A feasibility study for objective evaluation of visual acuity based on pattern-reversal visual evoked potentials and other related visual parameters with machine learning algorithm

A feasibility study for objective evaluation of visual acuity based on pattern-reversal visual evoked potentials and other related visual parameters with machine learning algorithm

Abstract Background To develop machine learning models for objectively evaluating visual acuity (VA) based on pattern-reversal visual evoked potentials (PRVEPs) and other related visual parameters. Methods Twenty-four volunteers were recruited and forty-eight eyes were divided into four groups of 1....

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Bibliographic Details
Main Authors: Jian Zheng Chen, Cong Cong Li, Shao Heng Li, Yu Ting Su, Tao Zhang, Yu Sheng Wang, Guo Rui Dou, Tao Chen, Xiao Cheng Wang, Zuo Ming Zhang
Format: Article
Language:English
Published: BMC 2023-06-01
Series:BMC Ophthalmology
Subjects:
Visual acuity
Visual-evoked potentials
Refractive error
Aircrew
Machine learning
Online Access:https://doi.org/10.1186/s12886-023-03044-7

Internet

https://doi.org/10.1186/s12886-023-03044-7

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