Forward Electrocardiogram Modeling by Small Dipoles Based on Whole-Body Electric Field Analysis

Mathematical modeling of detailed cardiac function has become possible in recent years. Computer simulations have been conducted to reproduce electrical phenomena of the heart. However, substantial effort and computational cost are required to construct an electrocardiogram (ECG) generation model ba...

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Main Authors: Tatsuhito Nakane, Takahiro Ito, Nobuaki Matsuura, Hiroyoshi Togo, Akimasa Hirata
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8819882/
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spelling doaj-1e7b22b38c1c4de2a0ac6a1d03a798752021-03-29T23:17:32ZengIEEEIEEE Access2169-35362019-01-01712346312347210.1109/ACCESS.2019.29384098819882Forward Electrocardiogram Modeling by Small Dipoles Based on Whole-Body Electric Field AnalysisTatsuhito Nakane0Takahiro Ito1Nobuaki Matsuura2Hiroyoshi Togo3Akimasa Hirata4https://orcid.org/0000-0001-8336-1140Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya, JapanDepartment of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya, JapanNTT Device Innovation Center, NTT Corporation, Kanagawa, JapanNTT Device Innovation Center, NTT Corporation, Kanagawa, JapanDepartment of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya, JapanMathematical modeling of detailed cardiac function has become possible in recent years. Computer simulations have been conducted to reproduce electrical phenomena of the heart. However, substantial effort and computational cost are required to construct an electrocardiogram (ECG) generation model based on multiple parameters of cardiac tissue. In addition, most previous studies simplified the anatomy and the region of the body considered. Such modeling may not be applicable for the system design of wearable sensing in ECG. In this study, we propose a computational model of ECG generation with multiple electric dipoles to reduce the complexity and computational cost of ECG modeling. In this study, first, the electrical potential distribution on the surface of an anatomically detailed model was computed with volume conductor (electrical) analysis. We subsequently simulated the propagation of the electrical excitation of the heart by sequentially placing electric dipoles according to conduction velocity. Our computational results demonstrate the effectiveness of the ECG model using electric dipoles in comparison with measurement and the necessity to discuss the ground in a 12-lead ECG for the whole-body model. The required computational time was less than 30 min even in a workstation (2 CPUs, 28 cores, and 2.20 GHz), i.e., significantly less than those of previous studies.https://ieeexplore.ieee.org/document/8819882/Electrocardiographyelectromagnetic modelingfinite difference methods
collection DOAJ
language English
format Article
sources DOAJ
author Tatsuhito Nakane
Takahiro Ito
Nobuaki Matsuura
Hiroyoshi Togo
Akimasa Hirata
spellingShingle Tatsuhito Nakane
Takahiro Ito
Nobuaki Matsuura
Hiroyoshi Togo
Akimasa Hirata
Forward Electrocardiogram Modeling by Small Dipoles Based on Whole-Body Electric Field Analysis
IEEE Access
Electrocardiography
electromagnetic modeling
finite difference methods
author_facet Tatsuhito Nakane
Takahiro Ito
Nobuaki Matsuura
Hiroyoshi Togo
Akimasa Hirata
author_sort Tatsuhito Nakane
title Forward Electrocardiogram Modeling by Small Dipoles Based on Whole-Body Electric Field Analysis
title_short Forward Electrocardiogram Modeling by Small Dipoles Based on Whole-Body Electric Field Analysis
title_full Forward Electrocardiogram Modeling by Small Dipoles Based on Whole-Body Electric Field Analysis
title_fullStr Forward Electrocardiogram Modeling by Small Dipoles Based on Whole-Body Electric Field Analysis
title_full_unstemmed Forward Electrocardiogram Modeling by Small Dipoles Based on Whole-Body Electric Field Analysis
title_sort forward electrocardiogram modeling by small dipoles based on whole-body electric field analysis
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description Mathematical modeling of detailed cardiac function has become possible in recent years. Computer simulations have been conducted to reproduce electrical phenomena of the heart. However, substantial effort and computational cost are required to construct an electrocardiogram (ECG) generation model based on multiple parameters of cardiac tissue. In addition, most previous studies simplified the anatomy and the region of the body considered. Such modeling may not be applicable for the system design of wearable sensing in ECG. In this study, we propose a computational model of ECG generation with multiple electric dipoles to reduce the complexity and computational cost of ECG modeling. In this study, first, the electrical potential distribution on the surface of an anatomically detailed model was computed with volume conductor (electrical) analysis. We subsequently simulated the propagation of the electrical excitation of the heart by sequentially placing electric dipoles according to conduction velocity. Our computational results demonstrate the effectiveness of the ECG model using electric dipoles in comparison with measurement and the necessity to discuss the ground in a 12-lead ECG for the whole-body model. The required computational time was less than 30 min even in a workstation (2 CPUs, 28 cores, and 2.20 GHz), i.e., significantly less than those of previous studies.
topic Electrocardiography
electromagnetic modeling
finite difference methods
url https://ieeexplore.ieee.org/document/8819882/
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AT takahiroito forwardelectrocardiogrammodelingbysmalldipolesbasedonwholebodyelectricfieldanalysis
AT nobuakimatsuura forwardelectrocardiogrammodelingbysmalldipolesbasedonwholebodyelectricfieldanalysis
AT hiroyoshitogo forwardelectrocardiogrammodelingbysmalldipolesbasedonwholebodyelectricfieldanalysis
AT akimasahirata forwardelectrocardiogrammodelingbysmalldipolesbasedonwholebodyelectricfieldanalysis
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