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Artificial intelligence for automatic surgical phase recognition of laparoscopic gastrectomy in gastric cancer
期刊论文
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2023, 页码: 9
作者:
Zhai, Yuhao
;
Chen, Zhen
;
Zheng, Zhi
;
Wang, Xi
;
Yan, Xiaosheng
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/12/21
Artificial intelligence
Gastric cancer
Surgical phase
Engineering synthetic artificial pancreas using chitosan hydrogels integrated with glucose-responsive microspheres for insulin delivery
期刊论文
MATERIALS SCIENCE & ENGINEERING C-MATERIALS FOR BIOLOGICAL APPLICATIONS, 2019, 卷号: 96, 页码: 374-382
作者:
Yin, Ruixue[1]
;
He, Jing[2]
;
Bai, Meirong[3]
;
Huang, Cong[4]
;
Wang, Kemin[5]
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  |  
浏览/下载:26/0
  |  
提交时间:2019/04/22
Artificial pancreas
Glucose-responsive
Insulin delivery
Prolonged release
Integrated scaffold
Integrating Economic Model Predictive Control and Event-Triggered Control: Application to Bi-Hormonal Artificial Pancreas System
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 3790-3799
作者:
Ma, Xin
;
Tang, Fengna
;
Shen, Xiao
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  |  
浏览/下载:11/0
  |  
提交时间:2019/12/11
Economic model predictive control
event-triggered control
artificial
pancreas
economic cost
computational efficiency
Economic Model Predictive Control of Bihormonal Artificial Pancreas System Based on Switching Control and Dynamic R-parameter.
期刊论文
Journal of diabetes science and technology, 2017, 卷号: 11, 期号: 6
作者:
Tang, Fengna
;
Wang, Youqing
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/12
Design of Bi-hormonal artificial pancreas system using switching economic model predictive control
会议论文
36th Chinese Control Conference, CCC 2017, July 26, 2017 - July 28, 2017
作者:
Tang, Fengna
;
Wang, Youqing
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/31
Design of Bi-hormonal Artificial Pancreas System Using Switching Economic Model Predictive Control
会议论文
36th Chinese Control Conference (CCC), JUL 26-28, 2017
作者:
Tang, Fengna
;
Wang, Youqing
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/31
economic model predictive control
particle swarm optimization
switching control
artificial pancreas (AP)
economic cost
Adaptive Fuzzy Hysteresis Internal Model Tracking Control of Piezoelectric Actuators With Nanoscale Application
期刊论文
Ieee Transactions on Fuzzy Systems, 2016, 卷号: 24, 期号: 5
作者:
Li, P. Z.
;
P. Y. Li and Y. X. Sui
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  |  
浏览/下载:16/0
  |  
提交时间:2017/09/11
人工胰脏中血糖预测模型的关键问题研究
学位论文
博士: 中国科学院大学, 2015
作者:
李鹏
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  |  
浏览/下载:80/0
  |  
提交时间:2016/04/11
人工胰脏
一型糖尿病
数据驱动时间序列模型
葡萄糖-胰岛素 生理模型
模型降阶
硬件实现
A Preliminary Study of Using Small Intestinal Submucosa Scaffolds Coated Islets and Mesenchymal Stem Cells to Built Artificial Pancreas
会议论文
作者:
Wang, D.
;
Ding, X.
;
Xue, W.
;
Zheng, J.
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  |  
浏览/下载:1/0
  |  
提交时间:2019/12/02
PID control of glucose concentration in subjects with type 1 diabetes based on a simplified model: An in silico trial (EI CONFERENCE)
会议论文
10th World Congress on Intelligent Control and Automation, WCICA 2012, July 6, 2012 - July 8, 2012, Beijing, China
Li P.
;
Yu L.
;
Guo L.
;
Dong J.
;
Hu J.
;
Fang Q.
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2013/03/25
An artificial pancreas system (APS) mimics the function of a real pancreas through monitoring a diabetic's blood glucose and administering the right dose of insulin via an automatic control loop. It is hailed as a promising cure of diabetes
though this technology is still years away from commercial use due to a few technological bottlenecks. The simulation model of insulin-glucose metabolism of type 1 diabetes mellitus (T1DM) is an essential part of APS. In order to simplify the parameter identification task so that the model can be implemented electronically with ease
this paper presents a simplified model based on Routh approximation model reduction method. The results show that the approximation error between the simplified model and the original model is so small that can be neglected. Based on the simplified model
a PID controller is designed to maintain normoglycemia (90mg/dl) in subjects with T1DM. The in silico simulation results show that the glucose concentration is controlled well
the risk of hyperglycemia and hypoglycemia is reduced a lot. This suggests that the simplified model describes the insulin-glucose metabolism process accurately
and the PID control algorithm is well-suitable to guide the further development of an APS. 2012 IEEE.
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