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

Ghada N. AlEssa; Saleh I. Alzahrani

doi:10.3390/app14177579

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

Ghada N. AlEssa
, Saleh I. Alzahrani^*

^*Corresponding author for this work

Biomedical Engineering Department

Imam Abdulrahman Bin Faisal University

Research output: Contribution to journal › Review article › peer-review

5 Scopus citations

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.

Original language	English
Article number	7579
Journal	Applied Sciences (Switzerland)
Volume	14
Issue number	17
DOIs	https://doi.org/10.3390/app14177579
State	Published - Sep 2024

Keywords

brain–computer interface (BCI)
classification
color vision deficiency (CVD)
EEG processing
event-related potential (ERP)
feature extraction
steady-state visually evoked potential (SSVEP)

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10.3390/app14177579

Cite this

@article{72a866d65d2e4b5b99fc400ded50286b,

title = "EEG-Based Methods for Diagnosing Color Vision Deficiency: A Comprehensive Review",

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.",

keywords = "brain–computer interface (BCI), classification, color vision deficiency (CVD), EEG processing, event-related potential (ERP), feature extraction, steady-state visually evoked potential (SSVEP)",

author = "AlEssa, \{Ghada N.\} and Alzahrani, \{Saleh I.\}",

note = "Publisher Copyright: {\textcopyright} 2024 by the authors.",

year = "2024",

month = sep,

doi = "10.3390/app14177579",

language = "English",

volume = "14",

journal = "Applied Sciences (Switzerland)",

publisher = "MDPI",

number = "17",

}

TY - JOUR

T1 - EEG-Based Methods for Diagnosing Color Vision Deficiency

T2 - A Comprehensive Review

AU - AlEssa, Ghada N.

AU - Alzahrani, Saleh I.

PY - 2024/9

Y1 - 2024/9

N2 - 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.

AB - 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.

KW - brain–computer interface (BCI)

KW - classification

KW - color vision deficiency (CVD)

KW - EEG processing

KW - event-related potential (ERP)

KW - feature extraction

KW - steady-state visually evoked potential (SSVEP)

UR - https://www.scopus.com/pages/publications/85203649432

U2 - 10.3390/app14177579

DO - 10.3390/app14177579

M3 - Review article

AN - SCOPUS:85203649432

VL - 14

JO - Applied Sciences (Switzerland)

JF - Applied Sciences (Switzerland)

IS - 17

M1 - 7579

ER -

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

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Keywords

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Study Findings from Imam Abdulrahman Bin Faisal University Provide New Insights into Applied Sciences (EEG-Based Methods for Diagnosing Color Vision Deficiency: A Comprehensive Review)

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

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Study Findings from Imam Abdulrahman Bin Faisal University Provide New Insights into Applied Sciences (EEG-Based Methods for Diagnosing Color Vision Deficiency: A Comprehensive Review)

Cite this