INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
Keywords:
ANN, EEG, Epileptic Seizures, KNN, SVM
Cite Article:
"Classification of EEG signals Using ANN and SVM Classifiers", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 7, page no.334-338, July-2022, Available :http://www.ijnrd.org/papers/IJNRD2207041.pdf
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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
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