• Susan L Whitney, Victoria Ou, Pedram Hovareshti, Cláudia M Costa, Amy R Cassidy, Pamela M Dunlap, Shamus Roeder, Lisa Holt, Devendra Tolani, Brooke N Klatt, and Carrie W Hoppes.
• Department of Physical Therapy, University of Pittsburgh, Pittsburgh, PA 15219, USA.
• Mil Med. 2023 Jul 22; 188 (7-8): e1795e1801e1795-e1801.

IntroductionThe VestAid is a tablet-based application that provides feedback about a patient's eye/head movements during exercise after concussion. The goal of this case series was to determine if VestAid could be used to detect eye-gaze accuracy in a participant exposed to directed energy (DE).Materials And MethodsThe VestAid results of a participant with DE were compared to an age- and gender-matched healthy control, a participant post-concussion, and a participant with vestibular neuritis. A tablet with VestAid software was utilized to record eye-gaze accuracy and head speed during VORx1 exercises using eye and facial recognition as participants were exposed to 12 visual scenes.ResultsThe participant with DE consistently had difficulty with eye-gaze accuracy when the head was rotated towards the right for all trials. The participant with DE had poor eye-gaze accuracy during all phases of the head turn cycle compared to the control participant (mean 47.91%, [SD = 7.32%] for the DE participant versus mean 94.28%, [SD = 5.87%] for the control participant). Post-exercise dizziness and perceived difficulty in the 12 exercises completed by the participant with DE were strongly related (Spearman's rho = 0.7372, P = .0062). The participant with DE had the lowest scores on 10 of the 12 head movement trials.ConclusionsVestAid provided unique information about eye-gaze accuracy that detected eye movement abnormalities in the participants with DE exposure, concussion, and vestibular neuritis. The objective metrics of eye-gaze stability correlate with participants' symptoms and perceived difficulty of the eye/head movements.Published by Oxford University Press on behalf of the Association of Military Surgeons of the United States 2022. This work is written by (a) US Government employee(s) and is in the public domain in the US.

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