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Reseach Article

Classification of Artefacts in EEG Signal Recordings and Overview of Removing Techniques

Published on September 2015 by Avinash Tandle, Nandini Jog
CAE Proceedings on International Conference on Communication Technology
Foundation of Computer Science USA
ICCT2015 - Number 7
September 2015
Authors: Avinash Tandle, Nandini Jog
1d6448a6-93be-41b6-944e-03a50ce09921

Avinash Tandle, Nandini Jog . Classification of Artefacts in EEG Signal Recordings and Overview of Removing Techniques. CAE Proceedings on International Conference on Communication Technology. ICCT2015, 7 (September 2015), 46-50.

@article{
author = { Avinash Tandle, Nandini Jog },
title = { Classification of Artefacts in EEG Signal Recordings and Overview of Removing Techniques },
journal = { CAE Proceedings on International Conference on Communication Technology },
issue_date = { September 2015 },
volume = { ICCT2015 },
number = { 7 },
month = { September },
year = { 2015 },
issn = 0975-8887,
pages = { 46-50 },
numpages = 5,
url = { /proceedings/icct2015/number7/22688-1595/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 CAE Proceedings on International Conference on Communication Technology
%A Avinash Tandle
%A Nandini Jog
%T Classification of Artefacts in EEG Signal Recordings and Overview of Removing Techniques
%J CAE Proceedings on International Conference on Communication Technology
%@ 0975-8887
%V ICCT2015
%N 7
%P 46-50
%D 2015
%I International Journal of Computer Applications
Abstract

EEG is a record of brain activity from various sites of the brain. Artefacts are unwanted noise signals in an EEG record. Classification of artefacts based on source of its generation like physiological artefacts and external artefacts. Body of the subjects are main source of Physiological artifacts, while external artefacts are from outside the body due to the environment or measuring devices. Recognition, identification and elimination of artifacts is an important process to minimize the chance of misinterpretation of EEG, not only for clinical and non-clinical fields such as brain computer interface, intelligent control system robotics etc. This paper classifies the artefacts from the database collected at Dr. R. N. Cooper Mun. General Hospital Mumbai India.

References
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Index Terms

Computer Science
Information Sciences

Keywords

EEG Artefact EOG EMG