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

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

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 diag...

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Bibliographic Details
Main Authors:	Qayoom, Abdul, Abdul Rahman, Abdul Wahab, Kamaruddin, Norhaslinda
Format:	Proceeding Paper
Language:	English English
Published:	International Society of Computers and Their Applications (ISCA) 2014
Subjects:	QP Physiology TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/58416/ http://irep.iium.edu.my/58416/1/58416_Analysis%20of%20EEG%20signals_complete.pdf http://irep.iium.edu.my/58416/2/58416_Analysis%20of%20EEG%20signals_scopus.pdf

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