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Singular Values as a Detector of Epileptic Seizures in EEG Signals

Shahid, Arslan and Kamel , Nidal and Malik, Aamir Saeed (2014) Singular Values as a Detector of Epileptic Seizures in EEG Signals. In: 5th International Conference on Intelligent and Advanced Systems, ICIAS 2014.

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Abstract

This paper introduces a new method based on the Singular Values of EEG signals for the detection of epileptic seizures. Singular Value Decomposition was performed on an EEG signal in epochs of 8 seconds and Singular Values were extracted from each epoch. These singular values were fed into Support Vector Machine (SVM) for a binary classification between epileptic seizure and non- seizure events. Singular Values of EEG signals proved to be a very good feature for the detection of epileptic seizures and gave a classification accuracy of 90%, and an average sensitivity and specificity of 91% and 89%, respectively.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > Q Science (General)
T Technology > T Technology (General)
Academic Subject One:Neuroimaging
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
Departments > Electrical & Electronic Engineering
Mission Oriented Research > Health
ID Code:11418
Deposited By: Dr Aamir Saeed Malik
Deposited On:28 Apr 2015 02:54
Last Modified:28 Apr 2015 02:54

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