title: Parametrical modelling of a premature ventricular contraction ECG beat: comparison with the normal case.
abstract: The aim of this paper is to analyse a parametrical Gaussian kernel based model. The proposed model is tested on two types of electrocardiogram (ECG) beats, the normal case beat and the premature ventricular contraction (PVC) one. Basically, the model is constituted of N Gaussians where their corresponding parameters are estimated by optimising a specific criterion. The modelling technique has been validated using MIT/BIH databases. As a result of this study, we show that a normal beat can be modelled using 18 parameters and only 15 parameters are needed to reconstruct the PVC one.
authors.affiliation: Laboratoire Images, Signaux et Systèmes Intelligents (LISSI EA 3956), Université Paris XII Val de Marne, 61 Avenue du Général de Gaulle, 94010 Créteil, France.
authors.forename: Lina
authors.initials: L
authors.lastname: El Khansa
authors.forename: Amine
authors.initials: A
authors.lastname: Naït-Ali
mesh_terms: D003198:Computer Simulation; D004562:Electrocardiography / Q000706:statistics & numerical data*; D006801:Humans; D008955:Models, Cardiovascular; D015233:Models, Statistical; D012016:Reference Values; D012815:Signal Processing, Computer-Assisted; D018879:Ventricular Premature Complexes / Q000503:physiopathology*