EEG-Based Methods for Diagnosing Color Vision Deficiency: A Comprehensive Review

7Citations
Citations of this article
18Readers
Mendeley users who have this article in their library.

Abstract

Color vision deficiency (CVD) is one of the most common disorders related to visual impairment. Individuals with this condition are unable to differentiate between colors due to the absence or impairment of one or more color photoreceptors in their retinas. This disorder can be diagnosed through multiple approaches. This review paper provides a comprehensive summary of studies on applying Brain–Computer Interface (BCI) technology for diagnosing CVD. The main purpose of this review is to help researchers understand how BCI can be further developed and utilized for diagnosing CVD in the future.

Cite

CITATION STYLE

APA

AlEssa, G. N., & Alzahrani, S. I. (2024, September 1). EEG-Based Methods for Diagnosing Color Vision Deficiency: A Comprehensive Review. Applied Sciences (Switzerland). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/app14177579

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free