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本文引用的文献

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Artificial pancreas: model predictive control design from clinical experience.人工胰腺:基于临床经验的模型预测控制设计
J Diabetes Sci Technol. 2013 Nov 1;7(6):1470-83. doi: 10.1177/193229681300700607.
2
DiAs web monitoring: a real-time remote monitoring system designed for artificial pancreas outpatient trials.DiAs网络监测:一种为人工胰腺门诊试验设计的实时远程监测系统。
J Diabetes Sci Technol. 2013 Nov 1;7(6):1427-35. doi: 10.1177/193229681300700603.
3
DiAs user interface: a patient-centric interface for mobile artificial pancreas systems.DiAs用户界面:一种用于移动人工胰腺系统的以患者为中心的界面。
J Diabetes Sci Technol. 2013 Nov 1;7(6):1416-26. doi: 10.1177/193229681300700602.
4
Day and night closed-loop control in adults with type 1 diabetes: a comparison of two closed-loop algorithms driving continuous subcutaneous insulin infusion versus patient self-management.1型糖尿病成人患者的昼夜闭环控制:两种驱动持续皮下胰岛素输注的闭环算法与患者自我管理的比较
Diabetes Care. 2013 Dec;36(12):3882-7. doi: 10.2337/dc12-1956. Epub 2013 Oct 29.
5
Artificial pancreas using a personalized rule-based controller achieves overnight normoglycemia in patients with type 1 diabetes.基于个体化规则的人工胰腺可实现 1 型糖尿病患者夜间血糖正常化。
Diabetes Technol Ther. 2014 Mar;16(3):172-9. doi: 10.1089/dia.2013.0229. Epub 2013 Oct 23.
6
A generic telemedicine infrastructure for monitoring an artificial pancreas trial.一种用于监测人工胰腺试验的通用远程医疗基础设施。
Comput Methods Programs Biomed. 2013 Jun;110(3):343-53. doi: 10.1016/j.cmpb.2013.01.011. Epub 2013 Feb 12.
7
Bringing the artificial pancreas home: telemedicine aspects.将人工胰腺带回家:远程医疗方面
J Diabetes Sci Technol. 2011 Nov 1;5(6):1381-6. doi: 10.1177/193229681100500609.
8
AP@home: a novel European approach to bring the artificial pancreas home.家庭版人工胰腺:一种将人工胰腺引入家庭的全新欧洲方法。
J Diabetes Sci Technol. 2011 Nov 1;5(6):1363-72. doi: 10.1177/193229681100500607.
9
Artificial pancreas: past, present, future.人工胰腺:过去、现在与未来。
Diabetes. 2011 Nov;60(11):2672-82. doi: 10.2337/db11-0654.
10
Healthcare in the pocket: mapping the space of mobile-phone health interventions.口袋里的医疗保健:手机健康干预措施的空间映射。
J Biomed Inform. 2012 Feb;45(1):184-98. doi: 10.1016/j.jbi.2011.08.017. Epub 2011 Sep 9.

通过基于智能体的技术监测人工胰腺试验:病例报告

Monitoring Artificial Pancreas Trials Through Agent-based Technologies: A Case Report.

作者信息

Lanzola Giordano, Scarpellini Stefania, Di Palma Federico, Toffanin Chiara, Del Favero Simone, Magni Lalo, Bellazzi Riccardo

机构信息

Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy

Department of Civil Engineering and Architecture, University of Pavia, Pavia, Italy.

出版信息

J Diabetes Sci Technol. 2014 Mar;8(2):216-224. doi: 10.1177/1932296814522120. Epub 2014 Mar 2.

DOI:10.1177/1932296814522120
PMID:24876570
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4455402/
Abstract

The increase in the availability and reliability of network connections lets envision systems supporting a continuous remote monitoring of clinical parameters useful either for overseeing chronic diseases or for following clinical trials involving outpatients. We report here the results achieved by a telemedicine infrastructure that has been linked to an artificial pancreas platform and used during a trial of the AP@home project, funded by the European Union. The telemedicine infrastructure is based on a multiagent paradigm and is able to deliver to the clinic any information concerning the patient status and the operation of the artificial pancreas. A web application has also been developed, so that the clinic staff and the researchers involved in the design of the blood glucose control algorithms are able to follow the ongoing experiments. Albeit the duration of the experiments in the trial discussed in the article was limited to only 2 days, the system proved to be successful for monitoring patients, in particular overnight when the patients are sleeping. Based on that outcome we can conclude that the infrastructure is suitable for the purpose of accomplishing an intelligent monitoring of an artificial pancreas either during longer trials or whenever that system will be used as a routine treatment.

摘要

网络连接可用性和可靠性的提高,使人们能够设想出这样的系统:它能支持对临床参数进行持续远程监测,这对慢性病监管或跟踪涉及门诊患者的临床试验都很有用。我们在此报告一个远程医疗基础设施所取得的成果,该设施已与一个人工胰腺平台相连,并在由欧盟资助的“在家使用人工胰腺(AP@home)”项目试验中得到应用。该远程医疗基础设施基于多智能体范式,能够向诊所提供任何有关患者状态和人工胰腺运行情况的信息。还开发了一个网络应用程序,以便参与血糖控制算法设计的诊所工作人员和研究人员能够跟踪正在进行的实验。尽管本文所讨论试验中的实验持续时间仅限制为两天,但该系统在监测患者方面被证明是成功的,尤其是在患者夜间睡眠时。基于这一结果,我们可以得出结论,该基础设施适用于在更长时间的试验期间或每当该系统用作常规治疗时对人工胰腺进行智能监测的目的。