Development of a Visualization Deep Learning Model for Classifying Origins of Ventricular Arrhythmias-Reference-Cited by-同舟云学术

Development of a Visualization Deep Learning Model for Classifying Origins of Ventricular Arrhythmias

Published:2022-07-25 Issue:8 Volume:86 Page:1273-1280
ISSN:1346-9843
Container-title:Circulation Journal
language:en
Short-container-title:Circ J

Author:

Nakasone Kazutaka¹,Nishimori Makoto¹,Kiuchi Kunihiko¹,Shinohara Masakazu²,Fukuzawa Koji¹,Takami Mitsuru¹,El Hamriti Mustapha³,Sommer Philipp³,Sakai Jun¹,Nakamura Toshihiro¹,Yatomi Atsusuke¹,Sonoda Yusuke¹,Takahara Hiroyuki¹,Yamamoto Kyoko¹,Suzuki Yuya¹,Tani Kenichi¹,Iwai Hidehiro¹,Nakanishi Yusuke¹,Hirata Ken-ichi¹

Affiliation:

1. Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine

2. Division of Epidemiology, Kobe University Graduate School of Medicine

3. Clinic of Electrophysiology, Heart and Diabetes Center NRW, University Hospital of Ruhr-University Bochum

Publisher

Japanese Circulation Society

Subject

Cardiology and Cardiovascular Medicine,General Medicine

Link

https://www.jstage.jst.go.jp/article/circj/86/8/86_CJ-22-0065/_pdf

Reference29 articles.

1. 1. Callans DJ, Volker M, Schwartzman D, Gottlieb CD, Marchlinski FE. Repetitive monomorphic tachycardia from the left ventricular outflow tract: Electrocardiographic patterns consistent with a left ventricular site of origin. J Am Coll Cardiol 1997; 29: 1023–1027.