文献
J-GLOBAL ID:202202234295547316
整理番号:22A1176709
弱教師付き深層学習を用いた一般化可能な拍動ごとの不整脈検出【JST・京大機械翻訳】
Generalizable Beat-by-Beat Arrhythmia Detection by Using Weakly Supervised Deep Learning
著者 (11件):
Liu Yang
(1School of Computer Science and Technology, Harbin Institute of Technology (HIT), Harbin, China)
,
Li Qince
(1School of Computer Science and Technology, Harbin Institute of Technology (HIT), Harbin, China)
,
Li Qince
(2Peng Cheng Laboratory, Shenzhen, China)
,
He Runnan
(2Peng Cheng Laboratory, Shenzhen, China)
,
Wang Kuanquan
(1School of Computer Science and Technology, Harbin Institute of Technology (HIT), Harbin, China)
,
Liu Jun
(1School of Computer Science and Technology, Harbin Institute of Technology (HIT), Harbin, China)
,
Yuan Yongfeng
(1School of Computer Science and Technology, Harbin Institute of Technology (HIT), Harbin, China)
,
Xia Yong
(1School of Computer Science and Technology, Harbin Institute of Technology (HIT), Harbin, China)
,
Zhang Henggui
(2Peng Cheng Laboratory, Shenzhen, China)
,
Zhang Henggui
(3School of Physics and Astronomy, The University of Manchester, Manchester, United Kingdom)
,
Zhang Henggui
(4Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, China)
資料名:
Frontiers in Physiology (Web)
(Frontiers in Physiology (Web))
巻:
13
ページ:
850951
発行年:
2022年
JST資料番号:
U7093A
ISSN:
1664-042X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)