Using the correlation dimension for estimation of the complexity of visual evoked potential signal
The aim of this study is to detect nonlinear dynamic properties in evoked potential (EP) with correlation dimension (CD). We also want to identify if CD could be used as a discriminating statistic of spontaneous EEG and EP. The CD of EEG before and after stimulations are studied. The CD of EP in sin...
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creator | Dang Yanjun Lin Jiarui Yang Zhongle Shu Weiguang |
description | The aim of this study is to detect nonlinear dynamic properties in evoked potential (EP) with correlation dimension (CD). We also want to identify if CD could be used as a discriminating statistic of spontaneous EEG and EP. The CD of EEG before and after stimulations are studied. The CD of EP in single trial form and multitrials average form are also studied. Results from this study show that the correlation dimensions of evoked potential is lower than spontaneous EEG. EP signals have less complicated properties than spontaneous EEG. |
doi_str_mv | 10.1109/ICNIC.2005.1499853 |
format | Conference Proceeding |
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We also want to identify if CD could be used as a discriminating statistic of spontaneous EEG and EP. The CD of EEG before and after stimulations are studied. The CD of EP in single trial form and multitrials average form are also studied. Results from this study show that the correlation dimensions of evoked potential is lower than spontaneous EEG. EP signals have less complicated properties than spontaneous EEG.</description><identifier>ISBN: 9780780389021</identifier><identifier>ISBN: 0780389026</identifier><identifier>DOI: 10.1109/ICNIC.2005.1499853</identifier><language>eng</language><publisher>IEEE</publisher><subject>Diseases ; Educational institutions ; Electrodes ; Electroencephalography ; Low pass filters ; Magnetic analysis ; Nonlinear systems ; Scalp ; Signal resolution ; Sleep</subject><ispartof>Proceedings. 2005 First International Conference on Neural Interface and Control, 2005, 2005, p.104-107</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1499853$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1499853$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Dang Yanjun</creatorcontrib><creatorcontrib>Lin Jiarui</creatorcontrib><creatorcontrib>Yang Zhongle</creatorcontrib><creatorcontrib>Shu Weiguang</creatorcontrib><title>Using the correlation dimension for estimation of the complexity of visual evoked potential signal</title><title>Proceedings. 2005 First International Conference on Neural Interface and Control, 2005</title><addtitle>ICNIC</addtitle><description>The aim of this study is to detect nonlinear dynamic properties in evoked potential (EP) with correlation dimension (CD). 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EP signals have less complicated properties than spontaneous EEG.</description><subject>Diseases</subject><subject>Educational institutions</subject><subject>Electrodes</subject><subject>Electroencephalography</subject><subject>Low pass filters</subject><subject>Magnetic analysis</subject><subject>Nonlinear systems</subject><subject>Scalp</subject><subject>Signal resolution</subject><subject>Sleep</subject><isbn>9780780389021</isbn><isbn>0780389026</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotUNtKxDAUDIigrP0BfckPtObk0iSPUrwUFn1xn5e0Sddo25QmLu7f22U7HJhh5jAcDkL3QAoAoh_r6r2uCkqIKIBrrQS7QpmWiizDlCYUblAW4zdZwLSQnN2iZhf9eMDpy-E2zLPrTfJhxNYPboxn1YUZu5j8cAlCt-4OU-_-fDqdnaOPv6bH7hh-nMVTSG5MfjGiP4ymv0PXnemjy1beoN3L82f1lm8_XuvqaZt7kCLlHWeNbXnbNgpKUFILAkYrSS1oW1LGjWyMpdqAMooLBZIB7YzV1FqhVck26OHS651z-2leTp5P-_UT7B-co1WS</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Dang Yanjun</creator><creator>Lin Jiarui</creator><creator>Yang Zhongle</creator><creator>Shu Weiguang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2005</creationdate><title>Using the correlation dimension for estimation of the complexity of visual evoked potential signal</title><author>Dang Yanjun ; Lin Jiarui ; Yang Zhongle ; Shu Weiguang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-f43bdc4ccb8161879501a9872d19d6234a7bad29a18a845817312fad92dd59863</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Diseases</topic><topic>Educational institutions</topic><topic>Electrodes</topic><topic>Electroencephalography</topic><topic>Low pass filters</topic><topic>Magnetic analysis</topic><topic>Nonlinear systems</topic><topic>Scalp</topic><topic>Signal resolution</topic><topic>Sleep</topic><toplevel>online_resources</toplevel><creatorcontrib>Dang Yanjun</creatorcontrib><creatorcontrib>Lin Jiarui</creatorcontrib><creatorcontrib>Yang Zhongle</creatorcontrib><creatorcontrib>Shu Weiguang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Dang Yanjun</au><au>Lin Jiarui</au><au>Yang Zhongle</au><au>Shu Weiguang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Using the correlation dimension for estimation of the complexity of visual evoked potential signal</atitle><btitle>Proceedings. 2005 First International Conference on Neural Interface and Control, 2005</btitle><stitle>ICNIC</stitle><date>2005</date><risdate>2005</risdate><spage>104</spage><epage>107</epage><pages>104-107</pages><isbn>9780780389021</isbn><isbn>0780389026</isbn><abstract>The aim of this study is to detect nonlinear dynamic properties in evoked potential (EP) with correlation dimension (CD). We also want to identify if CD could be used as a discriminating statistic of spontaneous EEG and EP. The CD of EEG before and after stimulations are studied. The CD of EP in single trial form and multitrials average form are also studied. Results from this study show that the correlation dimensions of evoked potential is lower than spontaneous EEG. EP signals have less complicated properties than spontaneous EEG.</abstract><pub>IEEE</pub><doi>10.1109/ICNIC.2005.1499853</doi><tpages>4</tpages></addata></record> |
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subjects | Diseases Educational institutions Electrodes Electroencephalography Low pass filters Magnetic analysis Nonlinear systems Scalp Signal resolution Sleep |
title | Using the correlation dimension for estimation of the complexity of visual evoked potential signal |
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