NDLI: Analysis of EEG signal for seizure detection based on WPT

Content Provider	IET Digital Library
Author	Arı, A.
Abstract	Electroencephalogram (EEG) is a diagnostic method that provides information about the functioning of the brain. EEG can be used to diagnose the abnormally functioning part of the brain by monitoring electrical activities. An automated system has been proposed to create a computer-based expert opinion needed in the detection of epilepsy and to capture a more objective view. To this end, the approximation and detail coefficients of EEG signals are calculated by using the wavelet packet transform (WPT). The coefficients were subjected to feature extraction using dispersion entropy and line length methods. The extracted feature vector has been applied as input to the support vector machine (SVM) and k-nearest neighbour (KNN) classifiers. The proposed method was tested using the public EEG seizure dataset created by the University of Bonn. In this study, the dataset was evaluated in two different ways as binary cases and multiclass cases. Evaluated classification accuracy was 100% for binary classification with SVM. For multiclass classification evaluated accuracy was 99.85% with KNN. The proposed method was compared with other methods in the literature using the same dataset. The comparison results provide the superiority of the proposed method.
Starting Page	1381
Ending Page	1383
Page Count	3
ISSN	00135194
Volume Number	56
e-ISSN	1350911X
Issue Number	Issue 25, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/56/25
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2020.2701
Journal	Electronics Letters
Publisher Date	2020-10-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Abnormally Functioning Part Automated System Binary Cases Binary Classification Bioelectric Signal Biology And Medical Computing Brain Computer Vision And Image Processing Technique Computer-based Expert Opinion Diagnostic Method Digital Signal Processing Dispersion Entropy EEG Signal Electrical Activities Electrical Activity in Neurophysiological Processes Electrodiagnostics And Other Electrical Measurement Technique Electroencephalography Entropy Evaluated Classification Accuracy Extracted Feature Vector Feature Extraction KNN Knowledge Engineering Technique Line Length Method Medical Signal Detection Medical Signal Processing Multiclass Cases Multiclass Classification Evaluated Accuracy Neighbour Classifier Objective View Pattern Classification Public EEG Seizure Dataset Seizure Detection Signal Classification Signal Detection Signal Processing And Detection Statistics Support Vector Machine SVM Wavelet Packet Wavelet Transform WPT
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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