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Diagnosis of Encephalopathy Based on Energies of EEG Subbands Using Discrete Wavelet Transform and Support Vector Machine
Joint Authors
Jacob, Jisu Elsa
Nair, Gopakumar Kuttappan
Iype, Thomas
Cherian, Ajith
Source
Neurology Research International
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-02
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
EEG analysis in the field of neurology is customarily done using frequency domain methods like fast Fourier transform.
A complex biomedical signal such as EEG is best analysed using a time-frequency algorithm.
Wavelet decomposition based analysis is a relatively novel area in EEG analysis and for extracting its subbands.
This work aims at exploring the use of discrete wavelet transform for extracting EEG subbands in encephalopathy.
The subband energies were then calculated and given as feature sets to SVM classifier for identifying cases of encephalopathy from normal healthy subjects.
Out of various combinations of subband energies, energy of delta subband yielded highest performance parameters for SVM classifier with an accuracy of 90.4% in identifying encephalopathy cases.
American Psychological Association (APA)
Jacob, Jisu Elsa& Nair, Gopakumar Kuttappan& Iype, Thomas& Cherian, Ajith. 2018. Diagnosis of Encephalopathy Based on Energies of EEG Subbands Using Discrete Wavelet Transform and Support Vector Machine. Neurology Research International،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1210577
Modern Language Association (MLA)
Jacob, Jisu Elsa…[et al.]. Diagnosis of Encephalopathy Based on Energies of EEG Subbands Using Discrete Wavelet Transform and Support Vector Machine. Neurology Research International No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1210577
American Medical Association (AMA)
Jacob, Jisu Elsa& Nair, Gopakumar Kuttappan& Iype, Thomas& Cherian, Ajith. Diagnosis of Encephalopathy Based on Energies of EEG Subbands Using Discrete Wavelet Transform and Support Vector Machine. Neurology Research International. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1210577
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1210577