Independent component analysis of saccade-related electroencephalogram waveforms

A methodology based on the signal separation technique of extended independent component analysis (ICA) is devised to analyse saccaderelated electroencephalogram (EEG) waveforms. The methodology enables saccade-related components to be successfully extracted from the EEG mixtures and the brain regio...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Electronics letters 2000-06, Vol.36 (12), p.1-1
Hauptverfasser: Vigon, L, Saatchi, R, Mayhew, J, Taroyan, N, Frisby, J, Johnston, D, Pascalis, O
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1
container_issue 12
container_start_page 1
container_title Electronics letters
container_volume 36
creator Vigon, L
Saatchi, R
Mayhew, J
Taroyan, N
Frisby, J
Johnston, D
Pascalis, O
description A methodology based on the signal separation technique of extended independent component analysis (ICA) is devised to analyse saccaderelated electroencephalogram (EEG) waveforms. The methodology enables saccade-related components to be successfully extracted from the EEG mixtures and the brain regions responsible for their generation to be identified.
format Article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_1642314042</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3484330511</sourcerecordid><originalsourceid>FETCH-LOGICAL-p612-5e928b7d5bb4e0ce4f7008ae6b4f11a2f2aaf87567559685f7d9a0c900b0e0cb0</originalsourceid><addsrcrecordid>eNpdj0tLxDAUhYMoOI7-h4IbN4GbNGmSpQw-BgZ0MQt3w216ozOkTW1axX9vB2fl5jzg48A5YwtRauBOiLdztgAQJdfCqUt2lfNhrtI5s2Cv666hnmbpxsKntk_dMWGH8Sfvc5FCkdF7bIgPFHGkpqBIfhwSdZ76D4zpfcC2-MYvCmlo8zW7CBgz3Zx8ybaPD9vVM9-8PK1X9xveV0JyTU7a2jS6rhWBJxUMgEWqahWEQBkkYrBGV0ZrV1kdTOMQvAOoYeZrWLK7v9l-SJ8T5XHX7rOnGLGjNOWdqJQshQIlZ_T2H3pI0zAfPFISrHIgLfwCTJ1bDg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1620849028</pqid></control><display><type>article</type><title>Independent component analysis of saccade-related electroencephalogram waveforms</title><source>ProQuest Central</source><creator>Vigon, L ; Saatchi, R ; Mayhew, J ; Taroyan, N ; Frisby, J ; Johnston, D ; Pascalis, O</creator><creatorcontrib>Vigon, L ; Saatchi, R ; Mayhew, J ; Taroyan, N ; Frisby, J ; Johnston, D ; Pascalis, O</creatorcontrib><description>A methodology based on the signal separation technique of extended independent component analysis (ICA) is devised to analyse saccaderelated electroencephalogram (EEG) waveforms. The methodology enables saccade-related components to be successfully extracted from the EEG mixtures and the brain regions responsible for their generation to be identified.</description><identifier>ISSN: 0013-5194</identifier><identifier>EISSN: 1350-911X</identifier><identifier>CODEN: ELLEAK</identifier><language>eng</language><publisher>Stevenage: John Wiley &amp; Sons, Inc</publisher><subject>Brain ; Electroencephalography ; Independent component analysis ; Methodology ; Separation ; Waveforms</subject><ispartof>Electronics letters, 2000-06, Vol.36 (12), p.1-1</ispartof><rights>Copyright The Institution of Engineering &amp; Technology Jun 8, 2000</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>776</link.rule.ids></links><search><creatorcontrib>Vigon, L</creatorcontrib><creatorcontrib>Saatchi, R</creatorcontrib><creatorcontrib>Mayhew, J</creatorcontrib><creatorcontrib>Taroyan, N</creatorcontrib><creatorcontrib>Frisby, J</creatorcontrib><creatorcontrib>Johnston, D</creatorcontrib><creatorcontrib>Pascalis, O</creatorcontrib><title>Independent component analysis of saccade-related electroencephalogram waveforms</title><title>Electronics letters</title><description>A methodology based on the signal separation technique of extended independent component analysis (ICA) is devised to analyse saccaderelated electroencephalogram (EEG) waveforms. The methodology enables saccade-related components to be successfully extracted from the EEG mixtures and the brain regions responsible for their generation to be identified.</description><subject>Brain</subject><subject>Electroencephalography</subject><subject>Independent component analysis</subject><subject>Methodology</subject><subject>Separation</subject><subject>Waveforms</subject><issn>0013-5194</issn><issn>1350-911X</issn><fulltext>false</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpdj0tLxDAUhYMoOI7-h4IbN4GbNGmSpQw-BgZ0MQt3w216ozOkTW1axX9vB2fl5jzg48A5YwtRauBOiLdztgAQJdfCqUt2lfNhrtI5s2Cv666hnmbpxsKntk_dMWGH8Sfvc5FCkdF7bIgPFHGkpqBIfhwSdZ76D4zpfcC2-MYvCmlo8zW7CBgz3Zx8ybaPD9vVM9-8PK1X9xveV0JyTU7a2jS6rhWBJxUMgEWqahWEQBkkYrBGV0ZrV1kdTOMQvAOoYeZrWLK7v9l-SJ8T5XHX7rOnGLGjNOWdqJQshQIlZ_T2H3pI0zAfPFISrHIgLfwCTJ1bDg</recordid><startdate>20000608</startdate><enddate>20000608</enddate><creator>Vigon, L</creator><creator>Saatchi, R</creator><creator>Mayhew, J</creator><creator>Taroyan, N</creator><creator>Frisby, J</creator><creator>Johnston, D</creator><creator>Pascalis, O</creator><general>John Wiley &amp; Sons, Inc</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>7SP</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>L7M</scope></search><sort><creationdate>20000608</creationdate><title>Independent component analysis of saccade-related electroencephalogram waveforms</title><author>Vigon, L ; Saatchi, R ; Mayhew, J ; Taroyan, N ; Frisby, J ; Johnston, D ; Pascalis, O</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p612-5e928b7d5bb4e0ce4f7008ae6b4f11a2f2aaf87567559685f7d9a0c900b0e0cb0</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Brain</topic><topic>Electroencephalography</topic><topic>Independent component analysis</topic><topic>Methodology</topic><topic>Separation</topic><topic>Waveforms</topic><toplevel>peer_reviewed</toplevel><creatorcontrib>Vigon, L</creatorcontrib><creatorcontrib>Saatchi, R</creatorcontrib><creatorcontrib>Mayhew, J</creatorcontrib><creatorcontrib>Taroyan, N</creatorcontrib><creatorcontrib>Frisby, J</creatorcontrib><creatorcontrib>Johnston, D</creatorcontrib><creatorcontrib>Pascalis, O</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Electronics letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>no_fulltext</fulltext></delivery><addata><au>Vigon, L</au><au>Saatchi, R</au><au>Mayhew, J</au><au>Taroyan, N</au><au>Frisby, J</au><au>Johnston, D</au><au>Pascalis, O</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Independent component analysis of saccade-related electroencephalogram waveforms</atitle><jtitle>Electronics letters</jtitle><date>2000-06-08</date><risdate>2000</risdate><volume>36</volume><issue>12</issue><spage>1</spage><epage>1</epage><pages>1-1</pages><issn>0013-5194</issn><eissn>1350-911X</eissn><coden>ELLEAK</coden><abstract>A methodology based on the signal separation technique of extended independent component analysis (ICA) is devised to analyse saccaderelated electroencephalogram (EEG) waveforms. The methodology enables saccade-related components to be successfully extracted from the EEG mixtures and the brain regions responsible for their generation to be identified.</abstract><cop>Stevenage</cop><pub>John Wiley &amp; Sons, Inc</pub><tpages>1</tpages></addata></record>
fulltext no_fulltext
identifier ISSN: 0013-5194
ispartof Electronics letters, 2000-06, Vol.36 (12), p.1-1
issn 0013-5194
1350-911X
language eng
recordid cdi_proquest_miscellaneous_1642314042
source ProQuest Central
subjects Brain
Electroencephalography
Independent component analysis
Methodology
Separation
Waveforms
title Independent component analysis of saccade-related electroencephalogram waveforms
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T15%3A27%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Independent%20component%20analysis%20of%20saccade-related%20electroencephalogram%20waveforms&rft.jtitle=Electronics%20letters&rft.au=Vigon,%20L&rft.date=2000-06-08&rft.volume=36&rft.issue=12&rft.spage=1&rft.epage=1&rft.pages=1-1&rft.issn=0013-5194&rft.eissn=1350-911X&rft.coden=ELLEAK&rft_id=info:doi/&rft_dat=%3Cproquest%3E3484330511%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1620849028&rft_id=info:pmid/&rfr_iscdi=true