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2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

DOI: 10.1109/iembs.2011.6091376

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A dynamical model for generating synthetic Phonocardiogram signals.

Journal article published in 2011 by Ali Almasi, Mohammad-Bagher Shamsollahi, Lotfi Senhadji ORCID
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This paper is available in a repository.

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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.