简介:英蓓特信息技术有限公司发布一款基于ARM应用的通用FlashDownloader工具软件,称为EmbestOnlineFlashProgrammer。该工具软件配合英蓓特公司生产的系列ARM仿真器或其他指定设备使用,适用于基于ARM系列处理器开发的嵌入式系统中Flash芯片的编程,特别适合选择贴片Flash的用户。该FlashDownloader工具通过ARM系列处理器的JTAG接口在线烧写程序到用户目标板的Flash中,给ARM开发用户带来很大方
简介:AbstractJoint arthroplasty is an effective method for treating end-stage joint lesions and damages. Robotic arm-assisted arthroplasty, a rapidly developing technology that combines navigation technology, minimally invasive technology, and precise control technology of the robotic arm, can achieve accurate preoperative planning, optimal selection of implants, minimally invasive surgery, precise osteotomy, and accurate placement of the artificial joint. It has the characteristics of high accuracy and stability, and thus is more and more widely used in the field of joint surgery. In this paper, we systematically reviewed the application and clinical efficacy of robotic arm-assisted technology in hip and knee arthroplasty to provide reference for its future promotion.
简介:<正>Background:Muscularstrengthcanbeconceptuallydeterminedbytwocomponents:muscleactivationandsize.Muscleactivationbythecentralnervoussystemcanbemeasuredbysurfaceelectromyography(sEMG).Muscularsizereflectstheamountofcontractileproteinwithinaskeletalmuscleandcanbeestimatedbyanthropometricmeasurements.Thepurposeofthisstudywastodeterminetherelativecontributionsofsizeparametersandmuscleactivationtothepredictionofmaximalvoluntaryisometricelbowflexionstrength.Methods:Aseriesofanthropometricmeasurementsweretakenfrom96participants.Torqueandroot-mean-square(RMS)ofthesEMGfromthebicepsbrachiiwereaveragedacrossthreemaximalvoluntaryisometriccontractions.AmultiplelinearregressionanalysiswasperformedbasedonaPearson’scorrelationmatrix.Results:Bodyweight(BW)accountedfor39.1%and27.3%inmalesandfemales,respectively,andwasthestrongestpredictorofstrengthformales.Forearmlength(L3)wasthestrongestpredictorofstrengthinfemales(partialR~2=0.391).Elbowcircumference(ELB)accountedforasignificant(p<0.05)amountofvarianceinmalesbutnotfemales.TheadditionofsEMGRMSasathirdvariableaccountedforanaverageof10.1%ofthevarianceexcludingtheequationofBWandL3infemales.ThestrongestpredictionequationincludedBW,L3,andELBaccountingfor55.6%and58.5%ofthevarianceinmalesandfemales,respectively.Conclusion:Anthropometricsprovideastrongpredictionequationfortheestimationofisometricelbowflexionstrength.Muscleactivation,asmeasuredbysEMGactivity,accountedforasignificant(p<0.05)amountofvarianceinmostpredictionequations,however,itscontributionwascomparabletoanadditionalanthropometricvariable.