Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Shan Zengyu"'
Autor:
Wang Nanyue, Yu Youhua, Huang Dawei, Xu Bin, Liu Jia, Li Tongda, Xue Liyuan, Shan Zengyu, Chen Yanping, Wang Jia
Publikováno v:
The Scientific World Journal, Vol 2015 (2015)
Objective. To compare the signals of pulse diagnosis of fatty liver disease (FLD) patients and cirrhosis patients. Methods. After collecting the pulse waves of patients with fatty liver disease, cirrhosis patients, and healthy volunteers, we do pretr
Externí odkaz:
https://doaj.org/article/a422ed5660e3444cac3d37f81686e3e7
Akademický článek
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Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
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Autor:
Shan, Zengyu, Zhang, Xi, Dang, Jiaojiao, Chen, Yanping, Lu, Bo, Zhang, Meiyu, Song, Jun, Raskin, Jean-Pierre, Tang, Xiaohui
Publikováno v:
Journal of Traditional Chinese Medicine, Vol. 60, no.24 (2019)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1493::df93f73c8a6599097c6684e259171f88
https://hdl.handle.net/2078.1/237892
https://hdl.handle.net/2078.1/237892
Autor:
Xue Liyuan, Shan Zengyu, Wang Nanyue, Chen Yanping, Liu Jia, Wang Jia, Xu Bin, Yu Youhua, Li Tongda, Huang Dawei
Publikováno v:
The Scientific World Journal, Vol 2015 (2015)
The Scientific World Journal
The Scientific World Journal
Objective. To compare the signals of pulse diagnosis of fatty liver disease (FLD) patients and cirrhosis patients.Methods. After collecting the pulse waves of patients with fatty liver disease, cirrhosis patients, and healthy volunteers, we do pretre
Publikováno v:
2016 27th International Symposium on Discharges and Electrical Insulation in Vacuum (ISDEIV).
For the 126kV DC vacuum circuit breakers (VCBs) with multi-breaks, the continuous transition model, metal vapor and ion density are introduced to describe the dynamic mathematical model of dielectric recovery with intermediate frequency vacuum arcs.
Autor:
Li Tongda, Shan Zengyu, Chen Yan, Jiang Bohua, Chen Yanping, Yu Youhua, Huang Dawei, Huang Ying, Wang Nanyue, Xue Liyuan
Publikováno v:
BIBM Workshops
Objective: To build a viable method to analyze the Pulse-diagnosis signals by the combination of unsupervised learning and supervised learning. Methods: After collecting the pulse waves of patients with chronic obstructive pulmonary disease (COPD) an
Autor:
Wang Nanyue, Yu Youhua, Huang Dawei, Shan Zengyu, Chen Yan, Li Tongda, Xue Xiaoou, Gao Yan, Chen Yanping, Fu Wanfeng
Publikováno v:
2010 IEEE International Conference on Bioinformatics & Biomedicine Workshops (BIBMW); 2010, p730-732, 3p