specification the research protocol based manuscript learning用OEPS来提取生物特征信号这篇文章是项目工程第一步

ASpecificationontheResearchProtocolbasedonManuscriptlearningXiaoyunTableofManuscript Brief SpecificationontheResearch Goal:tocapturehumancriticalphysiologicalparameters:SaO2%,heartrate,respirationrate,bodytemperature,heartrate,etc.Tool:awearableopto-electronicpatchsensorOEPS来提取生物特MEMSaccelerometertorecoversignalscorruptedbybodymotionartifacts.MEMS来减小因为身体运动而对MEMSaccelerometer的electronicdesign,signalacceleration加速度信号opto-electronicsensor依据physiologicalpropertiesoxygensaturationbetterunderstandingofilluminationtobiologicaltissueinordertoprovidecontinuousyetaccuratehealthcare.光照对生物组织影响的进一步探讨physicalactivitymonitoringviaaccelerationdetectiontobeusedforrecoveringsignalscorruptedbybodymovement通过对信号加速度的检测，将受运动影响的信号恢复出来。electronicdesignanddevelopmentofalgorithmsforself-cancellationofnoiseandstabilityoftheOEPSOEPS传感器(1)可穿戴的光电传感器有前置放大器和高通滤波器：用3axisaccelerometer来检测运动，温度传感器；（2）PIC单片机实现了低通滤波器，对ADC信号进行采样，并且使得数据 （3） Opto-physiologicalmonitoringengineeringmodelwithamotionreduction PPGAC成分显示了组织表面反射光的变动情况；DC成分显示了组织吸收的常量。2中表示的是：Theautomaticmotionartifactcancellationtechnique.corruptedPPGsignalinputmotionsignalinput(reference)(1)bothsignalsfromtheaccelerometerandthesensorwerecontrolledbythemicrocontroller,inordertoperformfurtherprocessing.受影响的PPG信号和motionsignal信号 Opto-physiologicalmonitor检测到的信号的运动信号的改变只和内部组织的光电子动力学…(physicalmovementrelaxingmodestaticcontributionDC可以用的策略：highpassfilterwithcut-offfrequencyclosetoelectromagneticandpowersupplynoises,这些噪声的频率较高，可以采取的策略：LowpassfilteringmotionartifactIntheproposedapproach,an oguetri-accelerometerwhichcandetectaccelerationandmovementinallthreeaxesinrespectofgravitationalaccelerationandprovidesareliablemotionreference.Toachieveefficientremovalofthecontributionofthemotionartifact,anautomaticdifferentialmeasurementbymeansofanormalizationapproachisused.Brief3-axisaccelerometer对实验样本进行采样，得到(x,y,z)motionartifact的参考；与此同时采PPGPPG3-axisaccelerometer得到的运动统计变PPG信号进行信号处理，从而得到了受运动干扰PPG信号。SpecificationontheResearch manuscript的方法，但是需要在录制的同时记录头部运动的信息。想到两manuscript3-axisacclerometer的传感器，记录和脸部轻微的运动。因为表情中的头部和身体的大范围晃动可控，所以主要的影响应该对消除了运动对manuscript中提到的原理，可以对信 读完这篇manuscript，主要在（2）上有点想法。Fig.1AmoredetailedprotocolAcceleratecamera没做过建议databaseExtract

ExtracttheRemovemotionartifactonthesignals:Usinggeometry