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...
Published in: | Proceedings - 2014 5th IEEE Control and System Graduate Research Colloquium, ICSGRC 2014 |
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Format: | Conference paper |
Language: | English |
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Institute of Electrical and Electronics Engineers Inc.
2014
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908616229&doi=10.1109%2fICSGRC.2014.6908726&partnerID=40&md5=2983e0b76dc5d32d73703c2a35036af9 |
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Ali M.S.A.M.; Taib M.N.; Tahir N.M.; Jahidin A.H. |
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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 |
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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. |
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Institute of Electrical and Electronics Engineers Inc. |
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English |
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Conference paper |
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scopus |
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Scopus |
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1828987882668294144 |