otero-MillanHerbert Wertheim School of Optometry and Vision Science, University of California Berkeley, Berkeley, CA, USA.
David S ZeeDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
David E Newman-TokerDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Ali Saber TehraniDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: 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. Methods: 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. Results: 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. Conclusion: 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.

Indexed as

Benign paroxysmal positional vertigoEye trackingPositional testingSmartphones

Identifiers

PMID40535616
PMCPMC12176362

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.