ECG-based heart beat detection using rational functions

Acta Mathematica Academiae Paedagogicae Nyíregyháziensis

Zoltán Gilián¹ 

[1] Eötvös Loránd University

关键词: Fourier partial sum.;   

DOI  :  

学科分类：数学（综合）

来源: Academia Paedagogica Nyiregyhaziensis. Acta Mathematica

【 摘 要 】

The aim of this paper is to present a novel heart beat detection algorithm using rational modelling of ECG signals. The algorithm considers several candidate beat locations. For a given candidate a rational model is fitted to the ECG signal by means of numerical optimization and Fourier partial sums with respect to the Malmquist-Takenaka system. The resultant model parameters are used as a basis of classification. The classification is performed by an SVM classifier, which is trained on annotated ECG records of the PhysioNet database.

【 授权许可】

Unknown