gamp压缩算法改进及其在心电监护系统中应

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1、0H丄fGAMP丨k缩兌法的改进及H./l:心电监护系统屮的l、VMj路和设计方法。接着，分析了心电信号的功率谱，研究并设讣了基于ECG特征波的窗函数，改进了基于ECG信号特征的稀疏分解算法。以此为依据设讣了ECG信号特征的GAMP压缩算法模型，并使用MIT-BIH心电数据库屮的实际心电信号进行仿真，验证了算法的有效性和可行性。然后，分析了遗传算法屮的交叉与变异运算，结合本文算法指出了遗传算法屮的不足，并根据本文的算法相适合的自适应的遗传算法，进-?步降低了算法的复杂度，并同样使用M1T-BIT数据库中的数据进行仿真，验证了算法的冇效性和可行性。最后，设计了以本文改进算法为基础

2、的心电监护系统。将算法应用在心电监护系统中，并设计了以CC2430为核心无线传输模块，分析了心电信号的编码压缩与解码重构过程。论文的心电信号压缩算法、系统设计思路为研制可随身携带的实时心电监护产品打下了一定的基础。关键词：心电监护系统，稀疏分解算法，遗传算法，心电信号特征，窗函数，无线传输GAMP/?丨、：缩算法的改进及;rt:在心电监护系统屮的柃WIMPROVEDGAMPCOMPRESSIONALGORITHMANDITSAPPLICATIONINTHEECGMONITORINGSYSTEMABSTRACTNowadays,theheartdiseasewhichthreat

3、enhumanbeingshealthisoneofthemostseriousdiseasesintheworld.Statisticsshowthatmillionsofpeoplearedyingcardiovasculardiseaseeachyear,sothestudyofprevention,diagnosisandtreatmentforithasbecomeanimportantissueofthemedicalprofession.TheECGmonitoringsystemprovidesuserswithreal-timeECGmonitoringser

4、viceandensurestheuserscanbeguardedreal-timelyandtreatedintimeifanystrangesignshappen.ItisindispensibletocompressEGGduetotremendousdataproducedbythelongtimeandwhole-daycontinuousmonitoring.Atpresent,thecompressionalgorithmforECGhasbecomeafocusofresearchintheECGapplicationfield.However,shortco

5、mingsofcurrentECGcompressionalgorithmsexist,suchashighcomputationalcomplexityandcomputationallyintensive,whichareunabletobeappliedinmicroprocessorswithlimitedresources.EfficientalgorithmneedtobestudiedtoperformECGcompressioninresource-constraineddevicesandtoallowdoctorstomonitorpatientssigns

6、withremotemonitoringdevices.SparsecompositionmethodforEGGsignalprocessingattractsconsiderablecurrentresearchinterest,graduallyinrecentyears.TheSparsedecompositionalgorithmcanachievehighercompressionratioandlessdistortionrate,butthedisadvantageofsparsedecompositionalgorithmiscomputationallyin

7、tensiveandalgorithmcomplexity.Althoughbasedongeneticalgorithm,thesparsedecompositionalgorithmreduceslotsofcomputationandalgorithmcomplexity,itstillneedsalargeamountofcomputation.BycombinedwithECG，thecomputationcomplexitycanbereducedfurthertomeetthe