基于DSP腦電信號采集系統(tǒng)的設(shè)計(jì)與信號去噪研究.pdf

1、上海大學(xué)碩士學(xué)位論文基于DSP腦電信號采集系統(tǒng)的設(shè)計(jì)與信號去噪研究姓名：奚正山申請學(xué)位級別：碩士專業(yè)：計(jì)算機(jī)應(yīng)用技術(shù)指導(dǎo)教師：馬文麗20050201上海大學(xué)碩士學(xué)位論文AbstractTheelectronicsignalsofthebrainisoneoftheappealingresearchsubjectsinbiologicalresearchElectroencephalography(EEG)isanimportantinf

2、ormationinclinicaldiagnosisofthecentralnervessystem，assistinghealthprofessionalsanalyzingandmakingjudgmentonpatient’SdiseasestatusThecollectingandanalyzingprocesseshasstrictrequirements，ontheonehand，interferenceshouldbea

3、voidedasmuchaspossible，SOastocollecttheexactEEGsignals；ontheothertheanalyzingprocessesshouldbereliabletorestoreauthenticallythecollectedsignals，whichcallsforstrongfunctionsofsystemnoisedecreasingaswellsignalreconstructio

4、nThestudyonthenoisedeductionandsignalreconstructionoftheEEGadvancingrapidlyTheindependentcomponentanalysis(ICA)hasfoundwidespreadapplicationsinthefieldofbiomedicalresearchThebasicapproachofICAistofindseparationmatrixSOth

5、ateachcomponentoftheoutputsignalisindependentlyobtainedbytransformingtheobservedmultidimensionalmixtureofdata，Suchmethodthougheffective，theresearchontheidentificationfortheseparatedcomponentsisstilllackingTherearealsosom

6、einvestigationdemonstratedthatbiomedicalsignalsofdifferentsourcesmayhavevaryingHurstexponentdistributionCurrently，themechanismforEEGformationhasnotbeenfullyelucidated，Applyingimprovedmethodsofsignalcollecting，noisededuct

7、ingandsignalanalysisshouldhavegreatimplicationsonenhancingthediagnosisfimctionoftheEEGThisresearchhavetwopartPartonedealswiththeassemblyofsystemhardwareplatform，aswellasthedesignofthecorrespondingsoftware；Parttwoisforsys