It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Details
Title
Author Correction: Pulse-Wave-Pattern Classification with a Convolutional Neural Network
Author
Li, Gaoyang 1 ; Watanabe, Kazuhiro 1 ; Anzai, Hitomi 2 ; Song, Xiaorui 3 ; Qiao, Aike 4 ; Ohta, Makoto 5
1 Tohoku University, Institute of Fluid Science, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Tohoku University, Graduate School of Biomedical Engineering, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
2 Tohoku University, Graduate School of Biomedical Engineering, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
3 Taishan Medical University, Department of Radiology, Taian, China (GRID:grid.410638.8) (ISNI:0000 0000 8910 6733)
4 Beijing University of Technology, College of Life Science and Bioengineering, Beijing, China (GRID:grid.28703.3e) (ISNI:0000 0000 9040 3743)
5 Tohoku University, Graduate School of Biomedical Engineering, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); ELyTMaX UMI 3757, CNRS–Université de Lyon–Tohoku University, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)

1 Tohoku University, Institute of Fluid Science, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); Tohoku University, Graduate School of Biomedical Engineering, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
2 Tohoku University, Graduate School of Biomedical Engineering, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
3 Taishan Medical University, Department of Radiology, Taian, China (GRID:grid.410638.8) (ISNI:0000 0000 8910 6733)
4 Beijing University of Technology, College of Life Science and Bioengineering, Beijing, China (GRID:grid.28703.3e) (ISNI:0000 0000 9040 3743)
5 Tohoku University, Graduate School of Biomedical Engineering, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943); ELyTMaX UMI 3757, CNRS–Université de Lyon–Tohoku University, Sendai, Japan (GRID:grid.69566.3a) (ISNI:0000 0001 2248 6943)
Pages
7185
Publication year
2024
Publication date
2024
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2986724029
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.