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Received: 2017-02-02

Revision Accepted: 2017-03-14

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Journal of Zhejiang University SCIENCE B 2018 Vol.19 No.1 P.49-56

http://doi.org/10.1631/jzus.B1700029


Electrocardiogram (ECG) patterns of left anterior fascicular block and conduction impairment in ventricular myocardium: a whole-heart model-based simulation study


Author(s):  Yuan Gao, Ling Xia, Ying-Lan Gong, Ding-Chang Zheng

Affiliation(s):  Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   xialing@zju.edu.cn, yinglangong@zju.edu.cn

Key Words:  Electrocardiogram (ECG), Simulation, Heart model, Left anterior fascicular block (LAFB)


Yuan Gao, Ling Xia, Ying-Lan Gong, Ding-Chang Zheng. Electrocardiogram (ECG) patterns of left anterior fascicular block and conduction impairment in ventricular myocardium: a whole-heart model-based simulation study[J]. Journal of Zhejiang University Science B, 2018, 19(1): 49-56.

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author="Yuan Gao, Ling Xia, Ying-Lan Gong, Ding-Chang Zheng",
journal="Journal of Zhejiang University Science B",
volume="19",
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pages="49-56",
year="2018",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B1700029"
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%T Electrocardiogram (ECG) patterns of left anterior fascicular block and conduction impairment in ventricular myocardium: a whole-heart model-based simulation study
%A Yuan Gao
%A Ling Xia
%A Ying-Lan Gong
%A Ding-Chang Zheng
%J Journal of Zhejiang University SCIENCE B
%V 19
%N 1
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%D 2018
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B1700029

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T1 - Electrocardiogram (ECG) patterns of left anterior fascicular block and conduction impairment in ventricular myocardium: a whole-heart model-based simulation study
A1 - Yuan Gao
A1 - Ling Xia
A1 - Ying-Lan Gong
A1 - Ding-Chang Zheng
J0 - Journal of Zhejiang University Science B
VL - 19
IS - 1
SP - 49
EP - 56
%@ 1673-1581
Y1 - 2018
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.B1700029


Abstract: 
left anterior fascicular block (LAFB) is a heart disease identifiable from an abnormal electrocardiogram (ECG). It has been reported that LAFB is associated with an increased risk of heart failure. Non-specific intraventricular conduction delay due to the lesions of the conduction bundles and slow cell to cell conduction has also been considered as another cause of heart failure. Since the location and mechanism of conduction delay have notable variability between individual patients, we hypothesized that the impaired conduction in the ventricular myocardium may lead to abnormal ECGs similar to LAFB ECG patterns. To test this hypothesis, based on a computer model with a three dimensional whole-heart anatomical structure, we simulated the cardiac exciting sequence map and 12-lead ECG caused by the block in the left anterior fascicle and by the slowed conduction velocity in the ventricular myocardium. The simulation results showed that the typical LAFB ECG patterns can also be observed from cases with slowed conduction velocity in the ventricular myocardium. The main differences were the duration of QRS and wave amplitude. In conclusion, our simulations provide a promising starting point to further investigate the underlying mechanism of heart failure with LAFB, which would provide a potential reference for LAFB diagnosis.

左前分支传导阻滞与心室肌传导障碍心电图研究:基于全心脏模型仿真

目的:探究左前分支传导阻滞与心室肌传导速度减慢的体表心电图之间相似之处,并探究其机理.
创新点:通过心电图仿真,证明了左心室前壁传导速度减慢会形成类似左前分支阻滞的波形,并结合仿真心脏电兴奋传导时序,对其机理进行了合理解释.
方法:将真实人体心脏通过64位螺旋计算机断层扫描(CT),进行心脏解剖结构建模.通过单域模型仿真出全心脏电兴奋的传导时序,然后利用边界元法计算出各时刻人体体表电位,进而计算出十二导联心电图.
结论:左心室前壁心肌细胞传导速度的减慢,会形成类似左前分支阻滞的心电图波形,其主要区别是QRS波群的时间跨度以及幅度大小.

关键词:心电图;仿真;心脏建模;左前分支阻滞

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]Acunzo RS, Konopka IV, Sanchez RA, et al., 2013. Right bundle branch block and middle septal fiber block with or without left anterior fascicular block manifested as aberrant conduction in apparent healthy individuals: electro-vectorcardiographic characterization. J Electrocardiol, 46(2):167-172.

[2]Akar FG, Spragg DD, Tunin RS, et al., 2004. Mechanisms underlying conduction slowing and arrhythmogenesis in nonischemic dilated cardiomyopathy. Circ Res, 95(7):717-725.

[3]Auricchio A, Fantoni C, Regoli F, et al., 2004. Characterization of left ventricular activation in patients with heart failure and left bundle-branch block. Circulation, 109(9):1133-1139.

[4]Bacharova L, Szathmary V, Mateasik A, 2011. Electrocardiographic patterns of left bundle-branch block caused by intraventricular conduction impairment in working myocardium: a model study. J Electrocardiol, 44(6):768-778.

[5]Bacharova L, Szathmary V, Mateasik A, 2013. QRS complex and ST segment manifestations of ventricular ischemia: the effect of regional slowing of ventricular activation. J Electrocardiol, 46(6):497-504.

[6]Bacharova L, Szathmary V, Svehlikova J, et al., 2015. The effect of conduction velocity slowing in left ventricular midwall on the QRS complex morphology: a simulation study. J Electrocardiol, 49(2):164.

[7]Courtemanche M, Ramirez RJ, Nattel S, 1998. Ionic mechanisms underlying human atrial action potential properties: insights from a mathematical model. Am J Physiol, 275(2):301-321.

[8]Deng D, Jiao P, Ye X, et al., 2012a. An image-based model of the whole human heart with detailed anatomical structure and fiber orientation. Comput Math Methods Med, 2012(3):449-461.

[9]Deng D, Gong Y, Shou G, et al., 2012b. Simulation of biatrial conduction via different pathways during sinus rhythm with a detailed human atrial model. J Zhejiang Univ-Sci B (Biomed & Biotechnol), 13(9):676-694.

[10]Durrer D, Dam RTV, Freud GE, et al., 1970. Total excitation of the isolated human heart. Circulation, 41(6):899-912.

[11]Elizari MV, Acunzo RS, Ferreiro M, 2007. Hemiblocks revisited. Circulation, 115(9):1154-1163.

[12]Eschalier R, Ploux S, Ritter P, et al., 2015. Nonspecific intraventricular conduction delay: definitions, prognosis, and implications for cardiac resynchronization therapy. Heart Rhythm, 12(5):1071-1079.

[13]Lu Q, Lu X, Tan X, 2015. The clinic significance and prognosis of IRBBB+LAFB and LAFB in organic heart disease. Chin J Health Care Med, 17(3):188-192.

[14]Mandyam MC, Soliman EZ, Heckbert SR, et al., 2013. Long-term outcomes of left anterior fascicular block in the absence of overt cardiovascular disease. JAMA, 309(15):1587-1588.

[15]Milliken JA, 1983. Isolated and complicated left anterior fascicular block: a review of suggested electrocardiographic criteria. J Electrocardiol, 16(2):199-211.

[16]Nguyen KT, Vittinghoff E, Dewland TA, et al., 2016. Electrocardiographic predictors of incident atrial fibrillation. Am J Cardiol, 118(5):714-719.

[17]Nielsen JB, Strandberg SE, Pietersen A, et al., 2014. Left anterior fascicular block and the risk of cardiovascular outcomes. JAMA Int Med, 174(6):1001-1003.

[18]Prochnau D, Kuehnert H, Heinke M, et al., 2011. Left ventricular lead position and nonspecific conduction delay are predictors of mortality in patients during cardiac resynchronization therapy. Can J Cardiol, 27(3):363-368.

[19]Shou G, Xia L, Jiang M, et al., 2007. Forward and Inverse Solutions of Electrocardiography Problem Using an Adaptive BEM Method, Vol 4466. Springer, Berlin, Heidelberg.

[20]ten Tusscher KHWJ, Noble D, Noble PJ, et al., 2004. A model for human ventricular tissue. Am J Physiol Heart-Circulat Physiol, 286(4):H1573-H1589.

[21]Varma N, Jia P, Rudy Y, 2007. Electrocardiographic imaging of patients with heart failure with left bundle branch block and response to cardiac resynchronization therapy. J Electrocardiol, 40(6 Suppl):S174-S178.

[22]Xia L, Huo M, Wei Q, et al., 2006. Electrodynamic heart model construction and ECG simulation. Methods Inform Med, 45(5):564-573.

[23]Zhang Y, Xia L, Gong Y, et al., 2007. Parallel solution in simulation of cardiac excitation anisotropic propagation. In: Sachse FB, Seemann G (Eds.), Functional Imaging and Modeling of the Heart. FIMH 2007. Lecture Notes in Computer Science, Vol 4466. Springer, Berlin, Heidelberg, p.170-179.

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