<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Pei, Xiao-Mei</style></author><author><style face="normal" font="default" size="100%">Zheng, Shi Dong</style></author><author><style face="normal" font="default" size="100%">Wei-xing He</style></author><author><style face="normal" font="default" size="100%">Xu, Jin</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Quantitative measure of complexity of the dynamic event-related EEG data.</style></title><secondary-title><style face="normal" font="default" size="100%">Neurocomputing</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">complexity indexes Kc and FSE</style></keyword><keyword><style  face="normal" font="default" size="100%">ERD/ERS time course</style></keyword><keyword><style  face="normal" font="default" size="100%">event-related EEG</style></keyword><keyword><style  face="normal" font="default" size="100%">Hand motor imagery</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2006</style></year><pub-dates><date><style  face="normal" font="default" size="100%">12/2006</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.sciencedirect.com/science/article/pii/S0925231206001184</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">70</style></volume><pages><style face="normal" font="default" size="100%">263 - 272</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;span style=&quot;color: #2e2e2e; font-family: 'Arial Unicode MS', 'Arial Unicode', Arial, 'URW Gothic L', Helvetica, Tahoma, 'Cambria Math', sans-serif; font-size: 13px; line-height: 20px; text-align: justify; word-spacing: -1.010229468345642px;&quot;&gt;Currently, the quantification of event-related&amp;nbsp;&lt;/span&gt;&lt;a class=&quot;linkText&quot; style=&quot;color: #316c9d; text-decoration: none; border-width: 0px 0px 1px; border-bottom-color: #ba0000; font-size: 13px; margin: 0px; padding: 0px; vertical-align: baseline; font-family: 'Arial Unicode MS', 'Arial Unicode', Arial, 'URW Gothic L', Helvetica, Tahoma, 'Cambria Math', sans-serif; line-height: 20px; text-align: justify; word-spacing: -1.010229468345642px; cursor: pointer;&quot; href=&quot;http://www.sciencedirect.com/science/article/pii/S0925231206001184?np=y#NEU3973&quot;&gt;EEG&lt;/a&gt;&lt;span style=&quot;color: #2e2e2e; font-family: 'Arial Unicode MS', 'Arial Unicode', Arial, 'URW Gothic L', Helvetica, Tahoma, 'Cambria Math', sans-serif; font-size: 13px; line-height: 20px; text-align: justify; word-spacing: -1.010229468345642px;&quot;&gt;&amp;nbsp;is usually based on power feature with the classical band power method. In this paper, the method quantifying the complexity and irregularity of event-related EEG data in relation to hand motor imagery is presented. Two groups of the complexity indexes: Kolmogorov complexity (&lt;/span&gt;&lt;em style=&quot;border: 0px; font-size: 13px; margin: 0px; padding: 0px; vertical-align: baseline; font-family: 'Arial Unicode MS', 'Arial Unicode', Arial, 'URW Gothic L', Helvetica, Tahoma, 'Cambria Math', sans-serif; color: #2e2e2e; line-height: 20px; text-align: justify; word-spacing: -1.010229468345642px;&quot;&gt;Kc&lt;/em&gt;&lt;span style=&quot;color: #2e2e2e; font-family: 'Arial Unicode MS', 'Arial Unicode', Arial, 'URW Gothic L', Helvetica, Tahoma, 'Cambria Math', sans-serif; font-size: 13px; line-height: 20px; text-align: justify; word-spacing: -1.010229468345642px;&quot;&gt;) and Fourier spectral entropy (&lt;/span&gt;&lt;em style=&quot;border: 0px; font-size: 13px; margin: 0px; padding: 0px; vertical-align: baseline; font-family: 'Arial Unicode MS', 'Arial Unicode', Arial, 'URW Gothic L', Helvetica, Tahoma, 'Cambria Math', sans-serif; color: #2e2e2e; line-height: 20px; text-align: justify; word-spacing: -1.010229468345642px;&quot;&gt;FSE&lt;/em&gt;&lt;span style=&quot;color: #2e2e2e; font-family: 'Arial Unicode MS', 'Arial Unicode', Arial, 'URW Gothic L', Helvetica, Tahoma, 'Cambria Math', sans-serif; font-size: 13px; line-height: 20px; text-align: justify; word-spacing: -1.010229468345642px;&quot;&gt;) are discussed. The event-related desynchronization/synchronization (ERD/ERS) time course is analyzed and characterized by two parameters&amp;nbsp;&lt;/span&gt;&lt;em style=&quot;border: 0px; font-size: 13px; margin: 0px; padding: 0px; vertical-align: baseline; font-family: 'Arial Unicode MS', 'Arial Unicode', Arial, 'URW Gothic L', Helvetica, Tahoma, 'Cambria Math', sans-serif; color: #2e2e2e; line-height: 20px; text-align: justify; word-spacing: -1.010229468345642px;&quot;&gt;Kc&lt;/em&gt;&lt;span style=&quot;color: #2e2e2e; font-family: 'Arial Unicode MS', 'Arial Unicode', Arial, 'URW Gothic L', Helvetica, Tahoma, 'Cambria Math', sans-serif; font-size: 13px; line-height: 20px; text-align: justify; word-spacing: -1.010229468345642px;&quot;&gt;&amp;nbsp;and&amp;nbsp;&lt;/span&gt;&lt;em style=&quot;border: 0px; font-size: 13px; margin: 0px; padding: 0px; vertical-align: baseline; font-family: 'Arial Unicode MS', 'Arial Unicode', Arial, 'URW Gothic L', Helvetica, Tahoma, 'Cambria Math', sans-serif; color: #2e2e2e; line-height: 20px; text-align: justify; word-spacing: -1.010229468345642px;&quot;&gt;FSE&lt;/em&gt;&lt;span style=&quot;color: #2e2e2e; font-family: 'Arial Unicode MS', 'Arial Unicode', Arial, 'URW Gothic L', Helvetica, Tahoma, 'Cambria Math', sans-serif; font-size: 13px; line-height: 20px; text-align: justify; word-spacing: -1.010229468345642px;&quot;&gt;, respectively. The percentage of EEG complexity during imagination of the unilateral hand movement relative to that during reference period is calculated for quantifying the complexity measure of ERD/ERS time course. The method is applied to two sets of movement-related EEG data recorded over the primary&amp;nbsp;&lt;/span&gt;&lt;a class=&quot;linkText&quot; style=&quot;color: #316c9d; text-decoration: none; border-width: 0px 0px 1px; border-bottom-color: #ba0000; font-size: 13px; margin: 0px; padding: 0px; vertical-align: baseline; font-family: 'Arial Unicode MS', 'Arial Unicode', Arial, 'URW Gothic L', Helvetica, Tahoma, 'Cambria Math', sans-serif; line-height: 20px; text-align: justify; word-spacing: -1.010229468345642px; cursor: pointer;&quot; href=&quot;http://www.sciencedirect.com/science/article/pii/S0925231206001184?np=y#NEU10724&quot;&gt;sensorimotor&lt;/a&gt;&lt;span style=&quot;color: #2e2e2e; font-family: 'Arial Unicode MS', 'Arial Unicode', Arial, 'URW Gothic L', Helvetica, Tahoma, 'Cambria Math', sans-serif; font-size: 13px; line-height: 20px; text-align: justify; word-spacing: -1.010229468345642px;&quot;&gt;&amp;nbsp;area from two subjects. In addition, the validity of the quantitative measure of complexity of the event-related EEG is testified by evaluating the performance of feature extraction and classification. The results show that both&amp;nbsp;&lt;/span&gt;&lt;em style=&quot;border: 0px; font-size: 13px; margin: 0px; padding: 0px; vertical-align: baseline; font-family: 'Arial Unicode MS', 'Arial Unicode', Arial, 'URW Gothic L', Helvetica, Tahoma, 'Cambria Math', sans-serif; color: #2e2e2e; line-height: 20px; text-align: justify; word-spacing: -1.010229468345642px;&quot;&gt;Kc&lt;/em&gt;&lt;span style=&quot;color: #2e2e2e; font-family: 'Arial Unicode MS', 'Arial Unicode', Arial, 'URW Gothic L', Helvetica, Tahoma, 'Cambria Math', sans-serif; font-size: 13px; line-height: 20px; text-align: justify; word-spacing: -1.010229468345642px;&quot;&gt;&amp;nbsp;and&amp;nbsp;&lt;/span&gt;&lt;em style=&quot;border: 0px; font-size: 13px; margin: 0px; padding: 0px; vertical-align: baseline; font-family: 'Arial Unicode MS', 'Arial Unicode', Arial, 'URW Gothic L', Helvetica, Tahoma, 'Cambria Math', sans-serif; color: #2e2e2e; line-height: 20px; text-align: justify; word-spacing: -1.010229468345642px;&quot;&gt;FSE&lt;/em&gt;&lt;span style=&quot;color: #2e2e2e; font-family: 'Arial Unicode MS', 'Arial Unicode', Arial, 'URW Gothic L', Helvetica, Tahoma, 'Cambria Math', sans-serif; font-size: 13px; line-height: 20px; text-align: justify; word-spacing: -1.010229468345642px;&quot;&gt;can effectively describe the dynamic complexity of event-related EEG and also display the consistent and similar behaviors. The relative increase and decrease of event-related EEG complexity could be an indicator of ERD/ERS, which is also independent of the power changes. Thus, the dynamic complexity measure of event-related EEG quantified by&amp;nbsp;&lt;/span&gt;&lt;em style=&quot;border: 0px; font-size: 13px; margin: 0px; padding: 0px; vertical-align: baseline; font-family: 'Arial Unicode MS', 'Arial Unicode', Arial, 'URW Gothic L', Helvetica, Tahoma, 'Cambria Math', sans-serif; color: #2e2e2e; line-height: 20px; text-align: justify; word-spacing: -1.010229468345642px;&quot;&gt;Kc&lt;/em&gt;&lt;span style=&quot;color: #2e2e2e; font-family: 'Arial Unicode MS', 'Arial Unicode', Arial, 'URW Gothic L', Helvetica, Tahoma, 'Cambria Math', sans-serif; font-size: 13px; line-height: 20px; text-align: justify; word-spacing: -1.010229468345642px;&quot;&gt;&amp;nbsp;and&amp;nbsp;&lt;/span&gt;&lt;em style=&quot;border: 0px; font-size: 13px; margin: 0px; padding: 0px; vertical-align: baseline; font-family: 'Arial Unicode MS', 'Arial Unicode', Arial, 'URW Gothic L', Helvetica, Tahoma, 'Cambria Math', sans-serif; color: #2e2e2e; line-height: 20px; text-align: justify; word-spacing: -1.010229468345642px;&quot;&gt;FSE&lt;/em&gt;&lt;span style=&quot;color: #2e2e2e; font-family: 'Arial Unicode MS', 'Arial Unicode', Arial, 'URW Gothic L', Helvetica, Tahoma, 'Cambria Math', sans-serif; font-size: 13px; line-height: 20px; text-align: justify; word-spacing: -1.010229468345642px;&quot;&gt;&amp;nbsp;provides another evidence for ERD/ERS and can be meaningful for analyzing the event-related EEG.&lt;/span&gt;&lt;/p&gt;</style></abstract></record></records></xml>