简介:AnewmethodofphasespectralanalysisofEEGisproposedforthecomparativeanalysisofphasespectrabetweennormalEEGandepilepticEEGsignalsbasedonthewaveletdecompositiontechnique.Byusingmultiscalewaveletdecomposition,theoriginalEEGsaremappedtoanorthogonalwaveletspace,suchthatthevariationsofphasecanbeobservedatmultiscale.Itisfoundthatthephase(andphasedifference)spectraofnormalEEGsaredistinctfromthatofepilepticEEGs.Thatisthevariationsofphase(andphasedifference)ofnormalEEGshaveadistinctperiodicpatternwiththeelectricalactivityproceedsinthebrain,butdonottheepilepticEEGs.ForepilepticEEGs,onlyatthosetransientpoints,thephasevariationsareobvious.Inordertoverifytheseresultswiththeobservationaldata,thephasevariationsofEEGsinprincipalcomponentspaceareobservedandfoundthat,thefeaturesofphasespectraisincorrespondencewiththatthewaveletspace.TheseresultsmakeitpossibletoviewthebehaviorofEEGrhythmsasadynamicspectrum.
简介:T房间受体(TCR)的结扎独自是不够的导致T淋巴细胞的完整的激活。介绍房间(APC)和T房间的抗原上的另外的ligand受体相互作用(costimulation)被要求。T房间costimulation被显示了为得到有效T房间回答必要,包含在T房间开发期间的所有阶段。然而,costimulation由影响T房间的功能的机制仍然需要被阐明。在最近的年里,在癌症,传染疾病以及自体免疫的疾病作为潜在的治疗在costimulation的研究被献殷勤。在这评论,我们讨论了调整T房间增长,房间周期前进,cytokine生产,幸存,和存储器开发的细胞内部的costimulation信号。一般来说,phosphoinositide-3kinase(PI3K)的小径/proteinkinaseB(PKB,也作为Akt知道)/nuclear因素B(NF-B)可能对许多costimulatory效果中央。通过这些小径,costimulation由survivin和曙光B表示的维护控制T房间扩大和增长,并且由调整bcl-2家庭成员的表达式支撑长期的T房间幸存和存储器开发。
简介:Withtherapiddevelopmentofbraincomputerinterface(simplycalledBCI),electroencephalography(EEG)willbeanotherinterestingbio-electricalsignalappliedinroboticsafterEMG.Inordertorealizeitfinally,theaccuratemeasurementandpatternrecognitionofEEGsignalmustbeaveryimportantandelementaryresearchobjective.Basedonourcurrentresearchesandsomereportsfromtheotherinternationalcolleaguesinthefield,wedeeplydiscussthebasiccharacteristicsofEEGsignal,thedevelopmentandselectionofEEGmeasurementsystem,featureextractionandrecognitionmethodsofEEGsignal,andthenreviewEEG'sapplicationsinroboticsaswellasthefutureresearchtrendsinthispaper.
简介:这研究的目的是根据EEG信号的复杂性措施的值识别大脑的函数和状态。30件正常样品和30件耐心的样品的EEG信号是镇定的。为未加工的数据基于预处理,为复杂性措施的一个计算程序被编译,所有样品的复杂性措施是计算的。吝啬的值和控制组的复杂性措施的标准错误作为0.33和0.10,并且正常的组作为0.53和0.08。当信心度是0.05时,为控制组的复杂性措施的正常人口平均数的信心间隔是(0.2871,0.3652),并且(0.4944,0.5552)为正常的组。正常样品和耐心的样品能清楚地是的统计结果表演由措施的价值区分了。在临床的药,结果能是是引用评估函数或状态,诊断疾病,监视大脑的康复进步。
简介:瞄准:建立一个客观、容易使用、全面的方法分析阴茎海绵体electromyographic信号(CC潜力)。方法:CC潜力我们在23个年轻健康志愿者在软弱期间再录,与旁边地放在阴茎柄双性人上的表面电极。基于Matlab软件的关联函数,为CC潜力的分析的一个应用程序被开发。单个CC潜力和他们的自相关功能被评估,产出参数振幅(A),持续时间(D),和主导的频率(DF)。邻近的电极的纵、双边的对的跨关联的功能被计算从CC的不同部分同时估计类似和CC-potentialsrecorded的相互的延期。导出的参数被摆平maximumcross关联系数(Rmax)和延期(τ)。基于τ和相应极间距离的绝对值,繁殖速度(PV)被计算。结果:参数的Thevalues自动地被决定。与为参数A,D,和DF的电极的地点有关的有效差量都没被检测。跨关联证明纵、双边的CC潜在的对有高度类似的波形(Rmax的绝对值是0.80±0.05和0.87±0.06,分别地)。纵的对的PV作为6.15±被估计3.98cm/s。结论:为关联分析ofCC潜力的应用程序是一个全面、万用的方法分析阴茎海绵体electromyographicrecordings。它的客观性使多中心申请可能。
简介:在抗原刺激之上,天真的T助手房间区分进不同的系达到专业化性质和受动器功能。TH17房间,CD4+受动器T房间的一个最近识别的系,对真菌和细胞外的细菌在有免疫力的防卫起一个关键作用,而且贡献许多自体免疫的条件的致病。TH17房间被在T房间表明小径和transcriptional管理者的一个复杂网络安排。当T房间内在的小径的参与广泛地被描述了时,我们开始就正在欣赏怎么TH17房间开发被外来的小径塑造,特别天生的有免疫力的信号。树枝状的房间(DC),到天生的桥牌的最重要的房间类型和适应免疫,驱动器T由提供antigenic,costimulatory和cytokine的H17房间区别发信号。这被DC被天生、煽动性的信号的识别经由模式识别受体,cytokine受体和接着激活细胞内部的发信号网络的另外的immunomodulatory受体调停。特别地,p38α;地图kinase作为一条批评小径出现了编程序DC依赖的T由在DC集成多重有启发性的信号的H17房间区别。这里,我们在导出DC的天生的有免疫力的信号由驾驶TH17房间区别。
简介:Withaself-madenear-infraredanalyticalinstrumenttobloodandoxygenparametersinhumanbrain,80casesinwhich20arehealthypersonsand30areanaesthetisedcasesandothersarepatientswithheartfunctionlackistakentoexamine,andthedataofbloodandoxygeninbraintissuewerecollectedandanalyzedbythemethodofpowerspectrumandcorrelationfunction.Theresultsindicatethat:(1)Theaveragebrainoxygensaturationofhealthypersonsandanaesthetisedcasesisabout80%,inaccordwithnormalparameterofphysiology.Contrastively,theaveragebrainoxygensaturationofpatientswithheartfunctionlackis72.8%,whichisobviouslylessthanthatofhealthypersonsandanaesthetisedcases.Theprobabilityofmedicalstatisticsislessthan0.01.(2)Theshapesofwaveofbrainbloodandoxygenforthehealthypersonandtheanaesthetisedcaserevealsmallperiodicalfluctuationswithstableshapeandbaseline,andthetrendofincreaseordecreaseofbloodandoxygenparametersinbraintissueissynchronousandaphasereversal,butforthepatientwithheartfunctionlackinabrainoxygenlackstate,theshapesofwaveareirregular.Thisisahintthatnearinfraredlightpassingthroughtissuecanreflecttheintuitionisticchangeofbrainbloodandoxygenparameters.(3)Thepowerspectraofbrainbloodandoxygenforthehealthypersonandtheanaesthetisedcasehasaclearmainpeak,narrowbandwidthandperfectsuperpositioneachother,butthepowerspectraforthepatientwithheartfunctionlackinabrainoxygenlackstateisonthecontrary.(4)Theaveragecrosscorrelationcoefficientofbrainbloodandoxygenforhealthypersonsandanaesthetisedcasesis-0.9825±0.1027closeto-1.Buttheaveragecrosscorrelationcoefficientforpatientswithheartfunctionlackinabrainoxygenlackstateismerely-0.8923±0.1035whichisobviouslygreaterthan-1andtheprobabilityofmedicalstatisticsislessthan0.01.Theclinicexperimentshaveprovedthattheshapes
简介:Artificialfacialnerveprosthesesarethoughttorestoreeye-closedfunctioninperipheralfacialparalysispatients.Atpresent,however,thereisnoadequatequantitativeorqualitativeinformationregardingmyoelectricsignal(MES)featuresforhealthyorbicularisoculimuscle(OOM).ThepresentstudyanalyzedMESfeaturesofnormalOOMinrabbitsduringthenaturalcontinuouseye-opening(N1)state,naturalcontinuouseye-closing(N2)state,naturalblink(N3)state,andevokedeye-closing(E)stateaccordingtotimedomainandfrequencydomainanalysis.ResultsshowedthatOOMelectricalactivitiesinN1andN2states,aswellasmyoelectricamplitude,werelowandstable.Nevertheless,duringN3andEstates,OOMelectricalactivitiesweresignificantlyincreasedandamplitudewasmuchhigherintheEstatethanintheN3state.Inthetimedomain,differencesinMESpeakabsolutepotentialwerenotsignificantbetweenN1andN2states.Inthefrequencydomain,differencesinpowerspectraldensitypeakfrequencyofelectromyogramsignalsweresignificantbetweentwosetsoffourOOMmovementstates.TheseresultssuggestthatOOMsignificantlycontractsandinduceseyelid-closingaction.Inaddition,OOMisdiastolicduringtheN1state.AN2statedoesnotrequirecontinuousintensiveOOMcontraction.Moreover,distinctionsofquantitativeinformationintimeandfrequencydomainfeaturesofMEScanbeusedasanOOMreferencetoidentifymusclemovementpatterns.
简介:PulsediagnosisplaysavitalroleinTraditionalChineseMedicine(TCM).Toextracteffectiveandproperfeaturesfromthewrist-pulse-signalsisacrucialstepfortherecognitionandclassificationofthepulsesignals.Althoughtheanalysisinthetimedomainisalsoveryeffectiveforalotofpulsetypes(SHUetal.,2007),thefrequencyandtime-frequencyanalysisareusuallyusedintheliterature(YANetal.,2005;YUEetal.,2006)becausethepulsesignalsarenon-stationaryandnon-periodictimeseriesinthepathologicalstates.Inrecentyears,anewtime-frequencyanalysismethod,Hilbert-HUANGTransformproposedby