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...
Saved in:
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: | |
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Separation of the EEG signal using improved fastica based on kurtosis
by: Ahmad, Tahir
Published: (2011) -
Early identification of dyslexic preschoolers based on europhysiological signals
by: Karim, Izzah, et al.
Published: (2013) -
Detection of migraine in eeg signal by spectrum representations
by: Abdul Rahim, Sa'erah
Published: (2002) -
Artifact processing of Epileptic EEG Signals:
an overview of different types artifacts
by: Hamal, Abdul Qayoom, et al.
Published: (2013) -
Robust classification of motor imagery EEG signals using statistical time–domain features
by: Khorshidtalab, Aida, et al.
Published: (2013)