NDLI: Classification of EEG signals for detection of epileptic seizure activities based on feature extraction from brain maps using image processing algorithms

Content Provider	IET Digital Library
Author	Jothiraj, Sairamya Nanjappan Selvaraj, Thomas George Ramasamy, Balakrishnan Deivendran, Narain Ponraj P, Subathra M. S.
Abstract	This study presents a novel feature extraction approach based on image processing algorithms for the automated detection of epileptic seizure activities in brain map representation of electroencephalography (EEG) signal using an efficient classification technique. The proposed technique uses independent component analysis to extract independent components (ICs) from the EEG signal and each extracted IC is transformed into an image termed as brain maps. Two feature extraction techniques namely closed neighbourhood gradient pattern (CNGP) and combined texture pattern (CTP) are propounded for automatic elimination of artefact brain maps. The extracted features are fed into the least square support vector machine (LSSVM) for automatic detection of epileptic brain maps. Extensive experimental result over the existing image processing techniques in literature demonstrates that the texture pattern representations of CNGP and CTP are improved to obtain better features to enhance the performance of texture classification. The obtained result shows that the LSSVM classifier with Gaussian RBF kernel is able to detect the epileptic brain map with a high accuracy rate. The results are reliable and it assists the neurologist to diagnose epileptic signals effortlessly by visually locating the brain area being affected by seizure activities.
Starting Page	2153
Ending Page	2162
Page Count	10
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 12, Dec (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5418
Journal	IET Image Processing
Publisher Date	2018-08-14
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Artefact Brain Maps Bioelectric Signal Biology And Medical Computing Brain Map Representation Closed Neighbourhood Gradient Pattern Computer Vision And Image Processing Technique EEG Signal Electrical Activity in Neurophysiological Processes Electrodiagnostics And Other Electrical Measurement Technique Electroencephalography Electroencephalography Signal Epileptic Brain Map Epileptic Seizure Activities Epileptic Signal Feature Extraction Feature Extraction Approach Gaussian Processes Gaussian RBF Kernel Gradient Method IC Extraction Image Classification Image Processing Algorithm Image Recognition Image Texture Independent Component Analysis Interpolation And Function Approximation Knowledge Engineering Technique Least Square Support Vector Machine Least Squares Approximation Medical Disorders Medical Signal Processing Neural Computing Technique Numerical Analysis Numerical Approximation And Analysis Probability Theory Radial Basis Function Network Statistics Stochastic Linearised SCUC Support Vector Machine Texture Classification Texture Pattern Representations
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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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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