Effect of myocardial infarction size on the simulated ECG morphology based on a 3D torso-heart model

Zhipeng Cai, Jianqing Li, Kan Luo, Zhigang Wang, Xiangyu Zhang, Jian Zhang, Chengyu Liu

    Research output: Contribution to journalConference articlepeer-review

    Abstract

    Objective: Myocardial infarction (MI) is a big threat to human health. Underlying linkage between changes in standard electrocardiography (ECG) waveforms and different MI conditions is important. A three-dimensional (3D) bidomain torso-heart model was proposed for stimulating the MI effect. In this study, we aimed to quantify the effect of MI size on the simulated ECG morphology from this model. Methods: Using a simplified 3D torso-heart model, the electrical activation of heart and its conduction were simulated. The adopted 3D torso-heart model consists of torso, lung, and the whole heart components, including atria, ventricles, and blood chambers. Simulation of MI was performed by changing the control parameters of the infarcted region. All infarcts were located in the anterior wall of the left ventricle. The effect of MI size (three sizes: 168.1, 914.8 and 2,210 mm3) on the QRS complex from the stimulated standard 12-lead ECGs was explored. Results: The results demonstrated the progressions of heart depolarization and repolarization and revealed the difference of electrical conduction between the normal and MI hearts. Compared with Q-wave amplitude ratios (QARs) and S-wave amplitude ratios (SARs), the R-wave amplitude ratios (RARs) showed their superiority in the distinguish of lesion size, as they are in sequential order with the lesion size. However, the cooperation of QARs and SARs can also help determine the size of infarcted myocardium, especially in the chest ECG leads. Significance: This study provided a quantitative analysis for the effect of MI size on the simulated standard 12-lead ECG morphology. The simulated results confirmed the changes in ECG QRS complex due to the MI changes are consistent with the clinical futures. Thus, it provides an alternative tool for understanding the inherent conduction mechanism of ECG signal.

    Original languageEnglish
    Pages (from-to)357-360
    Number of pages4
    JournalIFMBE Proceedings
    Volume68
    Issue number2
    Early online date30 May 2018
    DOIs
    Publication statusPublished - 1 Jan 2019
    EventWorld Congress on Medical Physics and Biomedical Engineering, WC 2018 - Prague, Czech Republic
    Duration: 3 Jun 20188 Jun 2018

    Keywords

    • Bidomain model
    • Electrocardiogram (ECG)
    • Myocardial infarction (MI)

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