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Epilepsy Detection Using DWT Based Hurst Exponent and SVM, K-NN Classifiers Cover

Epilepsy Detection Using DWT Based Hurst Exponent and SVM, K-NN Classifiers

EABR. Experimental and Applied Biomedical Research
Volume 19 (2018): Issue 4 (December 2018)
By: Ashok Sharmila,  Saiby Madan and  Kajri Srivastava  
Open Access
|Feb 2019
Authors

Authors

Ashok Sharmila

asharmila@vit.ac.in

VIT University Vellore, India

Saiby Madan

VIT University Vellore, India

Kajri Srivastava

VIT University Vellore, India
DOI: https://doi.org/10.1515/sjecr-2017-0043 | Journal eISSN: 2956-2090 | Journal ISSN: 2956-0454
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Language: English
Page range: 311 - 319
Submitted on: May 7, 2017
Accepted on: Aug 22, 2017
Published on: Feb 23, 2019
Published by: University of Kragujevac, Faculty of Medical Sciences
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Hurst exponent (HE),
Support vector machine (SVM),
Discrete wavelet transform (DWT),
K- nearest neighbor (KNN)
Related subjects:
Medicine,
Clinical medicine,
Clinical medicine, other

© 2019 Ashok Sharmila, Saiby Madan, Kajri Srivastava, published by University of Kragujevac, Faculty of Medical Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 19 (2018): Issue 4 (December 2018)
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