【《肌肉信号研究现状的文献综述》2200字】

[12]已经设计了用于测量人体表面肌肉形变信号的电容传感器，并将其应用到假肢控制中。我们通过提取电容信号的特征来识别下肢运动结果，已经可以设计的模式识别方法将下肢运动模式进行分类，产生了不弱于sEMG的结果。然而，虽然这些方法能产生准确的识别精度，但其性能在很大程度上仍取决于信号特征和训练数据集。电容传感器信号的生物学意义尚不清楚。肌肉参数和电容信号之间的关系从来没有被处理。本课题也将据此进行探索，引入肌肉形态学参数，研究电容信号与肌肉形态学参数的相关性，具体内容将在第四章中进行讲述。参考文献ChuJU,MoonI,LeeYJ,KimSK,MunMS.Asupervisedfeature-projection-basedreal-timeEMGpatternrecognitionformultifunctionmyoelectrichandcontrol[J].IEEE/ASMETransactionsonMechatronics,2007,12(3):282−290.J.DelPreto,D.Rus.SharingtheLoad:Human-RobotTeamLiftingUsingMuscleActivity[J].2019InternationalConferenceonRoboticsandAutomation(ICRA),Montreal,QC,Canada,2019,pp.7906-7912.Y.Wu,D.Jiang,X.Liu,R.BayfordandA.Demosthenous,"AHuman–MachineInterfaceUsingElectricalImpedanceTomographyforHandProsthesisControl,"inIEEETransactionsonBiomedicalCircuitsandSystems,vol.12,no.6,pp.1322-1333,Dec.2018,doi:10.1109/TBCAS.2018.2878395.T.Bao,A.Zaidi,S.XieandZ.Zhang.Surface-EMGbasedwristkinematicsestimationusingconvolutionalneuralnetwork[J]”.2019IEEE16thInternationalConferenceonWearableandImplantableBodySensorNetworks(BSN),2019:1-4.JGNgeo,TTamei.ContinuousandsimultaneousestimationoffingerkinematicsusinginputsfromanEMG-to-muscleactivationmodel[J].JournalofNeuroengineering&Rehabilitation,2014,11(1):122.VaughanCL,DavisBL,JCOíconnor.Dynamicsofhumangait[M].humankineticspublishers,1999:15-43.C.N.Maganaris.Forceth-lengthcharacteristicsofinvivohumanskeletalmuscle[J].ActaPhysiologicaScandinavica,2001,Vol.172(4):279-285.MillerDI.Acomputersimulationmodeloftheairbornephaseofdiving[M].UniversityMicrofilms,1970.Lee,Dongwoon.ComputationalModelingandAnalysisofComplexMuscleArchitecture[D].Toronto:UniversityofToronto,2015:5-8.汪灵梦.实时定量检测骨骼肌动态变化的超声图像处理算法研究及设备开发[D].深圳:深圳大学,2019.CroninNeilJ,CartyChristopherP,BarrettRodS,LichtwarkGlen.Automatictrackingofmedialgastrocnemiusfasciclelengthduringhumanlocomotion[J].Journalofappliedphysiology,2011,111(5).郑恩昊.基于电容传感的人体运动意图识别及在穿戴式机器人中的应用[D].北京:北京大学，2016.M.Fernndez-Delgado,M.S.Sirsat,E.Cernadas,et,al.Anextensiveexperimentalsurveyofregressionmethods[J].NeuralNetworks,2019,111:11-34.TingfangYanetal.Anoscillator-basedsmoothreal-timeestimateofgaitphaseforwearablerobotics[J].AutonomousRobots,2017,41(3):759-774.R.Ronsse,S.M.M.DeRossi,N.Vitiello,etal.Real-TimeEstimateofVelocityandAccelerationofQuasi-PeriodicSignalsUsingAdaptiveOscillators[J].IEEETransactionsonRobotics,2013,29,(3):783-791.DarmaPN,BaidillahMR,SifunaMW,etal.Real-timeDynamicImagingMethodforFlexibleBoundarySensorinWearableElectricalImpedanceTomography[J].IEEESensorsJournal,2020,20(16):9469-9479.ShiJ,ZhengY,XinC,etal.Modelingtherelationshipbetweenwristangleandmusclethicknessduringwristflexion–extensionbasedonthebone–muscleleversystem:Acomparisonstudy[J].MedicalEngineering&Physics,2009,31(10):1255-1260.J.DelPretoandD.Rus.Sharingthe