Wavelets and Morphological Operators Based Classification of Epilepsy Risk Levels
Joint Authors
Thangavel, Vijayakumar
Rajaguru, Harikumar
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-07
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The objective of this paper is to compare the performance of Singular Value Decomposition (SVD), Expectation Maximization (EM), and Modified Expectation Maximization (MEM) as the postclassifiers for classifications of the epilepsy risk levels obtained from extracted features through wavelet transforms and morphological filters from EEG signals.
The code converter acts as a level one classifier.
The seven features such as energy, variance, positive and negative peaks, spike and sharp waves, events, average duration, and covariance are extracted from EEG signals, out of which four parameters like positive and negative peaks, spike and sharp waves, events, and average duration are extracted using Haar, dB2, dB4, and Sym8 wavelet transforms with hard and soft thresholding methods.
The above said four features are also extracted through morphological filters.
The performance of the code converter and classifiers are compared based on the parameters such as Performance Index (PI) and Quality Value (QV).
The Performance Index and Quality Value of code converters are at low value of 33.26% and 12.74, respectively.
The highest PI of 98.03% and QV of 23.82 are attained at dB2 wavelet with hard thresholding method for SVD classifier.
All the postclassifiers are settled at PI value of more than 90% at QV of 20.
American Psychological Association (APA)
Rajaguru, Harikumar& Thangavel, Vijayakumar. 2014. Wavelets and Morphological Operators Based Classification of Epilepsy Risk Levels. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-500087
Modern Language Association (MLA)
Rajaguru, Harikumar& Thangavel, Vijayakumar. Wavelets and Morphological Operators Based Classification of Epilepsy Risk Levels. Mathematical Problems in Engineering No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-500087
American Medical Association (AMA)
Rajaguru, Harikumar& Thangavel, Vijayakumar. Wavelets and Morphological Operators Based Classification of Epilepsy Risk Levels. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-500087
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-500087