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一种用于生成合成心音图信号的动力学模型。

A dynamical model for generating synthetic Phonocardiogram signals.

作者信息

Almasi Ali, Shamsollahi Mohammad B, Senhadji Lotfi

机构信息

Biomedical Signal and Image Processing Laboratory, School of Electrical Engineering, Sharif University of Technology, Tehran, Iran.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:5686-9. doi: 10.1109/IEMBS.2011.6091376.

DOI:10.1109/IEMBS.2011.6091376
PMID:22255630
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3390312/
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.

摘要

在本文中，我们介绍了一种用于心音图（PCG）信号的动态模型，该模型能够生成逼真的合成PCG信号。此模型基于PCG形态，由三个常微分方程组成，可表示正常PCG信号的各种形态。PCG形态的逐搏变化显著，因此模型参数逐搏不同。该模型受McSharry等人提出的心电图（ECG）动态模型的启发，可用于评估生物医学信号处理技术。

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