title: A dynamical model for generating synthetic Phonocardiogram signals.
abstract: In this paper we introduce a dynamical model for Phonocardiogram (PCG) signal which is capable of generating realistic synthetic PCG signals. This model is based on PCG morphology and consists of three ordinary differential equations and can represent various morphologies of normal PCG signals. Beat-to-beat variation in PCG morphology is significant so model parameters vary from beat to beat. This model is inspired of Electrocardiogram (ECG) dynamical model proposed by McSharry et al. and can be employed to assess biomedical signal processing techniques.
authors.affiliation: Biomedical Signal and Image Processing Laboratory, School of Electrical Engineering, Sharif University of Technology, Tehran, Iran. a_almasi@ee.sharif.edu
authors.forename: Ali
authors.initials: A
authors.lastname: Almasi
authors.forename: Mohammad B
authors.initials: MB
authors.lastname: Shamsollahi
authors.forename: Lotfi
authors.initials: L
authors.lastname: Senhadji
mesh_terms: D003198:Computer Simulation; D004562:Electrocardiography / Q000379:methods*; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008955:Models, Cardiovascular; D010701:Phonocardiography / Q000379:methods*; D013018:Sound Spectrography / Q000379:methods*