Use of an artificial neural network to localize accessory pathways of Wolff–Parkinson–White syndrome with12-lead electrocardiogram-Reference-Cited by-同舟云学术

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Use of an artificial neural network to localize accessory pathways of Wolff–Parkinson–White syndrome with12-lead electrocardiogram

Published:2005-01 Issue:4 Volume:30 Page:277-286
ISSN:1463-9238
Container-title:Medical Informatics and the Internet in Medicine
language:en
Short-container-title:Medical Informatics and the Internet in Medicine

Author:

Huang Damin,Yamauchi Kazunobu,Inden Yasuya,Yang Jun,Jiang Zheng,Ida Hiromasa,Katsuyama Kimiko,Wang Kai,Kato Ken,Kato Hiroki

Publisher

Informa UK Limited

Subject

Health Information Management,Health Informatics,General Nursing

Link

http://www.tandfonline.com/doi/pdf/10.1080/14639230500367670

Reference34 articles.

1. Catheter Ablation of Accessory Atrioventricular Pathways (Wolff–Parkinson–White Syndrome) by Radiofrequency Current

2. Diagnosis and Cure of the Wolff–Parkinson–White Syndrome or Paroxysmal Supraventricular Tachycardias during a Single Electrophysiologic Test

3. Radiofrequency catheter ablation. Safety and practicality.

4. The preexcitation syndromes

5. The localization of bypass tracts in the Wolff-Parkinson-White syndrome from the surface electrocardiogram

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1. Big Data in electrophysiology;Herzschrittmachertherapie + Elektrophysiologie;2022-02-08

2. Machine learning with convolutional neural networks for clinical cardiologists;Heart;2021-07-23

3. Applications of Machine Learning in Cardiac Electrophysiology;Arrhythmia & Electrophysiology Review;2020-08-13

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