文献
J-GLOBAL ID:201802252045114413
整理番号:18A1996322
可変長心拍によるCNNとLSTM技術の組み合わせを用いた不整脈の自動診断【JST・京大機械翻訳】
Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats
著者 (6件):
Oh Shu Lih
(Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore)
,
Ng Eddie Y.K.
(School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore)
,
Tan Ru San
(National Heart Centre Singapore, Singapore)
,
Acharya U. Rajendra
(Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore)
,
Acharya U. Rajendra
(Department of Biomedical Engineering, School of Science and Technology, Singapore University of Social Sciences, Singapore)
,
Acharya U. Rajendra
(Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, Malaysia)
資料名:
Computers in Biology and Medicine
(Computers in Biology and Medicine)
巻:
102
ページ:
278-287
発行年:
2018年
JST資料番号:
E0858A
ISSN:
0010-4825
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)