June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
The effect of visual field losses on eye scanning behavior during walking: An obstacle track study
Author Affiliations & Notes
  • Ahmed Sayed
    EECS, Milwaukee School of Engineering, Milwaukee, Wisconsin, United States
    Biomedical Engineering, Helwan University, Helwan, Cairo, Egypt
  • Mohamed Abou Shousha
    Ophthalmology, University of Miami Health System Bascom Palmer Eye Institute, Miami, Florida, United States
  • Richard K Parrish
    Ophthalmology, University of Miami Health System Bascom Palmer Eye Institute, Miami, Florida, United States
  • Footnotes
    Commercial Relationships   Ahmed Sayed Heru Inc., Code C (Consultant/Contractor); Mohamed Abou Shousha Heru Inc., Code I (Personal Financial Interest), University of Miami, Code P (Patent); Richard Parrish None
  • Footnotes
    Support  This research has been partially supported by the National Institute of Health (NIH) under Grant # K23 KEY026118A, NEI core center grant to the University of Miami (P30 EY014801), and Research to Prevent Blindness (RPB). Research and its contents are solely the responsibility of the authors and do not necessarily represent the official view of the funding organizations.
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 5324. doi:
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    • Get Citation

      Ahmed Sayed, Mohamed Abou Shousha, Richard K Parrish; The effect of visual field losses on eye scanning behavior during walking: An obstacle track study. Invest. Ophthalmol. Vis. Sci. 2023;64(8):5324.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : To assess the relationship between eye scanning parameters while walking and visual filed test statistics for patients diagnosed with visual field (VF) defects in a case series study.

Methods : We developed a wearable head mounted platform equipped with an eye tracking system, a micro-PC, and a battery. The lightweight platform is capable of recording gaze parameters while walking in a comfortable manner. Fifteen patients with known VF defects participated in this study. All participants performed VF tests for both eyes with standard automated perimetry (SAP). Patients were asked to walk twice with the eye tracking platform in a validated obstacle track, as described in a previous work. We averaged the recorded gaze parameters over the two walking trials and performed Pearson’s linear correlation analysis with the three commonly reported VF testing indices: mean deviation (MD), pattern standard deviation (PSD), and the VF index (VFI). The best eye’s VF testing indices were included in the correlation assessment. We analyzed nine gaze parameters: number of fixations, fixations time rate, mean and variance of fixation locations, mean fixation period, number of saccades, saccades time rate, mean saccadic period, and mean saccadic amplitude.

Results : The number of saccades and saccadic rate (in saccades per second) were determined to be linearly correlated with the MD and PSD statistics. However, VFI was not found to be correlated with any gaze parameter. Statistical testing showed a significant correlation between the number of saccades and MD (R = 0.56, P= 0.02, 95% CI: 0.10 to 0.83) and PSD values (R = 0.55, P= 0.03, 95% CI: 0.06 to 0.83). Additionally, saccadic rate linear correlation was significant with MD (R = 0.61, P= 0.01, 95% CI: 0.16 to 0.85) and PSD (R = 0.65, P= 0.01, 95% CI: 0.20 to 0.87). Correlation of the two saccadic parameters with MD and PSD values may suggest an association between rapid eye movements and the degree and irregularity of VF losses. However, we did not find statistical evidence showing that these two gaze parameters correlate with the amount of remaining function of the best eye of the participants, as the VFI was not significantly correlated with the gaze parameters (P>0.05).

Conclusions : Number of eye saccades and saccadic time rate while walking showed a possible association with the degree and irregularity of VF losses as represented by MD and PSD statistics.

This abstract was presented at the 2023 ARVO Annual Meeting, held in New Orleans, LA, April 23-27, 2023.

 

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