文献
J-GLOBAL ID:201802256261591398
整理番号:18A0726557
特徴ベースアルゴリズムと深部畳込みニューラルネットワークを用いた心房細動検出【JST・京大機械翻訳】
Atrial fibrillation detection using feature based algorithm and deep convolutional neural network
著者 (5件):
Ghiasi Shadi
(Cardiovascular Research Group (CVRG), Department of Mechanical Engineering at K. N. Toosi, University of Technology, Tehran, Iran)
,
Abdollahpur Mostafa
(Cardiovascular Research Group (CVRG), Department of Mechanical Engineering at K. N. Toosi, University of Technology, Tehran, Iran)
,
Madani Nasimalsadat
(Cardiovascular Research Group (CVRG), Department of Mechanical Engineering at K. N. Toosi, University of Technology, Tehran, Iran)
,
Kiani Kamran
(Cardiovascular Research Group (CVRG), Department of Mechanical Engineering at K. N. Toosi, University of Technology, Tehran, Iran)
,
Ghaffari Ali
(Cardiovascular Research Group (CVRG), Department of Mechanical Engineering at K. N. Toosi, University of Technology, Tehran, Iran)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
CinC
ページ:
1-4
発行年:
2017年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)