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Kinetic Perimetry on Virtual Reality Headset
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  • Rossana Terracciano ,
  • Alice Mascolo ,
  • Laura Venturo ,
  • Federica Guidi ,
  • Mariangela Vaira ,
  • Chiara Maria Eandi ,
  • Danilo Demarchi
Rossana Terracciano
Politecnico di Torino

Corresponding Author:[email protected]

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Alice Mascolo
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Laura Venturo
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Federica Guidi
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Mariangela Vaira
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Chiara Maria Eandi
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Danilo Demarchi
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Abstract

Objective: we present a portable automatic kinetic perimeter based on a virtual reality (VR) headset device as innovative and alternative solution for the screening visual field clinical examination. We compared the performances of our solution with a gold standard perimeter, validating the test on healthy subjects. Methods: The system is composed by an Oculus Quest 2 as VR headset with a clicker for participant response feedback. An Android app was designed in Unity to generate moving stimuli along vectors, following a standard Goldmann kinetic perimetry approach. Sensitivity thresholds are obtained by moving centripetally three different targets (V/4e, IV/1e, III/1e) along 24 or 12 vectors from an area of non-seeing to an area of seeing and then transmitted wirelessly to a PC. A Python real-time algorithm processes the incoming kinetic results and displays the hill of vision in a two-dimensional map (isopter). We involved 21 subjects (5 males and 16, age range 22–73 years) for a total of 42 eyes tested with our proposed solution and results were compared with a Humphrey visual field analyzer to test reproducibility and efficacy. Results: isopters generated with the Oculus headset were in good agreement with those acquired with a commercial device (Pearson’s correlation values r > 0.83 for each target). Conclusions: we demonstrate feasibility of VR kinetic perimetry comparing performances between our system and a clinically used perimeter in healthy subjects. Significance: proposed device leads the way for a portable and more accessible visual field test, overcoming challenges in current kinetic perimetry practices.
Jun 2023Published in IEEE Transactions on Biomedical Circuits and Systems volume 17 issue 3 on pages 413-419. 10.1109/TBCAS.2023.3249045