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Analysis of EEG signals using mathematical morphology decomposition and kurtosis: Detection of epileptiforms

Qayoom, Abdul and Abdul Rahman, Abdul Wahab and Kamaruddin, Norhaslinda (2014) Analysis of EEG signals using mathematical morphology decomposition and kurtosis: Detection of epileptiforms. In: 27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014, 13-15 October 2014, New Orleans; United States.

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Abstract

Epileptic seizures are indicators of epilepsy. Thorough analyses of the electroencephalograph (EEG) records can provide valuable insight and improved understanding of the mechanisms causing epileptic disorders. The detection of epileptiform discharges in the EEG is an important component in the diagnosis of epilepsy. As EEG signals are non-stationary, the conventional method of frequency analysis is not highly successful in diagnostic classification. This paper reviews the fundamental operations of Mathematical Morphology and its application in EEG signals processing. The nature of epileptic EEG is hidden in its geometric structure and Mathematical Morphology is applied to decompose and quantize EEG Signal based on its geometric structure. Kurtosis which gives measure of peakiness of a signal is calculated for each of the constituents from which the feature vector is constructed. Multi-layer Perceptron (MLP) is used for classification to differentiate between various types of EEG classes. The differentiation between epileptic and normal EEG is achieved with accuracy of around 90%.

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 6145/58416
Uncontrolled Keywords: EEG classification; Kurtosis; Mathematical morphology; MLP Seizure detection
Subjects: Q Science > QP Physiology
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Information and Communication Technology
Kulliyyah of Information and Communication Technology

Kulliyyah of Information and Communication Technology > Department of Computer Science
Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User: Prof Abdul Wahab Abdul Rahman
Date Deposited: 20 Sep 2017 09:48
Last Modified: 24 Jan 2019 14:18
URI: http://irep.iium.edu.my/id/eprint/58416

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