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Finite Element Simulation Study of the Localization of Bioelectric Current Source |
ZHANG Ju-cheng1, WANG Zhi-kang1, LOU Hai-fang1, ZHANG Ning2, MA Miao-qun2 |
1.Department of Clinical Engineering, the Second Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang Province Hangzhou 310009, China; 2. Lishui People's Hospital, Zhejiang Province Lishui 323000, China |
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Abstract Atrial fibrillation (AF) is a common cardiac rhythm disturbance that increases in prevalence with advancing age. To get the real time location of the related key lesions is of great significance to treat and abolish AF. Two-dimensional finite element method was adopted to simulate the lead field. Based on the acoustoelectric effect and the reciprocal theory, the source density of the current field was calculated, thus determining the precise location of the current source and sink. Results show that the simulated positioning precision of current source and sink is within submillimetre only using a pair of recording electrode. This work implies that it is promising to locate the key lesions from messy fibrillation using the acoustoelectric effect method.
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Received: 20 February 2017
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Fund:Grant sponsor:Science Technology Department Program of Zhejiang Province; grant number: 2014C37074 |
Corresponding Authors:
LOU Hai-fang. E-mail: louhf-2005@163.com
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[1] January CT, Wann LS, Alpert JS, et al. 2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation[J]. Journal of the American College of Cardiology, 2014,64(21): 1-76. [2] McManus DD, Rienstra M, Benjamin EJ.An update on the prognosis of patients with atrial fibrillation[J]. Circulation, 2012,126:143-146. [3] Ott A, Breteler MM, de Bruyne MC, et al. Atrial fibrillation and dementia in a population-based study: The Rotterdam Study[J]. Stroke, 1997, 28:316-321. [4] GoAS, MozaffarianD, RogerVL, et al.Heart disease and stroke statistics-2014 update: a report from the American Heart Association [J]. Circulation, 2014, 129:28-29. [5] AlonsoA, AgarwalSK, SolimanEZ, et al. Incidence of atrial fibrillation in whites and African-Americans: the Atherosclerosis Risk in Communities (ARIC) study [J]. American Heart Journal, 2009,158:111-117. [6] MillerPS, AnderssonFL, KalraL. Are cost benefits of anticoagulation for stroke prevention in atrial fibrillation underestimated [J]? Stroke, 2005, 36:360-366. [7] StewartS, HartCL, HoleDJ, et al. A population-based study of the long-term risks associated with atrial fibrillation: 20-year follow-up of the Renfrew/Paisley study[J]. The American Journal of Medicine,2002, 113:359-364. [8] Gong YL. Atrial cell modeling and preliminary simulation study of atrial fibrillation ablation[D]. Hangzhou: Zhejiang University, 2012. [9] Jiang MF. Study of regularization methods and dynamic electrocardiography inverse problem solutions[D]. Hangzhou: Zhejiang University, 2008. [10] LavandierB, Jossinet J, Cathignol D. Experimental measurement of the acousto-electric interaction signal in saline solution[J]. Ultrasonics, 2000,38: 607-613. [11] Li Q, Olafsson R, Ingram P, et al. Measuring the acoustoelectric interaction constant using ultrasound current source density imaging[J]. Physics in Medicine and Biology, 2012, 57: 5929-5941. [12] Yang RH, Li X, Song AG, et al. Three-dimensional noninvasive ultrasound Joule heat tomography based on the acousto-electric effect using unipolar pulses: a simulation study[J]. Physics in Medicine and Biology, 2012,57(22): 7689-7708. [13] Olafsson R, Witte RS, Huang SW, et al. Ultrasound current source density imaging[J]. IEEE Transactions on Biomedical Engineering, 2008, 55(7):1840-1848. [14] Zhang N, Zhang JC, Xu WL, et al. Localization of bioelectric current source based on acousto-electric effect[J]. High Voltage Engineering, 2014, 40(12): 3768-3772. |
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