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Please use this identifier to cite or link to this item: http://hdl.handle.net/10481/33852

Title: Real Time QRS Detection Based on M-ary Likelihood Ratio Test on the DFT Coefficients
Authors: Górriz Sáez, Juan Manuel
Ramírez Pérez de Inestrosa, Javier
Olivares, Alberto
Padilla, Pablo
Puntonet, Carlos G.
Cantón, Manuel
Laguna, Pablo
Issue Date: 2014
Abstract: 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.
Sponsorship: This work has received research funding from the Spanish government (www.micinn.es) under project TEC2012 34306 (DiagnoSIS, Diagnosis by means of Statistical Intelligent Systems, 70K€) and projects P09-TIC-4530 (300K€) and P11-TIC-7103 (156K€) from the Andalusian government (http://www.juntadeandalucia.es/organismo​s/economiainnovacioncienciayempleo.html).
Publisher: Public Library of Science (PLOS)
Keywords: Algorithms
Arrhythmia
Database and informatics methods
Electrocardiography
Matched filters
Signal filtering
Signal processing
Speech signal processing
URI: http://hdl.handle.net/10481/33852
ISSN: 1932-6203
Rights : Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License
Citation: Górriz, J.M.; et al. Real Time QRS Detection Based on M-ary Likelihood Ratio Test on the DFT Coefficients. Plos One, 9(10): e110629 (2014). [http://hdl.handle.net/10481/33852]
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