NDLI: Robust seizure detection in EEG using 2D DWT of time-frequency distributions

Content Provider	IET Digital Library
Author	Yusaf, M. Nawaz, R. Iqbal, J.
Abstract	Seizure is a psychological disorder which is observed through electroencephalography (EEG) by monitoring the electrical activity inside our brain. Joint time-frequency (TF) analysis is helpful for capturing the dynamic property of EEG signals as solely time or frequency analysis is not sufficient to clearly depict the non-stationary electrical activity. This study is based on the use of 2D discrete wavelet transform (DWT) for feature extraction from the TF image with seizure classification performed through support vector machine. For classifier evaluation a dataset of 80 seizure and 80 non-seizure samples are used, with leave-one-out cross-validation method. The proposed scheme achieved an impressive accuracy of 99.375% and has outperformed state of the art by 6%. This work will assist physicians in seizure detection, particularly in neonatal case where it can cause a life-time disability.
Starting Page	902
Ending Page	903
Page Count	2
ISSN	00135194
Volume Number	52
e-ISSN	1350911X
Issue Number	Issue 11, May (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/52/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2016.0630
Journal	Electronics Letters
Publisher Date	2016-04-26
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	2D DWT Bioelectric Signal Biology And Medical Computing Computer Vision And Image Processing Technique Discrete Wavelet Transform EEG Electrodiagnostics And Other Electrical Measurement Technique Electroencephalography Feature Extraction Function Theory And Analysis Health Physics Image Classification Image Recognition Image Sampling Integral Transforms Knowledge Engineering Technique Leave-one-out Cross-validation Method Medical And Biomedical Uses of Field Medical Disorders Medical Image Processing Medical Signal Detection Nonstationary Electrical Activity Monitoring Patient Diagnostic Method And Instrumentation Psychological Disorder Radiations Radioactivity Robust Seizure Detection Signal Detection Support Vector Machine TF Analysis TF Image Classification Time-frequency Analysis Time-frequency Distribution
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
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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