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ECG delineation using a piecewise Gaussian derivative model with parameters estimated from scale-dependent algebraic expressions | IEEE Conference Publication | IEEE Xplore

ECG delineation using a piecewise Gaussian derivative model with parameters estimated from scale-dependent algebraic expressions


Abstract:

Automatic methods for the detection of characteristic points in electrocardiography signals support cardiologists in assessing the state of a patient's cardiovascular sys...Show More

Abstract:

Automatic methods for the detection of characteristic points in electrocardiography signals support cardiologists in assessing the state of a patient's cardiovascular system. In this work, we apply a general method for parameter estimation to the specific problem of QRS complex, P-, and T-wave delineation, i.e. the computation of their on- and offset points in time. As input the method expects a piecewise Gaussian derivative model that is potentially a good fit for the morphology of electrocardiography waves, but a thorough investigation is needed. The model parameters are estimated by substituting zero-crossings of the input signals' scale-space representation into scale-dependent algebraic expressions and are further refined by fitting the model to the electrocardiography signal in a least-squares sense. Validating the results on the QT database and comparing to state-of-the-art algorithms shows smallest mean error for 3 out of 9 fiducial points and for the others only small differences to the respective best competitors.
Date of Conference: 23-27 July 2019
Date Added to IEEE Xplore: 07 October 2019
ISBN Information:

ISSN Information:

PubMed ID: 31947131
Conference Location: Berlin, Germany

References

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