Integrating the spatial profile of the N200 speller for asynchronous brain-computer interfaces

The N200 speller is a novel brain-computer interface (BCI) paradigm utilizing the overt attention effects on motion onset visual evoked potentials (mVEP). However, the asynchronous performance of the N200 BCI has not been fully explored. In this paper, a novel algorithm was proposed, integrating the...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhang, Dan, Xu, Honglai, Wu, Wei, Gao, Shangkai, Hong, Bo
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Brain computer interfaces
Classification algorithms
Electroencephalography
Support vector machines
Training
Visualization
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 4567
container_issue
container_start_page 4564
container_title
container_volume 2011
creator Zhang, Dan
Xu, Honglai
Wu, Wei
Gao, Shangkai
Hong, Bo
description The N200 speller is a novel brain-computer interface (BCI) paradigm utilizing the overt attention effects on motion onset visual evoked potentials (mVEP). However, the asynchronous performance of the N200 BCI has not been fully explored. In this paper, a novel algorithm was proposed, integrating the spatial profile of the visual speller to provide a more precise description of the mVEP responses. Most importantly, only control state data were used in the algorithm to train a classifier which can detect the non-control state effectively. Using offline recorded data, the asynchronous performance of the proposed algorithm was shown to be significantly better than that of a similar algorithm without using the spatial information. The proposed algorithm can be used for developing a practical, asynchronous N200 BCI system.
doi_str_mv 10.1109/IEMBS.2011.6091130
format conference_proceeding
fullrecord <record><control><sourceid>proquest_6IE</sourceid><recordid>TN_cdi_ieee_primary_6091130</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6091130</ieee_id><sourcerecordid>916854377</sourcerecordid><originalsourceid>FETCH-LOGICAL-i300t-9600f819c0d6c7d9ff0a9a6fa7e0bb0eaf04568f301ae4000f6cef9537ee5e73</originalsourceid><addsrcrecordid>eNo1kE1PwkAQhtevKCJ_QC-9eSrO7Fe7RyWoJKgHOXiyWcos1JQWd8uBf-8qOJeZzPPmzTvD2DXCEBHM3WT88vA-5IA41GAQBRyxS5RcSomc62PWQ6XyVGpUJ2xgsvyfIZ5GBkamOs8-LtgghC-IpbURgp-zC865UkKJHvucNB0tve2qZpl0K0rCJs62Tja-dVVNSev-1q8cIDKqa_KJa31iw64pV75t2m1I5t5WTVq26822i7yKnt7ZksIVO3O2DjQ49D6bPY5no-d0-vY0Gd1P00oAdKnRAC5HU8JCl9nCOAfWWO1sRjCfA1kHUuncCUBLMl7idEnOKJERKcpEn93ubWPq7y2FrlhXoYxhbUMxX2FQ50qK7Fd5s1dWRFRsfLW2flcc3it-ABf1aRc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype><pqid>916854377</pqid></control><display><type>conference_proceeding</type><title>Integrating the spatial profile of the N200 speller for asynchronous brain-computer interfaces</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Zhang, Dan ; Xu, Honglai ; Wu, Wei ; Gao, Shangkai ; Hong, Bo</creator><creatorcontrib>Zhang, Dan ; Xu, Honglai ; Wu, Wei ; Gao, Shangkai ; Hong, Bo</creatorcontrib><description>The N200 speller is a novel brain-computer interface (BCI) paradigm utilizing the overt attention effects on motion onset visual evoked potentials (mVEP). However, the asynchronous performance of the N200 BCI has not been fully explored. In this paper, a novel algorithm was proposed, integrating the spatial profile of the visual speller to provide a more precise description of the mVEP responses. Most importantly, only control state data were used in the algorithm to train a classifier which can detect the non-control state effectively. Using offline recorded data, the asynchronous performance of the proposed algorithm was shown to be significantly better than that of a similar algorithm without using the spatial information. The proposed algorithm can be used for developing a practical, asynchronous N200 BCI system.</description><identifier>ISSN: 1094-687X</identifier><identifier>ISBN: 9781424441211</identifier><identifier>ISBN: 1424441218</identifier><identifier>EISSN: 1558-4615</identifier><identifier>EISSN: 2694-0604</identifier><identifier>EISBN: 1424441226</identifier><identifier>EISBN: 1457715899</identifier><identifier>EISBN: 9781457715891</identifier><identifier>EISBN: 9781424441228</identifier><identifier>DOI: 10.1109/IEMBS.2011.6091130</identifier><identifier>PMID: 22255353</identifier><language>eng</language><publisher>IEEE</publisher><subject>Accuracy ; Brain computer interfaces ; Classification algorithms ; Electroencephalography ; Support vector machines ; Training ; Visualization</subject><ispartof>2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011, Vol.2011, p.4564-4567</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/6091130$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,314,780,784,789,790,2056,27923,27924,54919</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6091130$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zhang, Dan</creatorcontrib><creatorcontrib>Xu, Honglai</creatorcontrib><creatorcontrib>Wu, Wei</creatorcontrib><creatorcontrib>Gao, Shangkai</creatorcontrib><creatorcontrib>Hong, Bo</creatorcontrib><title>Integrating the spatial profile of the N200 speller for asynchronous brain-computer interfaces</title><title>2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society</title><addtitle>IEMBS</addtitle><description>The N200 speller is a novel brain-computer interface (BCI) paradigm utilizing the overt attention effects on motion onset visual evoked potentials (mVEP). However, the asynchronous performance of the N200 BCI has not been fully explored. In this paper, a novel algorithm was proposed, integrating the spatial profile of the visual speller to provide a more precise description of the mVEP responses. Most importantly, only control state data were used in the algorithm to train a classifier which can detect the non-control state effectively. Using offline recorded data, the asynchronous performance of the proposed algorithm was shown to be significantly better than that of a similar algorithm without using the spatial information. The proposed algorithm can be used for developing a practical, asynchronous N200 BCI system.</description><subject>Accuracy</subject><subject>Brain computer interfaces</subject><subject>Classification algorithms</subject><subject>Electroencephalography</subject><subject>Support vector machines</subject><subject>Training</subject><subject>Visualization</subject><issn>1094-687X</issn><issn>1558-4615</issn><issn>2694-0604</issn><isbn>9781424441211</isbn><isbn>1424441218</isbn><isbn>1424441226</isbn><isbn>1457715899</isbn><isbn>9781457715891</isbn><isbn>9781424441228</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1kE1PwkAQhtevKCJ_QC-9eSrO7Fe7RyWoJKgHOXiyWcos1JQWd8uBf-8qOJeZzPPmzTvD2DXCEBHM3WT88vA-5IA41GAQBRyxS5RcSomc62PWQ6XyVGpUJ2xgsvyfIZ5GBkamOs8-LtgghC-IpbURgp-zC865UkKJHvucNB0tve2qZpl0K0rCJs62Tja-dVVNSev-1q8cIDKqa_KJa31iw64pV75t2m1I5t5WTVq26822i7yKnt7ZksIVO3O2DjQ49D6bPY5no-d0-vY0Gd1P00oAdKnRAC5HU8JCl9nCOAfWWO1sRjCfA1kHUuncCUBLMl7idEnOKJERKcpEn93ubWPq7y2FrlhXoYxhbUMxX2FQ50qK7Fd5s1dWRFRsfLW2flcc3it-ABf1aRc</recordid><startdate>20110101</startdate><enddate>20110101</enddate><creator>Zhang, Dan</creator><creator>Xu, Honglai</creator><creator>Wu, Wei</creator><creator>Gao, Shangkai</creator><creator>Hong, Bo</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>7X8</scope></search><sort><creationdate>20110101</creationdate><title>Integrating the spatial profile of the N200 speller for asynchronous brain-computer interfaces</title><author>Zhang, Dan ; Xu, Honglai ; Wu, Wei ; Gao, Shangkai ; Hong, Bo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i300t-9600f819c0d6c7d9ff0a9a6fa7e0bb0eaf04568f301ae4000f6cef9537ee5e73</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Accuracy</topic><topic>Brain computer interfaces</topic><topic>Classification algorithms</topic><topic>Electroencephalography</topic><topic>Support vector machines</topic><topic>Training</topic><topic>Visualization</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Dan</creatorcontrib><creatorcontrib>Xu, Honglai</creatorcontrib><creatorcontrib>Wu, Wei</creatorcontrib><creatorcontrib>Gao, Shangkai</creatorcontrib><creatorcontrib>Hong, Bo</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection><collection>MEDLINE - Academic</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhang, Dan</au><au>Xu, Honglai</au><au>Wu, Wei</au><au>Gao, Shangkai</au><au>Hong, Bo</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Integrating the spatial profile of the N200 speller for asynchronous brain-computer interfaces</atitle><btitle>2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society</btitle><stitle>IEMBS</stitle><date>2011-01-01</date><risdate>2011</risdate><volume>2011</volume><spage>4564</spage><epage>4567</epage><pages>4564-4567</pages><issn>1094-687X</issn><eissn>1558-4615</eissn><eissn>2694-0604</eissn><isbn>9781424441211</isbn><isbn>1424441218</isbn><eisbn>1424441226</eisbn><eisbn>1457715899</eisbn><eisbn>9781457715891</eisbn><eisbn>9781424441228</eisbn><abstract>The N200 speller is a novel brain-computer interface (BCI) paradigm utilizing the overt attention effects on motion onset visual evoked potentials (mVEP). However, the asynchronous performance of the N200 BCI has not been fully explored. In this paper, a novel algorithm was proposed, integrating the spatial profile of the visual speller to provide a more precise description of the mVEP responses. Most importantly, only control state data were used in the algorithm to train a classifier which can detect the non-control state effectively. Using offline recorded data, the asynchronous performance of the proposed algorithm was shown to be significantly better than that of a similar algorithm without using the spatial information. The proposed algorithm can be used for developing a practical, asynchronous N200 BCI system.</abstract><pub>IEEE</pub><pmid>22255353</pmid><doi>10.1109/IEMBS.2011.6091130</doi><tpages>4</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1094-687X
ispartof 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011, Vol.2011, p.4564-4567
issn 1094-687X
1558-4615
2694-0604
language eng
recordid cdi_ieee_primary_6091130
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Accuracy
Brain computer interfaces
Classification algorithms
Electroencephalography
Support vector machines
Training
Visualization
title Integrating the spatial profile of the N200 speller for asynchronous brain-computer interfaces
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T02%3A12%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Integrating%20the%20spatial%20profile%20of%20the%20N200%20speller%20for%20asynchronous%20brain-computer%20interfaces&rft.btitle=2011%20Annual%20International%20Conference%20of%20the%20IEEE%20Engineering%20in%20Medicine%20and%20Biology%20Society&rft.au=Zhang,%20Dan&rft.date=2011-01-01&rft.volume=2011&rft.spage=4564&rft.epage=4567&rft.pages=4564-4567&rft.issn=1094-687X&rft.eissn=1558-4615&rft.isbn=9781424441211&rft.isbn_list=1424441218&rft_id=info:doi/10.1109/IEMBS.2011.6091130&rft.eisbn=1424441226&rft.eisbn_list=1457715899&rft.eisbn_list=9781457715891&rft.eisbn_list=9781424441228&rft_dat=%3Cproquest_6IE%3E916854377%3C/proquest_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i300t-9600f819c0d6c7d9ff0a9a6fa7e0bb0eaf04568f301ae4000f6cef9537ee5e73%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=916854377&rft_id=info:pmid/22255353&rft_ieee_id=6091130&rfr_iscdi=true