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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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/ |
work_keys_str_mv |
AT tatsuhitonakane forwardelectrocardiogrammodelingbysmalldipolesbasedonwholebodyelectricfieldanalysis AT takahiroito forwardelectrocardiogrammodelingbysmalldipolesbasedonwholebodyelectricfieldanalysis AT nobuakimatsuura forwardelectrocardiogrammodelingbysmalldipolesbasedonwholebodyelectricfieldanalysis AT hiroyoshitogo forwardelectrocardiogrammodelingbysmalldipolesbasedonwholebodyelectricfieldanalysis AT akimasahirata forwardelectrocardiogrammodelingbysmalldipolesbasedonwholebodyelectricfieldanalysis |
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1724189768468660224 |