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ECG Imaging to Detect the Site of Ventricular Ischemia Using Torso Electrodes: A Computational Study

Electrocardiography provides some information useful for ischemic diagnosis. However, more recently there has been substantial growth in the area of ECG imaging, which by solving the inverse problem of electrocardiography aims to produce high-resolution mapping of the electrical and magnetic dynamic...

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Autores principales: Kara, Vinay, Ni, Haibo, Perez Alday, Erick Andres, Zhang, Henggui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378918/
https://www.ncbi.nlm.nih.gov/pubmed/30804799
http://dx.doi.org/10.3389/fphys.2019.00050
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author Kara, Vinay
Ni, Haibo
Perez Alday, Erick Andres
Zhang, Henggui
author_facet Kara, Vinay
Ni, Haibo
Perez Alday, Erick Andres
Zhang, Henggui
author_sort Kara, Vinay
collection PubMed
description Electrocardiography provides some information useful for ischemic diagnosis. However, more recently there has been substantial growth in the area of ECG imaging, which by solving the inverse problem of electrocardiography aims to produce high-resolution mapping of the electrical and magnetic dynamics of the heart. Most inverse studies use the full resolution of the body surface potential (BSP) to reconstruct the epicardial potentials, however using a limited number of torso electrodes to interpolate the BSP is more clinically relevant and has an important effect on the reconstruction which must be quantified. A circular ischemic lesion on the right ventricle lateral wall 27 mm in radius is reconstructed using three Tikhonov methods along with 6 different electrode configurations ranging from 32 leads to 1,024 leads. The 2nd order Tikhonov solution performed the most accurately (~80% lesion identified) followed by the 1st (~50% lesion identified) and then the 0 order Tikhonov solution performed the worst with a maximum of ~30% lesion identified regardless of how many leads were used. With an increasing number of leads the solution produces less error, and the error becomes more localised around the lesion for all three regularisation methods. In noisy conditions, the relative performance gap of the 1st and 2nd order Tikhonov solutions was reduced, and determining an accurate regularisation parameter became relatively more difficult. Lesions located on the left ventricle walls were also able to be identified but comparatively to the right ventricle lateral wall performed marginally worse with lesions located on the interventricular septum being able to be indicated by the reconstructions but not successfully identified against the error. The quality of reconstruction was found to decrease as the lesion radius decreased, with a lesion radius of <20 mm becoming difficult to correctly identify against the error even when using >512 torso electrodes.
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spelling pubmed-63789182019-02-25 ECG Imaging to Detect the Site of Ventricular Ischemia Using Torso Electrodes: A Computational Study Kara, Vinay Ni, Haibo Perez Alday, Erick Andres Zhang, Henggui Front Physiol Physiology Electrocardiography provides some information useful for ischemic diagnosis. However, more recently there has been substantial growth in the area of ECG imaging, which by solving the inverse problem of electrocardiography aims to produce high-resolution mapping of the electrical and magnetic dynamics of the heart. Most inverse studies use the full resolution of the body surface potential (BSP) to reconstruct the epicardial potentials, however using a limited number of torso electrodes to interpolate the BSP is more clinically relevant and has an important effect on the reconstruction which must be quantified. A circular ischemic lesion on the right ventricle lateral wall 27 mm in radius is reconstructed using three Tikhonov methods along with 6 different electrode configurations ranging from 32 leads to 1,024 leads. The 2nd order Tikhonov solution performed the most accurately (~80% lesion identified) followed by the 1st (~50% lesion identified) and then the 0 order Tikhonov solution performed the worst with a maximum of ~30% lesion identified regardless of how many leads were used. With an increasing number of leads the solution produces less error, and the error becomes more localised around the lesion for all three regularisation methods. In noisy conditions, the relative performance gap of the 1st and 2nd order Tikhonov solutions was reduced, and determining an accurate regularisation parameter became relatively more difficult. Lesions located on the left ventricle walls were also able to be identified but comparatively to the right ventricle lateral wall performed marginally worse with lesions located on the interventricular septum being able to be indicated by the reconstructions but not successfully identified against the error. The quality of reconstruction was found to decrease as the lesion radius decreased, with a lesion radius of <20 mm becoming difficult to correctly identify against the error even when using >512 torso electrodes. Frontiers Media S.A. 2019-02-11 /pmc/articles/PMC6378918/ /pubmed/30804799 http://dx.doi.org/10.3389/fphys.2019.00050 Text en Copyright © 2019 Kara, Ni, Perez Alday and Zhang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Kara, Vinay
Ni, Haibo
Perez Alday, Erick Andres
Zhang, Henggui
ECG Imaging to Detect the Site of Ventricular Ischemia Using Torso Electrodes: A Computational Study
title ECG Imaging to Detect the Site of Ventricular Ischemia Using Torso Electrodes: A Computational Study
title_full ECG Imaging to Detect the Site of Ventricular Ischemia Using Torso Electrodes: A Computational Study
title_fullStr ECG Imaging to Detect the Site of Ventricular Ischemia Using Torso Electrodes: A Computational Study
title_full_unstemmed ECG Imaging to Detect the Site of Ventricular Ischemia Using Torso Electrodes: A Computational Study
title_short ECG Imaging to Detect the Site of Ventricular Ischemia Using Torso Electrodes: A Computational Study
title_sort ecg imaging to detect the site of ventricular ischemia using torso electrodes: a computational study
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378918/
https://www.ncbi.nlm.nih.gov/pubmed/30804799
http://dx.doi.org/10.3389/fphys.2019.00050
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