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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">On-line identification of the end of motor imageries based on the alpha rebound detection</title><author><name sortKey="Lindig Le N, Cecilia" sort="Lindig Le N, Cecilia" uniqKey="Lindig Le N C" first="Cecilia" last="Lindig-Le N">Cecilia Lindig-Le N</name><affiliation><nlm:aff id="I1">Inria, Villers- lès -Nancy, F-54600, France</nlm:aff></affiliation><affiliation><nlm:aff id="I2">Université de Lorraine, LORIA, UMR 7503, Vandœuvre-lès-Nancy, F-54500, France</nlm:aff></affiliation><affiliation><nlm:aff id="I3">CNRS, LORIA, UMR 7503, Vandœuvre-lès-Nancy, F-54500, France</nlm:aff></affiliation></author><author><name sortKey="Bougrain, Laurent" sort="Bougrain, Laurent" uniqKey="Bougrain L" first="Laurent" last="Bougrain">Laurent Bougrain</name><affiliation><nlm:aff id="I1">Inria, Villers- lès -Nancy, F-54600, France</nlm:aff></affiliation><affiliation><nlm:aff id="I2">Université de Lorraine, LORIA, UMR 7503, Vandœuvre-lès-Nancy, F-54500, France</nlm:aff></affiliation><affiliation><nlm:aff id="I3">CNRS, LORIA, UMR 7503, Vandœuvre-lès-Nancy, F-54500, France</nlm:aff></affiliation></author><author><name sortKey="Rimbert, Sebastien" sort="Rimbert, Sebastien" uniqKey="Rimbert S" first="Sébastien" last="Rimbert">Sébastien Rimbert</name><affiliation><nlm:aff id="I1">Inria, Villers- lès -Nancy, F-54600, France</nlm:aff></affiliation><affiliation><nlm:aff id="I2">Université de Lorraine, LORIA, UMR 7503, Vandœuvre-lès-Nancy, F-54500, France</nlm:aff></affiliation><affiliation><nlm:aff id="I3">CNRS, LORIA, UMR 7503, Vandœuvre-lès-Nancy, F-54500, France</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmc">4699158</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4699158</idno><idno type="RBID">PMC:4699158</idno><idno type="doi">10.1186/1471-2202-16-S1-P207</idno><idno type="pmid">NONE</idno><date when="2015">2015</date><idno type="wicri:Area/Pmc/Corpus">000033</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000033</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">On-line identification of the end of motor imageries based on the alpha rebound detection</title><author><name sortKey="Lindig Le N, Cecilia" sort="Lindig Le N, Cecilia" uniqKey="Lindig Le N C" first="Cecilia" last="Lindig-Le N">Cecilia Lindig-Le N</name><affiliation><nlm:aff id="I1">Inria, Villers- lès -Nancy, F-54600, France</nlm:aff></affiliation><affiliation><nlm:aff id="I2">Université de Lorraine, LORIA, UMR 7503, Vandœuvre-lès-Nancy, F-54500, France</nlm:aff></affiliation><affiliation><nlm:aff id="I3">CNRS, LORIA, UMR 7503, Vandœuvre-lès-Nancy, F-54500, France</nlm:aff></affiliation></author><author><name sortKey="Bougrain, Laurent" sort="Bougrain, Laurent" uniqKey="Bougrain L" first="Laurent" last="Bougrain">Laurent Bougrain</name><affiliation><nlm:aff id="I1">Inria, Villers- lès -Nancy, F-54600, France</nlm:aff></affiliation><affiliation><nlm:aff id="I2">Université de Lorraine, LORIA, UMR 7503, Vandœuvre-lès-Nancy, F-54500, France</nlm:aff></affiliation><affiliation><nlm:aff id="I3">CNRS, LORIA, UMR 7503, Vandœuvre-lès-Nancy, F-54500, France</nlm:aff></affiliation></author><author><name sortKey="Rimbert, Sebastien" sort="Rimbert, Sebastien" uniqKey="Rimbert S" first="Sébastien" last="Rimbert">Sébastien Rimbert</name><affiliation><nlm:aff id="I1">Inria, Villers- lès -Nancy, F-54600, France</nlm:aff></affiliation><affiliation><nlm:aff id="I2">Université de Lorraine, LORIA, UMR 7503, Vandœuvre-lès-Nancy, F-54500, France</nlm:aff></affiliation><affiliation><nlm:aff id="I3">CNRS, LORIA, UMR 7503, Vandœuvre-lès-Nancy, F-54500, France</nlm:aff></affiliation></author></analytic><series><title level="j">BMC Neuroscience</title><idno type="eISSN">1471-2202</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Avanzini, P" uniqKey="Avanzini P">P Avanzini</name></author><author><name sortKey="Fabbri Destro, M" uniqKey="Fabbri Destro M">M Fabbri-Destro</name></author><author><name sortKey="Dalla Volta, R" uniqKey="Dalla Volta R">R Dalla Volta</name></author><author><name sortKey="Daprati, E" uniqKey="Daprati E">E Daprati</name></author><author><name sortKey="Rizzolatti, G" uniqKey="Rizzolatti G">G Rizzolatti</name></author><author><name sortKey="Cantalupo, G" uniqKey="Cantalupo G">G Cantalupo</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Pfurtscheller, G" uniqKey="Pfurtscheller G">G Pfurtscheller</name></author><author><name sortKey="Stancak, A" uniqKey="Stancak A">A Stancák</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Lindig Le N, C" uniqKey="Lindig Le N C">C Lindig-León</name></author><author><name sortKey="Bougrain, L" uniqKey="Bougrain L">L Bougrain</name></author><author><name sortKey="Rimbert, S" uniqKey="Rimbert S">S Rimbert</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Tangermann, M" uniqKey="Tangermann M">M Tangermann</name></author><author><name sortKey="Muller, Kr" uniqKey="Muller K">KR Müller</name></author><author><name sortKey="Aertsen, A" uniqKey="Aertsen A">A Aertsen</name></author><author><name sortKey="Birbaumer, N" uniqKey="Birbaumer N">N Birbaumer</name></author><author><name sortKey="Braun, C" uniqKey="Braun C">C Braun</name></author><author><name sortKey="Brunner, C" uniqKey="Brunner C">C Brunner</name></author></analytic></biblStruct></listBibl></div1></back></TEI><pmc article-type="abstract" xml:lang="en"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">BMC Neurosci</journal-id><journal-id journal-id-type="iso-abbrev">BMC Neurosci</journal-id><journal-title-group><journal-title>BMC Neuroscience</journal-title></journal-title-group><issn pub-type="epub">1471-2202</issn><publisher><publisher-name>BioMed Central</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmc">4699158</article-id><article-id pub-id-type="publisher-id">1471-2202-16-S1-P207</article-id><article-id pub-id-type="doi">10.1186/1471-2202-16-S1-P207</article-id><article-categories><subj-group subj-group-type="heading"><subject>Poster Presentation</subject></subj-group></article-categories><title-group><article-title>On-line identification of the end of motor imageries based on the alpha rebound detection</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes" id="A1"><name><surname>Lindig-León</surname><given-names>Cecilia</given-names></name><xref ref-type="aff" rid="I1">1</xref><xref ref-type="aff" rid="I2">2</xref><xref ref-type="aff" rid="I3">3</xref><email>cecilia.lindig-leon@inria.fr</email></contrib><contrib contrib-type="author" id="A2"><name><surname>Bougrain</surname><given-names>Laurent</given-names></name><xref ref-type="aff" rid="I1">1</xref><xref ref-type="aff" rid="I2">2</xref><xref ref-type="aff" rid="I3">3</xref></contrib><contrib contrib-type="author" id="A3"><name><surname>Rimbert</surname><given-names>Sébastien</given-names></name><xref ref-type="aff" rid="I1">1</xref><xref ref-type="aff" rid="I2">2</xref><xref ref-type="aff" rid="I3">3</xref></contrib></contrib-group><aff id="I1"><label>1</label>Inria, Villers- lès -Nancy, F-54600, France</aff><aff id="I2"><label>2</label>Université de Lorraine, LORIA, UMR 7503, Vandœuvre-lès-Nancy, F-54500, France</aff><aff id="I3"><label>3</label>CNRS, LORIA, UMR 7503, Vandœuvre-lès-Nancy, F-54500, France</aff><pub-date pub-type="collection"><year>2015</year></pub-date><pub-date pub-type="epub"><day>18</day><month>12</month><year>2015</year></pub-date><volume>16</volume><issue>Suppl 1</issue><supplement><named-content content-type="supplement-title">24th Annual Computational Neuroscience Meeting: CNS*2015</named-content><named-content content-type="supplement-editor">Gennady Cymbalyuk and Anthony Burkitt</named-content><named-content content-type="supplement-sponsor">The publication charges for this supplement were funded by the Organization for Computational Neurosciences. The Supplement Editors declare that they have no competing interests.</named-content></supplement><fpage>P207</fpage><lpage>P207</lpage><permissions><copyright-statement>Copyright © 2015 Lindig-León et al.</copyright-statement><copyright-year>2015</copyright-year><copyright-holder>Lindig-León et al.</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0"><license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0">http://creativecommons.org/licenses/by/4.0</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/">http://creativecommons.org/publicdomain/zero/1.0/</ext-link>) applies to the data made available in this article, unless otherwise stated.</license-p></license></permissions><self-uri xlink:href="http://www.biomedcentral.com/1471-2202/16/S1/P207"></self-uri><conference><conf-date>18-23 July 2015</conf-date><conf-name>24th Annual Computational Neuroscience Meeting: CNS*2015</conf-name><conf-loc>Prague, Czech Republic</conf-loc></conference></article-meta></front><body><sec><title></title><p>Limb movement execution and imagination elicit in a mutually exclusive manner sensorimotor rhythms that can be detected in electroencephalographic (EEG) recordings; in particular over the primary motor cortex, where an oscillatory modulation has been observed prior, during and following the execution of voluntary movement, passive movement, imagined movement, and even tactile stimulation [<xref ref-type="bibr" rid="B1">1</xref>,<xref ref-type="bibr" rid="B2">2</xref>]. The modulation following the movement termination consists of an event-related synchronization (ERS) that increases the oscillatory power for a few hundred milliseconds [<xref ref-type="bibr" rid="B3">3</xref>]. Since it is known to be specific of the beta band 13-25 Hz, it is denoted as post-movement beta rebound, although in recent studies it has been shown that this phenomenon is enhanced when analyzed in the alpha range 8-13 Hz (see Figure <xref ref-type="fig" rid="F1">1</xref>). [<xref ref-type="bibr" rid="B1">1</xref>,<xref ref-type="bibr" rid="B4">4</xref>].</p><fig id="F1" position="float"><label>Figure 1</label><caption><p><bold>Averaged post-movement rebound for subject 7 in electrode C4 across the A</bold>. alpha and B. beta bands. The yellow box indicates the duration of the motor imageries.</p></caption><graphic xlink:href="1471-2202-16-S1-P207-1"></graphic></fig><p>The characteristics of this post-movement rebound, as it will be shown in the present study, are preserved independently of the involved limb during the motor execution. From database 2a of the BCI competition IV [<xref ref-type="bibr" rid="B4">4</xref>], an on-line method for identifying the end of motor imageries on a single trial detection is presented. By using an overlapped sliding window over each trial from four different motor imageries (left hand, right hand, feet and tongue), two contrasting classes are generated according to the occurring condition (i.e., segments with rebound and segments without it) to generate a classification model based on a linear discriminant analysis. Results show that the classification performance is 5% superior over the alpha band than the beta band for almost all subjects, and that the rebound detection is independent from the limb used in the motor imagery.</p></sec><sec><title>Conclusions</title><p>On-line detection of the end of motor imageries of various body parts is feasible by detecting the post-movement alpha rebound. The accuracy reached by the proposed method within the alpha band across all subjects is 79.17% with a sensitivity value of 0.81 and specificity of 0.71. This method improves the detection of the end of motor imageries by considering the alpha post-movement rebound, which is of interest for the design of self-paced brain-computer interfaces.</p></sec></body><back><ref-list><ref id="B1"><mixed-citation publication-type="journal"><name><surname>Avanzini</surname><given-names>P</given-names></name><name><surname>Fabbri-Destro</surname><given-names>M</given-names></name><name><surname>Dalla Volta</surname><given-names>R</given-names></name><name><surname>Daprati</surname><given-names>E</given-names></name><name><surname>Rizzolatti</surname><given-names>G</given-names></name><name><surname>Cantalupo</surname><given-names>G</given-names></name><article-title>The dynamics of sensorimotor cortical oscillations during the observation of hand movements: an EEG study</article-title><source>PLoS One</source><year>2012</year><volume>7</volume><issue>5</issue><fpage>e37534</fpage><pub-id pub-id-type="pmid">22624046</pub-id></mixed-citation></ref><ref id="B2"><mixed-citation publication-type="journal"><name><surname>Pfurtscheller</surname><given-names>G</given-names></name><name><surname>Stancák</surname><given-names>A</given-names></name><article-title>Post-movement beta synchronization and desynchronization. A correlate of an idling motor area?</article-title><source>Electroencephalogr Clin Neurophysiol</source><year>1996</year><volume>98</volume><issue>4</issue><fpage>281</fpage><lpage>93</lpage><pub-id pub-id-type="pmid">8641150</pub-id></mixed-citation></ref><ref id="B3"><mixed-citation publication-type="other"><name><surname>Lindig-León</surname><given-names>C</given-names></name><name><surname>Bougrain</surname><given-names>L</given-names></name><name><surname>Rimbert</surname><given-names>S</given-names></name><article-title>Alpha rebound improves on-line detection of the end of motor imageries</article-title><source>International IEEE/EMBS Conference on Neural Engineering</source><year>2015</year><uri>https://hal.inria.fr/hal-01092284</uri></mixed-citation></ref><ref id="B4"><mixed-citation publication-type="journal"><name><surname>Tangermann</surname><given-names>M</given-names></name><name><surname>Müller</surname><given-names>KR</given-names></name><name><surname>Aertsen</surname><given-names>A</given-names></name><name><surname>Birbaumer</surname><given-names>N</given-names></name><name><surname>Braun</surname><given-names>C</given-names></name><name><surname>Brunner</surname><given-names>C</given-names></name><etal></etal><article-title>Review of the BCI competition iv</article-title><source>Front Neurosci</source><year>2012</year><volume>6</volume><fpage>55</fpage><pub-id pub-id-type="pmid">22811657</pub-id></mixed-citation></ref></ref-list></back></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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