Artifact processing of Epileptic EEG Signals: an overview of different types artifacts

Hamal, Abdul Qayoom and Abdul Rahman, Abdul Wahab (2013) Artifact processing of Epileptic EEG Signals: an overview of different types artifacts. In: 2nd International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013, 23-24 December, 2013, Kuching, Sarawak.

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Abstract

The electroencephalogram (EEG) signal contains a plethora of information regarding a human brain and thus plays a very important role when it comes to the diagnosis of various neurological disorders. The quantitative analysis of epileptic EEG can provide a neurologist additional and very important information related to epileptic seizures both in terms of identification and prediction. However, EEG data is always contaminated with different types of artifacts and as such any kind of analysis carried out on such raw data would lead to spurious results. Besides artifact identification and removal techniques, this system should include high quality recording of EEG and minimization of artifacts coming from different sources. Thus any effort towards actualization of an automatic analysis system for EEG in general and epileptic EEG in particular will require an efficient, reliable and robust artifact processing mechanism. The distinction between cerebral electrical activity and artifacts is crucial for actual interpretation and diagnosis. This paper presents various types of artifacts in the epileptic EEG and review of different methods used for identification and removal of these artifacts.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	6145/58171
Uncontrolled Keywords:	Epileptic EEG ;EEG artifacts ; Artifact detection ;Artifact removal.
Subjects:	C Auxiliary Sciences of History > CC Archaeology Q Science > QP Physiology
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Prof Abdul Wahab Abdul Rahman
Date Deposited:	24 Aug 2017 09:30
Last Modified:	06 May 2018 02:11
URI:	http://irep.iium.edu.my/id/eprint/58171

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