简介：Background:Thegreatertrochantermarkeriscommonlyusedin3-dimensional(3D)models;however,itsinfluenceonhipandkneekinematicsduringgaitisunclear.Understandingtheinfluenceofthegreatertrochantermarkerisimportantwhenquantifyingfrontalandtransverseplanehipandkneekinematics,parameterswhichareparticularlyrelevanttoinvestigateinindividualswithconditionssuchaspatellofemoralpain,kneeosteoarthritis,anteriorcruciateligament(ACL)injury,andhippain.Theaimofthisstudywastoevaluatetheeffectofincludingthegreatertrochanterintheconstructionofthethighsegmentonhipandkneekinematicsduringgait.Methods:3Dkinematicswerecollectedin19healthysubjectsduringwalkingusingasurfacemarkersystem.Hipandkneeangleswerecomparedacrosstwothighsegmentdefinitions(withandwithoutgreatertrochanter)attwotimepointsduringstance:peakkneeflexion(PKF)andminimumkneeflexion(MinKF).Results:Hipandkneeanglesdifferedinmagnitudeanddirectioninthetransverseplaneatbothtimepoints.Inthethighmodelwiththegreatertrochanterthehipwasmoreexternallyrotatedthaninthethighmodelwithoutthegreatertrochanter(PKF:-9.34°±5.21°vs.1.40°±5.22°,MinKF:-5.68°±4.24°vs.5.01°±4.86°;p<0.001).Inthethighmodelwiththegreatertrochanter,thekneeanglewasmoreinternallyrotatedcomparedtothekneeanglecalculatedusingthethighdefinitionwithoutthegreatertrochanter(PKF:14.67°±6.78°vs.4.33°±4.18°,MinKF:10.54°±6.71°vs.-0.01°±2.69°;p<0.001).Smallbutsignificantdifferencesweredetectedinthesagittalandfrontalplaneanglesatbothtimepoints(p<0.001).Conclusion:Hipandkneekinematicsdifferedacrossdifferentsegmentdefinitionsincludingorexcludingthegreatertrochantermarker,especiallyinthetransverseplane.Thereforewhenconsideringwhethertoincludethegreatertrochanterinthethighsegmentmodelwhenusingasurfacemarkerstocalculate3Dkinematicsformovementassessment,iti

简介：在为技术建模的脑电图(EEG)，数据片断选择是首先并且仍然重要的步。在一个基于EEG的大脑计算机接口(BCI)的特征抽取和分类上的一套data-segment-related参数的影响被学习。一个汽车搜索算法被开发在12题目EEG的每试用学习四个data-segment-related参数。数据片断(LDS)的长度，数据(SPD)的开始位置试用(NT)的片断，AR顺序，和数字被用来造模型。学习证明与没有参数选择的分类比率(CR)相比，CR被20%～30%与这些data-segment-related参数的合适的选择增加，并且最佳参数值是易于依赖者的。当为BCI造模型时，这建议data-segment-related参数应该被有个性。