EEG spectral centroid amplitude and band power features: A correlation analysis

The paper elaborates on the correlation analysis between the proposed EEG sub-band spectral centroid amplitude with the established band power features. The study involves recording of resting EEG from 40 healthy university students. Initially, the EEG is pre-processed for noise removal and filtered...

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Published in:Proceedings - 2014 5th IEEE Control and System Graduate Research Colloquium, ICSGRC 2014
Main Author: 2-s2.0-84908616229
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908616229&doi=10.1109%2fICSGRC.2014.6908726&partnerID=40&md5=2983e0b76dc5d32d73703c2a35036af9
id Ali M.S.A.M.; Taib M.N.; Tahir N.M.; Jahidin A.H.
spelling Ali M.S.A.M.; Taib M.N.; Tahir N.M.; Jahidin A.H.
2-s2.0-84908616229
EEG spectral centroid amplitude and band power features: A correlation analysis
2014
Proceedings - 2014 5th IEEE Control and System Graduate Research Colloquium, ICSGRC 2014


10.1109/ICSGRC.2014.6908726
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908616229&doi=10.1109%2fICSGRC.2014.6908726&partnerID=40&md5=2983e0b76dc5d32d73703c2a35036af9
The paper elaborates on the correlation analysis between the proposed EEG sub-band spectral centroid amplitude with the established band power features. The study involves recording of resting EEG from 40 healthy university students. Initially, the EEG is pre-processed for noise removal and filtered into delta, theta, alpha and beta waves using band-pass filters. Next, the sub-band power spectral densities are estimated via Welch method. Subsequently, spectral centroid amplitude and band power features are then computed from the power spectral density of the respective sub-bands. Correlation analysis between the two features is performed for each scalp location to ascertain its relationship. Findings have revealed that the EEG sub-band spectral centroid amplitude is highly correlated with the band power features for all scalp locations. © 2014 IEEE.
Institute of Electrical and Electronics Engineers Inc.

English
Conference paper

author 2-s2.0-84908616229
spellingShingle 2-s2.0-84908616229
EEG spectral centroid amplitude and band power features: A correlation analysis
author_facet 2-s2.0-84908616229
author_sort 2-s2.0-84908616229
title EEG spectral centroid amplitude and band power features: A correlation analysis
title_short EEG spectral centroid amplitude and band power features: A correlation analysis
title_full EEG spectral centroid amplitude and band power features: A correlation analysis
title_fullStr EEG spectral centroid amplitude and band power features: A correlation analysis
title_full_unstemmed EEG spectral centroid amplitude and band power features: A correlation analysis
title_sort EEG spectral centroid amplitude and band power features: A correlation analysis
publishDate 2014
container_title Proceedings - 2014 5th IEEE Control and System Graduate Research Colloquium, ICSGRC 2014
container_volume
container_issue
doi_str_mv 10.1109/ICSGRC.2014.6908726
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908616229&doi=10.1109%2fICSGRC.2014.6908726&partnerID=40&md5=2983e0b76dc5d32d73703c2a35036af9
description The paper elaborates on the correlation analysis between the proposed EEG sub-band spectral centroid amplitude with the established band power features. The study involves recording of resting EEG from 40 healthy university students. Initially, the EEG is pre-processed for noise removal and filtered into delta, theta, alpha and beta waves using band-pass filters. Next, the sub-band power spectral densities are estimated via Welch method. Subsequently, spectral centroid amplitude and band power features are then computed from the power spectral density of the respective sub-bands. Correlation analysis between the two features is performed for each scalp location to ascertain its relationship. Findings have revealed that the EEG sub-band spectral centroid amplitude is highly correlated with the band power features for all scalp locations. © 2014 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
format Conference paper
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record_format scopus
collection Scopus
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