Academic Journal

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

التفاصيل البيبلوغرافية
العنوان: EEG-Based Methods for Diagnosing Color Vision Deficiency: A Comprehensive Review
المؤلفون: Ghada N. AlEssa, Saleh I. Alzahrani
المصدر: Applied Sciences, Vol 14, Iss 17, p 7579 (2024)
بيانات النشر: MDPI AG, 2024.
سنة النشر: 2024
المجموعة: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Biology (General)
LCC:Physics
LCC:Chemistry
مصطلحات موضوعية: brain–computer interface (BCI), classification, color vision deficiency (CVD), EEG processing, event-related potential (ERP), feature extraction, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 14177579
2076-3417
Relation: https://www.mdpi.com/2076-3417/14/17/7579; https://doaj.org/toc/2076-3417
DOI: 10.3390/app14177579
URL الوصول: https://doaj.org/article/720356c6b6e64ff0be5c0149d9e56836
رقم الانضمام: edsdoj.720356c6b6e64ff0be5c0149d9e56836
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:14177579
20763417
DOI:10.3390/app14177579