Toward Improving the Mobility of Patients with Peripheral Visual Field Defects with Novel Digital Spectacles.
Ahmed M Sayed, Rashed Kashem, Mostafa Abdel-Mottaleb, Vatookarn Roongpoovapatr, Taher K Eleiwa, Mohamed Abdel-Mottaleb, Richard K Parrish, Shousha Mohamed Abou
Summary
DSpecs may improve mobility by facilitating the ability of patients to better identify moving peripheral hazardous objects.
Abstract
PURPOSE
To assess the efficacy of novel Digital spectacles (DSpecs) to improve mobility of patients with peripheral visual field (VF) loss.
DESIGN
Prospective case series.
METHODS
Binocular VF defects were quantified with the DSpecs testing strategy. An algorithm was implemented that generated personalized visual augmentation profiles based on the measured VF. These profiles were achieved by relocating and resizing video signals to fit within the remaining VF in real time. Twenty patients with known binocular VF defects were tested using static test images, followed by dynamic walking simulations to determine if they could identify objects and avoid obstacles in an environment mimicking a real-life situation. The effect of the DSpecs were assessed for visual/hand coordination with object-grasping tests. Patients performed these tests with and without the DSpecs correction profile.
RESULTS
The diagnostic binocular VF testing with the DSpecs was comparable to the integrated monocular standard automated perimetry based on point-by-point assessment with a mismatch error of 7.0%. Eighteen of 20 patients (90%) could identify peripheral objects in test images with the DSpecs that they could not previously. Visual/hand coordination was successful for 17 patients (85%) from the first trial. The object-grasping performance improved to 100% by the third trial. Patient performance, judged by finding and identifying objects in the periphery in a simulated walking environment, was significantly better with the DSpecs (P = 0.02, Wilcoxon rank sum test).
CONCLUSIONS
DSpecs may improve mobility by facilitating the ability of patients to better identify moving peripheral hazardous objects.
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