000057858 001__ 57858
000057858 005__ 20170327111912.0
000057858 0247_ $$2doi$$a10.1371/journal.pone.0110629
000057858 0248_ $$2sideral$$a88491
000057858 037__ $$aART-2014-88491
000057858 041__ $$aeng
000057858 100__ $$aGorriz, Juan Manuel
000057858 245__ $$aReal Time QRS Detection based on M-ary Likelihood Ratio Test on the DFT coefficients
000057858 260__ $$c2014
000057858 5060_ $$aAccess copy available to the general public$$fUnrestricted
000057858 5203_ $$aThis paper shows an adaptive statistical test for QRS detection of electrocardiography (ECG) signals. The method is based on a M-ary generalized likelihood ratio test (LRT) defined over a multiple observation window in the Fourier domain. The motivations for proposing another detection algorithm based on maximum a posteriori (MAP) estimation are found in the high complexity of the signal model proposed in previous approaches which i) makes them computationally unfeasible or not intended for real time applications such as intensive care monitoring and (ii) in which the parameter selection conditions the overall performance. In this sense, we propose an alternative model based on the independent Gaussian properties of the Discrete Fourier Transform (DFT) coefficients, which allows to define a simplified MAP probability function. In addition, the proposed approach defines an adaptive MAP statistical test in which a global hypothesis is defined on particular hypotheses of the multiple observation window. In this sense, the observation interval is modeled as a discontinuous transmission discrete-time stochastic process avoiding the inclusion of parameters that constraint the morphology of the QRS complexes.
000057858 536__ $$9info:eu-repo/grantAgreement/ES/MICINN/TEC2012-34306
000057858 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000057858 590__ $$a3.234$$b2014
000057858 591__ $$aMULTIDISCIPLINARY SCIENCES$$b8 / 56 = 0.143$$c2014$$dQ1$$eT1
000057858 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000057858 700__ $$aRamirez, Javier
000057858 700__ $$aOlivares, Alberto
000057858 700__ $$aPadilla, Pablo
000057858 700__ $$aPuntonet, Carlos G.
000057858 700__ $$aCantón, Manuel
000057858 700__ $$0(orcid)0000-0003-3434-9254$$aLaguna, Pablo$$uUniversidad de Zaragoza
000057858 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDepartamento de Ingeniería Electrónica y Comunicaciones$$cTeoría de la Señal y Comunicaciones
000057858 773__ $$g9, 10 (2014), e110629 [12pp]$$pPLoS One$$tPLoS One$$x1932-6203
000057858 8564_ $$s941583$$uhttp://zaguan.unizar.es/record/57858/files/texto_completo.pdf$$yVersión publicada
000057858 8564_ $$s121170$$uhttp://zaguan.unizar.es/record/57858/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000057858 909CO $$ooai:zaguan.unizar.es:57858$$particulos$$pdriver
000057858 951__ $$a2016-12-14-14:51:35
000057858 980__ $$aARTICLE