抑郁傾向預(yù)測算法研究及其微系統(tǒng)集成實(shí)現(xiàn).pdf

1、蘇州大學(xué)碩士學(xué)位論文抑郁傾向預(yù)測算法研究及其微系統(tǒng)集成實(shí)現(xiàn)姓名：鮑信茹申請學(xué)位級別：碩士專業(yè)：微電子學(xué)與固體電子學(xué)指導(dǎo)教師：李文石20080501抑郁傾向預(yù)測算法研究及其微系統(tǒng)集成實(shí)現(xiàn)英文摘要TheAlgorithmsResearchandMicro—systemImplementationonDepressionTrendDetectionAbstractDepressionwillbecomethemostpowerfulkille

2、rinthefutureWiththedevelopmentofthetechnologies，theresearchesofbraincognitivefunctionarealsodevelopingTheknownconclusionpromptedUSthatthedepressioncauseisbrain’SactivitydecreaseontemporallobeandprefrontalregionOneofthemo

3、steffectiveapproachesofcontrollingdepressionisthattodetectthedepressionaccordingtobrainmechanism，andtoconcerndepressioninrealtimeThetargetofthisthesisistodetectthebrainmechanismindirectlyandtesearchthetypicalcharacterist

4、ic(smileVScalmness)ofinfraredauricularsignalbyouranalysissystem(thepersonalcomputersystemandtheadvancedRISCmachinemicrosystem)BasedontheacquisitionofauricularsignalusinginfraredsensorIchosethedifferencebetweensmileandcal

5、mnessfromtheparticipantstodetectthedepressiontrendWegettheenergyinmiUi—hertz謝也theimprovedalgorithmofwavelettransform，andweanalyzeddetectionsignals’characterofnonlinear、^dtllthealgorithmofmultifractalThereare20volunteersa

6、ttachingtoourexperimenttohelpUSvalidatingthefeasibilityofourmethodsAtlast，weimplementedthedepressiondetectioninARMmicro—systemInthissystem，weUSedtouchscreehtocontrolourprogramandtodisplaytheresult，andWeembeddedthealgorit

7、hmsintointerruptedserveprogramThefinishedexperimentsresultshadprovedthat：(1)Ithadbeenprovedtobesuccessfulthatusingthedeferencebetweencalmnessandsmiletodetectthedepression仃end(2)Thetwofeaturesofwaveletandwaveletplusmultif

8、ractalareallsuitablefordetectingdepressiononoursystem(3)Usingthewaveletfeaturefollowsthebraincognitivelawthatisthecalmnessenergyofhumanwithgoodhealthbeinghigherthantheirsmileenergy(4)ThefeatureofwaveletplusmultifractalCa

9、llbeusedtoanalyzethelimiteddiscretetimesignalTheanalysisaboutdataofcalmnessandsmilesuggestthatthecalmnessaveragevalueofdimensionislowerthansmilefortheman謝tlldepression(5)Thedepressiondetectionvaliditytouchedupto80percent