Real Time QRS Detection Based on M-ary Likelihood Ratio Test on the DFT Coefficients
Identifieur interne : 000267 ( Main/Exploration ); précédent : 000266; suivant : 000268Real Time QRS Detection Based on M-ary Likelihood Ratio Test on the DFT Coefficients
Auteurs : Juan Manuel G Rriz [Espagne] ; Javier Ramírez [Espagne] ; Alberto Olivares [Espagne] ; Pablo Padilla [Espagne] ; Carlos G. Puntonet [Espagne] ; Manuel Cant N [Espagne] ; Pablo Laguna [Espagne]Source :
- PLoS ONE [ 1932-6203 ] ; 2014.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- methods : Electrocardiography.
- Humans, Models, Theoretical.
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
Url:
DOI: 10.1371/journal.pone.0110629
PubMed: 25356628
PubMed Central: 4214710
Affiliations:
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Puntonet</name><affiliation wicri:level="4"><nlm:aff id="aff2"><addr-line>Department Computer Architecture and Computer Technology, CITIC, University of Granada, Granada, Spain</addr-line></nlm:aff><country xml:lang="fr">Espagne</country><wicri:regionArea>Department Computer Architecture and Computer Technology, CITIC, University of Granada, Granada</wicri:regionArea><orgName type="university">Université de Grenade</orgName><placeName><settlement type="city">Grenade (Espagne)</settlement><region nuts="2" type="region">Andalousie</region></placeName></affiliation></author><author><name sortKey="Cant N, Manuel" sort="Cant N, Manuel" uniqKey="Cant N M" first="Manuel" last="Cant N">Manuel Cant N</name><affiliation wicri:level="1"><nlm:aff id="aff3"><addr-line>Department of Informatics, University of Almería, Almería, Spain</addr-line></nlm:aff><country xml:lang="fr">Espagne</country><wicri:regionArea>Department of Informatics, University of Almería, Almería</wicri:regionArea><wicri:noRegion>Almería</wicri:noRegion></affiliation></author><author><name sortKey="Laguna, Pablo" sort="Laguna, Pablo" uniqKey="Laguna P" first="Pablo" last="Laguna">Pablo Laguna</name><affiliation wicri:level="1"><nlm:aff id="aff4"><addr-line>Department of Electronic Engineering and Communications, University of Zaragoza, Zaragoza, Spain</addr-line></nlm:aff><country xml:lang="fr">Espagne</country><wicri:regionArea>Department of Electronic Engineering and Communications, University of Zaragoza, Zaragoza</wicri:regionArea><wicri:noRegion>Zaragoza</wicri:noRegion></affiliation></author></analytic><series><title level="j">PLoS ONE</title><idno type="eISSN">1932-6203</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Electrocardiography (methods)</term><term>Humans</term><term>Models, Theoretical</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Humains</term><term>Modèles théoriques</term><term>Électrocardiographie ()</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Electrocardiography</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Humans</term><term>Models, Theoretical</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Humains</term><term>Modèles théoriques</term><term>Électrocardiographie</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>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 <italic>Fourier domain</italic>. The motivations for proposing another detection algorithm based on maximum <italic>a posteriori</italic> (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.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Thakor, N" uniqKey="Thakor N">N Thakor</name></author><author><name sortKey="Zhu, Ys" uniqKey="Zhu Y">YS Zhu</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Kohler, Bu" uniqKey="Kohler B">BU Kohler</name></author><author><name sortKey="Hennig, C" uniqKey="Hennig C">C Hennig</name></author><author><name sortKey="Orglmeister, R" uniqKey="Orglmeister R">R Orglmeister</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Coast, D" uniqKey="Coast D">D Coast</name></author><author><name sortKey="Stern, R" uniqKey="Stern R">R Stern</name></author><author><name sortKey="Cano, G" uniqKey="Cano G">G 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