基于McSharry数学模型的心律失常与正常心电图信号的比较研究。

Q3 Biochemistry, Genetics and Molecular Biology
Pascalin Tiam Kapen, Serge Urbain Kouam Kouam, Ghislain Tchuen
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引用次数: 5

摘要

本文采用四阶龙格-库塔法求解McSharry数学模型(2003),对8种心律失常(窦性心动过缓、结性心动过缓、心动过速、扑动、房性心动过速、室性心动过速、左支传导阻滞、右支传导阻滞)的合成心电图信号(SECG)进行了数值计算。将其与正常心电图信号进行比较。事实上,这些心律失常的心电图(ECG)信号的可视化分析被用来为McSharry数学模型中的参数提供合适的值。数值模拟结果表明,模拟结果与实际心电信号吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A comparative study between normal electrocardiogram signal and those of some cardiac arrhythmias based on McSharry mathematical model.

In this paper, synthetic electrocardiogram signals (SECG) of eight cardiac arrhythmias (sinus bradycardia, junctional bradycardia, tachycardia, flutter, atrial extrasystole, ventricular extrasystole, left branch block and right branch block) are obtained numerically by solving the McSharry mathematical model (2003) based on three coupled ordinary differential equations with the fourth-order Runge-Kutta method. They are compared with normal electrocardiogram signal. Indeed, visual analysis of a section of electrocardiogram (ECG) signals of these arrhythmias was used to suggest suitable values for the parameters in the McSharry mathematical model. Results from numerical simulation showed a good agreement between the simulation results and the real cardiac arrhythmias ECG signals.

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来源期刊
CiteScore
2.00
自引率
0.00%
发文量
0
审稿时长
6-12 weeks
期刊介绍: Australasian Physical & Engineering Sciences in Medicine (APESM) is a multidisciplinary forum for information and research on the application of physics and engineering to medicine and human physiology. APESM covers a broad range of topics that include but is not limited to: - Medical physics in radiotherapy - Medical physics in diagnostic radiology - Medical physics in nuclear medicine - Mathematical modelling applied to medicine and human biology - Clinical biomedical engineering - Feature extraction, classification of EEG, ECG, EMG, EOG, and other biomedical signals; - Medical imaging - contributions to new and improved methods; - Modelling of physiological systems - Image processing to extract information from images, e.g. fMRI, CT, etc.; - Biomechanics, especially with applications to orthopaedics. - Nanotechnology in medicine APESM offers original reviews, scientific papers, scientific notes, technical papers, educational notes, book reviews and letters to the editor. APESM is the journal of the Australasian College of Physical Scientists and Engineers in Medicine, and also the official journal of the College of Biomedical Engineers, Engineers Australia and the Asia-Oceania Federation of Organizations for Medical Physics.
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