Real time QRS detection based on M-ary likelihood ratio test on the DFT coefficients.

This 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 bas...

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Autores principales:	Juan Manuel Górriz, Javier Ramírez, Alberto Olivares, Pablo Padilla, Carlos G Puntonet, Manuel Cantón, Pablo Laguna
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e87a82832e974d3b84c0ea4ec3724756
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spelling	oai:doaj.org-article:e87a82832e974d3b84c0ea4ec37247562021-11-25T05:55:04ZReal time QRS detection based on M-ary likelihood ratio test on the DFT coefficients.1932-620310.1371/journal.pone.0110629https://doaj.org/article/e87a82832e974d3b84c0ea4ec37247562014-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0110629https://doaj.org/toc/1932-6203This 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.Juan Manuel GórrizJavier RamírezAlberto OlivaresPablo PadillaCarlos G PuntonetManuel CantónPablo LagunaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 10, p e110629 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Juan Manuel Górriz Javier Ramírez Alberto Olivares Pablo Padilla Carlos G Puntonet Manuel Cantón Pablo Laguna Real time QRS detection based on M-ary likelihood ratio test on the DFT coefficients.
description	This 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.
format	article
author	Juan Manuel Górriz Javier Ramírez Alberto Olivares Pablo Padilla Carlos G Puntonet Manuel Cantón Pablo Laguna
author_facet	Juan Manuel Górriz Javier Ramírez Alberto Olivares Pablo Padilla Carlos G Puntonet Manuel Cantón Pablo Laguna
author_sort	Juan Manuel Górriz
title	Real time QRS detection based on M-ary likelihood ratio test on the DFT coefficients.
title_short	Real time QRS detection based on M-ary likelihood ratio test on the DFT coefficients.
title_full	Real time QRS detection based on M-ary likelihood ratio test on the DFT coefficients.
title_fullStr	Real time QRS detection based on M-ary likelihood ratio test on the DFT coefficients.
title_full_unstemmed	Real time QRS detection based on M-ary likelihood ratio test on the DFT coefficients.
title_sort	real time qrs detection based on m-ary likelihood ratio test on the dft coefficients.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/e87a82832e974d3b84c0ea4ec3724756
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Real time QRS detection based on M-ary likelihood ratio test on the DFT coefficients.

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