TY - JOUR
T1 - Mobility improvement of patients with peripheral visual field losses using novel see-through digital spectacles
AU - Sayed, Ahmed M.
AU - Shousha, Mohamed Abou
AU - Baharul Islam, Islam
AU - Eleiwa, Taher K.
AU - Kashem, Rashed
AU - Abdel-Mottaleb, Mostafa
AU - Ozcan, Eyup
AU - Tolba, Mohamed
AU - Cook, Jane C.
AU - Parrish, Richard K.
N1 - Publisher Copyright:
Copyright: © 2020 Sayed et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/10
Y1 - 2020/10
N2 - Purpose To evaluate see-through Augmented Reality Digital spectacles (AR DSpecs) for improving the mobility of patients with peripheral visual field (VF) losses when tested on a walking track. Design Prospective Case Series. Participants 21 patients with peripheral VF defects in both eyes, with the physical ability to walk without assistance. Methods We developed the AR DSpecs as a wearable VF aid with an augmented reality platform. Image remapping algorithms produced personalized visual augmentation in real time based on the measured binocular VF with the AR DSpecs calibration mode. We tested the device on a walking track to determine if patients could more accurately identify peripheral objects. Main outcome measures We analyzed walking track scores (number of recognized/avoided objects) and eye tracking data (six gaze parameters) to measure changes in the kinematic and eye scanning behaviors while walking, and assessed a possible placebo effect by deactivating the AR DSpecs remapping algorithms in random trials. Results Performance, judged by the object detection scores, improved with the AR DSpecs (P<0.001, Wilcoxon rank sum test) with an average improvement rate of 18.81%. Two gaze parameters improved with the activated algorithm (P<0.01, paired t-test), indicating a more directed gaze on the central path with less eye scanning. Determination of the binocular integrated VF with the DSpecs correlated with the integrated standard automated perimetry (R = 0.86, P<0.001), mean sensitivity difference 0.8 ± 2.25 dB (Bland-Altman). Conclusions AR DSpecs may improve walking maneuverability of patients with peripheral VF defects by enhancing detection of objects in a testing environment.
AB - Purpose To evaluate see-through Augmented Reality Digital spectacles (AR DSpecs) for improving the mobility of patients with peripheral visual field (VF) losses when tested on a walking track. Design Prospective Case Series. Participants 21 patients with peripheral VF defects in both eyes, with the physical ability to walk without assistance. Methods We developed the AR DSpecs as a wearable VF aid with an augmented reality platform. Image remapping algorithms produced personalized visual augmentation in real time based on the measured binocular VF with the AR DSpecs calibration mode. We tested the device on a walking track to determine if patients could more accurately identify peripheral objects. Main outcome measures We analyzed walking track scores (number of recognized/avoided objects) and eye tracking data (six gaze parameters) to measure changes in the kinematic and eye scanning behaviors while walking, and assessed a possible placebo effect by deactivating the AR DSpecs remapping algorithms in random trials. Results Performance, judged by the object detection scores, improved with the AR DSpecs (P<0.001, Wilcoxon rank sum test) with an average improvement rate of 18.81%. Two gaze parameters improved with the activated algorithm (P<0.01, paired t-test), indicating a more directed gaze on the central path with less eye scanning. Determination of the binocular integrated VF with the DSpecs correlated with the integrated standard automated perimetry (R = 0.86, P<0.001), mean sensitivity difference 0.8 ± 2.25 dB (Bland-Altman). Conclusions AR DSpecs may improve walking maneuverability of patients with peripheral VF defects by enhancing detection of objects in a testing environment.
UR - http://www.scopus.com/inward/record.url?scp=85092767021&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85092767021&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0240509
DO - 10.1371/journal.pone.0240509
M3 - Article
C2 - 33052969
AN - SCOPUS:85092767021
VL - 15
JO - PLoS One
JF - PLoS One
SN - 1932-6203
IS - 10 October
M1 - e0240509
ER -