UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 10
October-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRDQ06073


Registration ID:
229780

Page Number

507-514

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Title

Correlation between Brain Rhythms in Eye open - Closed state based on Power Spectral Density

Abstract

The spectral estimation method was used to analyze the electroencephalogram (EEG) signals in eye open and eye closed state. From the graphical representation of delta, theta, alpha, and beta average power spectrum, these two states can be clearly discriminated. In these two states, frontal areas were activated in alpha, delta and theta components whereas occipital areas were activated in alpha and delta bands. Except beta, all these bands had significantly higher power in frontal and occipital areas when eyes were open. After removing the motion artifacts, the results also implied that the average power spectral density of all the EEG components being varied.

Key Words

Biopac, Data Acquisition, EEG, Power Spectral Density

Cite This Article

"Correlation between Brain Rhythms in Eye open - Closed state based on Power Spectral Density", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.507-514, October 2018, Available :http://www.jetir.org/papers/JETIRDQ06073.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Correlation between Brain Rhythms in Eye open - Closed state based on Power Spectral Density", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp507-514, October 2018, Available at : http://www.jetir.org/papers/JETIRDQ06073.pdf

Publication Details

Published Paper ID: JETIRDQ06073
Registration ID: 229780
Published In: Volume 5 | Issue 10 | Year October-2018
DOI (Digital Object Identifier):
Page No: 507-514
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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