A Genetic Algorithm To Compress Electrocardiograms Using Parameterized Wavelets

dc.creatorSilveira R.M.R.
dc.creatorAgulhari C.M.
dc.creatorBonatti I.S.
dc.creatorPeres P.L.D.
dc.date2007
dc.date2015-06-30T18:40:24Z
dc.date2015-11-26T14:31:17Z
dc.date2015-06-30T18:40:24Z
dc.date2015-11-26T14:31:17Z
dc.date.accessioned2018-03-28T21:34:39Z
dc.date.available2018-03-28T21:34:39Z
dc.identifier9781424418350
dc.identifierIsspit 2007 - 2007 Ieee International Symposium On Signal Processing And Information Technology. , v. , n. , p. 402 - 407, 2007.
dc.identifier
dc.identifier10.1109/ISSPIT.2007.4458092
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-71549152277&partnerID=40&md5=cd25a68859a812c150cee371f4a9d7d3
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/104276
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/104276
dc.identifier2-s2.0-71549152277
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1247332
dc.descriptionA compression method, based on the choice of a wavelet that matches the electrocardiogram signal to be compressed, is proposed in this paper The coefficients of the scaling filter that minimize the distortion of the compressed signal are used to determine the wavelet. The choice of the scaling filter is done by the parametrization of the scaling coefficients in a way that all the constraints are satisfied for any set of parameters. A genetic algorithm is used to determine the parameters that minimize the distortion of the compressed signal. The performance of the proposed algorithm is analyzed and compared with the compression using the classical wavelet Db3. ©2007 IEEE.
dc.description
dc.description
dc.description402
dc.description407
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dc.languageen
dc.publisher
dc.relationISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology
dc.rightsfechado
dc.sourceScopus
dc.titleA Genetic Algorithm To Compress Electrocardiograms Using Parameterized Wavelets
dc.typeActas de congresos


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