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Reseach Article

A Hybrid Approach for Artifacts Removal from EEG Recordings

by Alaa Eldeen M. Helal, Ahmed Farag Seddik, Ayat Allah F. Hussein
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 168 - Number 4
Year of Publication: 2017
Authors: Alaa Eldeen M. Helal, Ahmed Farag Seddik, Ayat Allah F. Hussein

Alaa Eldeen M. Helal, Ahmed Farag Seddik, Ayat Allah F. Hussein . A Hybrid Approach for Artifacts Removal from EEG Recordings. International Journal of Computer Applications. 168, 4 ( Jun 2017), 10-19. DOI=10.5120/ijca2017914301

@article{ 10.5120/ijca2017914301,
author = { Alaa Eldeen M. Helal, Ahmed Farag Seddik, Ayat Allah F. Hussein },
title = { A Hybrid Approach for Artifacts Removal from EEG Recordings },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2017 },
volume = { 168 },
number = { 4 },
month = { Jun },
year = { 2017 },
issn = { 0975-8887 },
pages = { 10-19 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2017914301 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T00:15:13.029209+05:30
%A Alaa Eldeen M. Helal
%A Ahmed Farag Seddik
%A Ayat Allah F. Hussein
%T A Hybrid Approach for Artifacts Removal from EEG Recordings
%J International Journal of Computer Applications
%@ 0975-8887
%V 168
%N 4
%P 10-19
%D 2017
%I Foundation of Computer Science (FCS), NY, USA

The electroencephalogram (EEG) is a widely used traditional procedure for diagnosing, monitoring and managing neurological disorders. Many artifact types that often contaminate EEG remain a key challenge for precise diagnosis of brain dysfunctions and neurological disorders. Hence, artifact removal is intuitively required for accurate EEG analysis and treatment. This paper presents a new extensive method that can remove a wide variety of EEG artifacts based mainly on Template Matching approach including multiple signal-processing tools. The method was evaluated and validated on real EEG data, giving promising results that offer better capabilities to neurophysiologists in routine EEG examinations and diagnosis.

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Index Terms

Computer Science
Information Sciences


Electroencephalogram (EEG) artifacts removal independent component analysis wavelet cosine similarity measure