Classification of EEG signals Using ANN and SVM Classifiers

Classification of EEG signals Using ANN and SVM Classifiers

Registration ID: IJNRD_182000

Published ID: IJNRD2207041

DOI: Click Here to Get

H K Shreedhar , Yogesh Negi , Sameer K A , Sanghavi K A , Brahmesh G

ANN, EEG, Epileptic Seizures, KNN, SVM

Epilepsy is one of the Central Nervous System (CNS) disorders in which brain activity becomes abnormal, causing seizures. In this work, EEG database available at the University of Bon website is used to analyse and detect epilepsy. From each EEG signal, three features mean, mode and variance are extracted. These features are used to train ANN, SVM and KNN classifier models to detect epileptic seizures. Comparison of different classifiers is also performed.

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"Classification of EEG signals Using ANN and SVM Classifiers", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 7, page no.334-338, July-2022, Available :https://ijnrd.org/papers/IJNRD2207041.pdf

Volume 7 Issue 7, July-2022

Pages : 334-338

Paper Reg. ID: IJNRD_182000

Published Paper Id: IJNRD2207041

Downloads: 000121154

Research Area: Engineering

Country: Bengaluru, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2207041.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2207041

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

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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