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

Górriz JM, Ramírez J, Olivares A, Padilla P, Puntonet CG, Cantón M, Laguna P - PLoS ONE (2014)

Bottom Line: This paper shows an adaptive statistical test for QRS detection of electrocardiography (ECG) signals.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.

View Article: PubMed Central - PubMed

Affiliation: Department of Signal Theory, Telematics and Communications, CITIC, University of Granada, Granada, Spain.

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.

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Related in: MedlinePlus

Zoom on the ROC curves by averaging all the tapes in the database.Results using the same observation interval are plotted for the two MAP strategies. The dependence of the operation point  on the noise level affects the performance of all detectors.
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pone-0110629-g007: Zoom on the ROC curves by averaging all the tapes in the database.Results using the same observation interval are plotted for the two MAP strategies. The dependence of the operation point on the noise level affects the performance of all detectors.

Mentions: Nevertheless, figure 7 shows the versus the false alarm rate () for all the records of the MIT-BIH database under several noise conditions. Additionally, to help the interpretation of the results, table 2 shows the Area Under Curve (AUC) for the ROC curves in figure 7. The proposed method yields better results than the previous MAP method for M = 7 and similar results for other detector configurations. The improvements of all MAP detectors are provided by the robustness of the decision rule of these statistical methods that are developed with a suitable design.


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

Górriz JM, Ramírez J, Olivares A, Padilla P, Puntonet CG, Cantón M, Laguna P - PLoS ONE (2014)

Zoom on the ROC curves by averaging all the tapes in the database.Results using the same observation interval are plotted for the two MAP strategies. The dependence of the operation point  on the noise level affects the performance of all detectors.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4214710&req=5

pone-0110629-g007: Zoom on the ROC curves by averaging all the tapes in the database.Results using the same observation interval are plotted for the two MAP strategies. The dependence of the operation point on the noise level affects the performance of all detectors.
Mentions: Nevertheless, figure 7 shows the versus the false alarm rate () for all the records of the MIT-BIH database under several noise conditions. Additionally, to help the interpretation of the results, table 2 shows the Area Under Curve (AUC) for the ROC curves in figure 7. The proposed method yields better results than the previous MAP method for M = 7 and similar results for other detector configurations. The improvements of all MAP detectors are provided by the robustness of the decision rule of these statistical methods that are developed with a suitable design.

Bottom Line: This paper shows an adaptive statistical test for QRS detection of electrocardiography (ECG) signals.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.

View Article: PubMed Central - PubMed

Affiliation: Department of Signal Theory, Telematics and Communications, CITIC, University of Granada, Granada, Spain.

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.

Show MeSH
Related in: MedlinePlus