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

• Main Authors: Qayoom, Abdul, Abdul Rahman, Abdul Wahab, Kamaruddin, Norhaslinda
• Format: Conference or Workshop Item
• 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/58416/1/58416_Analysis%20of%20EEG%20signals_complete.pdf; http://irep.iium.edu.my/58416/2/58416_Analysis%20of%20EEG%20signals_scopus.pdf; http://irep.iium.edu.my/58416/; http://toc.proceedings.com/24275webtoc.pdf

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...