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Portable System for Neuro-Optical Diagnostics Using Virtual Reality Display
Author(s) -
Craig Versek,
Armen Rissmiller,
Anthony Tran,
Munish Taya,
Kaushik Chowdhury,
Peter J. Bex,
Srinivas Sridhar
Publication year - 2019
Publication title -
military medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.442
H-Index - 67
eISSN - 1930-613X
pISSN - 0026-4075
DOI - 10.1093/milmed/usy286
Subject(s) - headset , computer science , electroencephalography , adaptation (eye) , virtual reality , visual field , signal (programming language) , computer vision , artificial intelligence , neuroscience , psychology , telecommunications , programming language
A new product prototype system for diagnosing vision and neurological disorders, called NeuroDotVR, is described herein: this system utilizes a novel wireless NeuroDot brain sensor [Versek C et al. J Neural Eng. 2018 Aug; 15(4):046027] that quantitatively measures visual evoked potentials and fields resulting from custom visual stimuli displayed on a smartphone housed in a virtual reality headset. The NeuroDot brain sensor is unique in that it can be operated both in regular electroencephalography mode, as well as a new electric field encephalography mode, which yields improvements in signal sensitivity and provides new diagnostic information. Steady state and transient visual evoked potentials and fields using reversing checkerboard stimuli are presented with case studies in amblyopia, glaucoma, and dark adaptation. These preliminary data sets highlight potential clinical applications that may be pursued in further product development and scientific studies.

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