September 2021
Volume 21, Issue 9
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2021
Objective Dynamic Visual Acuity Assessment Method Based on Steady-State Visual Evoked Potentials with Smooth-Pursuit Eye Movements Recording
Author Affiliations
  • Chenghang Du
    School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China
  • GUANGHUA XU
    School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China
    State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, China
  • XIAOWEI ZHENG
    School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China
  • KAI ZHANG
    School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China
  • PEIYUAN TIAN
    School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China
  • SICONG ZHANG
    School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China
    State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, China
Journal of Vision September 2021, Vol.21, 2452. doi:https://doi.org/10.1167/jov.21.9.2452
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Chenghang Du, GUANGHUA XU, XIAOWEI ZHENG, KAI ZHANG, PEIYUAN TIAN, SICONG ZHANG; Objective Dynamic Visual Acuity Assessment Method Based on Steady-State Visual Evoked Potentials with Smooth-Pursuit Eye Movements Recording. Journal of Vision 2021;21(9):2452. doi: https://doi.org/10.1167/jov.21.9.2452.

      Download citation file:


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

      ×
  • Supplements
Abstract

Dynamic visual acuity (DVA) is a measurement of the ability to discriminate critical details of relative moving objects. It is regarded as a superior observation index that can reflect the comprehensive functional state of a vision system. However, there is still not a gold criterion for DVA assessment in the clinical test. Recently, steady-state visual evoked potential (SSVEP) is proved as an objective, quantitative and sensitive method of evaluating objective visual acuity. By recording and analyzing SSVEP signals and eye movements, a new approach to assess DVA levels can also be provided. In this study, we designed a special paradigm to induce EEG and eye movement signals simultaneously. A checkerboard flips in the background at 7.5 Hz, while the visible part of a mask makes a circular motion, which is stable in stimulation and convenient for programming. The spatial frequencies of checkerboard optotypes were designed into ten levels, corresponding to the minimum angle of resolution of 1′ to 10′. The visible part was 10° to the subjects, and its velocity was set at two speeds (20°/s and 40°/s). The empirical mode decomposition (EMD), canonical correlation analysis (CCA), and some statistical methods were used in signal processing. The frequency feature of the SSVEP signals was calculated to reflect DVA levels. The standard error (SE) of eye movements was used as the test's reliability index to prevent ineffective eye tracking movements. The result of the proposed objective method was compared with a traditional subjective method, e.g., DinVA 3.0. The objective and subjective visual acuity of fifteen healthy adults were tested at both speeds. It was confirmed that their results were correlated significantly. Our study proved that SSVEP is an objective and quantitative method to measure dynamic visual acuity. The combination of eye movements and EEG signals is feasible and shows excellent potential.

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×