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A 12-Lead ECG database to identify origins of idiopathic ventricular arrhythmia containing 334 patients
Cardiac catheter ablation has shown the effectiveness of treating the idiopathic premature ventricular complex and ventricular tachycardia. As the most important prerequisite for successful therapy, criteria based on analysis of 12-lead ECGs are employed to reliably speculate the locations of idiopa...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7090065/ https://www.ncbi.nlm.nih.gov/pubmed/32251335 http://dx.doi.org/10.1038/s41597-020-0440-8 |
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author | Zheng, Jianwei Fu, Guohua Anderson, Kyle Chu, Huimin Rakovski, Cyril |
author_facet | Zheng, Jianwei Fu, Guohua Anderson, Kyle Chu, Huimin Rakovski, Cyril |
author_sort | Zheng, Jianwei |
collection | PubMed |
description | Cardiac catheter ablation has shown the effectiveness of treating the idiopathic premature ventricular complex and ventricular tachycardia. As the most important prerequisite for successful therapy, criteria based on analysis of 12-lead ECGs are employed to reliably speculate the locations of idiopathic ventricular arrhythmia before a subsequent catheter ablation procedure. Among these possible locations, right ventricular outflow tract and left outflow tract are the major ones. We created a new 12-lead ECG database under the auspices of Chapman University and Ningbo First Hospital of Zhejiang University that aims to provide high quality data enabling detection of the distinctions between idiopathic ventricular arrhythmia from right ventricular outflow tract to left ventricular outflow tract. The dataset contains 334 subjects who successfully underwent a catheter ablation procedure that validated the accurate origins of idiopathic ventricular arrhythmia. |
format | Online Article Text |
id | pubmed-7090065 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70900652020-03-26 A 12-Lead ECG database to identify origins of idiopathic ventricular arrhythmia containing 334 patients Zheng, Jianwei Fu, Guohua Anderson, Kyle Chu, Huimin Rakovski, Cyril Sci Data Data Descriptor Cardiac catheter ablation has shown the effectiveness of treating the idiopathic premature ventricular complex and ventricular tachycardia. As the most important prerequisite for successful therapy, criteria based on analysis of 12-lead ECGs are employed to reliably speculate the locations of idiopathic ventricular arrhythmia before a subsequent catheter ablation procedure. Among these possible locations, right ventricular outflow tract and left outflow tract are the major ones. We created a new 12-lead ECG database under the auspices of Chapman University and Ningbo First Hospital of Zhejiang University that aims to provide high quality data enabling detection of the distinctions between idiopathic ventricular arrhythmia from right ventricular outflow tract to left ventricular outflow tract. The dataset contains 334 subjects who successfully underwent a catheter ablation procedure that validated the accurate origins of idiopathic ventricular arrhythmia. Nature Publishing Group UK 2020-03-23 /pmc/articles/PMC7090065/ /pubmed/32251335 http://dx.doi.org/10.1038/s41597-020-0440-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Zheng, Jianwei Fu, Guohua Anderson, Kyle Chu, Huimin Rakovski, Cyril A 12-Lead ECG database to identify origins of idiopathic ventricular arrhythmia containing 334 patients |
title | A 12-Lead ECG database to identify origins of idiopathic ventricular arrhythmia containing 334 patients |
title_full | A 12-Lead ECG database to identify origins of idiopathic ventricular arrhythmia containing 334 patients |
title_fullStr | A 12-Lead ECG database to identify origins of idiopathic ventricular arrhythmia containing 334 patients |
title_full_unstemmed | A 12-Lead ECG database to identify origins of idiopathic ventricular arrhythmia containing 334 patients |
title_short | A 12-Lead ECG database to identify origins of idiopathic ventricular arrhythmia containing 334 patients |
title_sort | 12-lead ecg database to identify origins of idiopathic ventricular arrhythmia containing 334 patients |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7090065/ https://www.ncbi.nlm.nih.gov/pubmed/32251335 http://dx.doi.org/10.1038/s41597-020-0440-8 |
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