Paper Title
Eye disease detection using EEG signals
Article Identifiers
Authors
Vishwa Doshi , Aitha Vishal , P. Velmurugan
Keywords
Machine learning, neural network, convolutional neural networks, deep learning, EEG
Abstract
The crucial and difficult problem of detecting ocular illnesses from the EEG signals of the human eye has important therapeutic implications. This work explores the use of deep learning algorithms—more especially, EfficientNet B2—for precise and automated diagnosis of ocular diseases. Our method uses image processing and convolutional neural networks to deliver a stable and effective solution. We use a large dataset of EEG scans that covers all phases and types of eye diseases to train and evaluate the model. Some of the research's major achievements include creating a comprehensive pipeline to prepare EEG data, refining the EfficientNet B2 architecture, and thoroughly analysing the model's performance. Our findings show the potential for accurate, sensitive, and precise classification of eye disorders. Deep learning algorithms to improve patient care and management by helping clinicians with early and accurate diagnosis
Downloads
How To Cite (APA)
Vishwa Doshi, Aitha Vishal, & P. Velmurugan (April-2024). Eye disease detection using EEG signals. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), f579-f586. https://ijnrd.org/papers/IJNRD2404571.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : f579-f586
Other Publication Details
Paper Reg. ID: IJNRD_217080
Published Paper Id: IJNRD2404571
Downloads: 000121980
Research Area: Engineering
Country: Chennai, Tamil Nadu, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404571.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404571
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG
Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


Publication Timeline
Article Preview: View Full Paper
Call For Paper
IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.
The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.
Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.
How to submit the paper?
By Our website
Click Here to Submit Paper Online
Important Dates for Current issue
Paper Submission Open For: September 2025
Current Issue: Volume 10 | Issue 9 | September 2025
Impact Factor: 8.76
Last Date for Paper Submission: Till 31-Oct-2025
Notification of Review Result: Within 1-2 Days after Submitting paper.
Publication of Paper: Within 01-02 Days after Submititng documents.
Frequency: Monthly (12 issue Annually).
Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.
Subject Category: Research Area
Call for Paper: More Details