Using the Initial Vector from Surface Electrocardiogram to Distinguish the Site of Outflow Tract Tachycardia-Reference-Cited by-同舟云学术

Using the Initial Vector from Surface Electrocardiogram to Distinguish the Site of Outflow Tract Tachycardia

Published:2007-07 Issue:7 Volume:30 Page:891-898
ISSN:0147-8389
Container-title:Pacing and Clinical Electrophysiology
language:en
Short-container-title:Pacing Clin Electro

Author:

YANG YANFEI,SAENZ LUIS C.,VAROSY PAUL D.,BADHWAR NITISH,JUSTIN H. TAN,KILICASLAN FETHI,KEUNG EDMUND C.,NATALE ANDREA,MARROUCHE NASSIR F.,SCHEINMAN MELVIN M.

Publisher

Wiley

Subject

Cardiology and Cardiovascular Medicine,General Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1540-8159.2007.00777.x/fullpdf

Reference18 articles.

1. Long-term results of catheter ablation of idiopathic right ventricular tachycardia.

2. Relation between efficacy of radiofrequency catheter ablation and site of origin of idiopathic ventricular tachycardia

3. Adenosine-sensitive ventricular tachycardia. Clinical characteristics and response to catheter ablation.

4. Radiofrequency catheter ablation as a cure for idiopathic tachycardia of both left and eight ventricular origin

5. Idiopathic Right Ventricular Outflow Tract Tachycardia: A Clinical Approach

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prognostic value of physical activity, gender, and age versus ECG in localizing the idiopathic ventricular outflow tract arrhythmias;Balneo and PRM Research Journal;2024-06-21

2. Electrocardiographic Characteristics, Identification, and Management of Frequent Premature Ventricular Contractions;Diagnostics;2023-09-29

3. Identifying Premature Ventricular Complexes from Outflow Tracts Based on PVC Configuration: A Machine Learning Approach;Journal of Clinical Medicine;2023-08-26

4. Localization of outflow ventricular arrhythmias from the electrocardiogram: educated guess, science, or both?;Journal of Interventional Cardiac Electrophysiology;2023-06-23

5. Development of a Visualization Deep Learning Model for Classifying Origins of Ventricular Arrhythmias;Circulation Journal;2022-07-25