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Analyzing EEG based Neurological Phenomenon in BCI Systems

by Mandeep Kaur, P. Ahmed, M. Qasim Rafiq
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 57 - Number 17
Year of Publication: 2012
Authors: Mandeep Kaur, P. Ahmed, M. Qasim Rafiq
10.5120/9209-3755

Mandeep Kaur, P. Ahmed, M. Qasim Rafiq . Analyzing EEG based Neurological Phenomenon in BCI Systems. International Journal of Computer Applications. 57, 17 ( November 2012), 40-49. DOI=10.5120/9209-3755

@article{ 10.5120/9209-3755,
author = { Mandeep Kaur, P. Ahmed, M. Qasim Rafiq },
title = { Analyzing EEG based Neurological Phenomenon in BCI Systems },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 57 },
number = { 17 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 40-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume57/number17/9209-3755/ },
doi = { 10.5120/9209-3755 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:00:45.102799+05:30
%A Mandeep Kaur
%A P. Ahmed
%A M. Qasim Rafiq
%T Analyzing EEG based Neurological Phenomenon in BCI Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 57
%N 17
%P 40-49
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The paper presents a comprehensive survey on International system for EEG (Electroencephalography) signal acquisition. The paper also explored various neuro-imaging techniques and EEG based neurological phenomenon applied for the development of BCI systems extremely useful for able bodied and disabled people. From the survey it is concluded that P300 signal are the most appropriate signal for classifying brain activity using EEG imaging technique.

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Index Terms

Computer Science
Information Sciences

Keywords

EEG (Electro-Encephalogram) Interface Brain-Computer Interface neurological phenomena P300 brain imaging techniques

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