Literature DB >> 24876570

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

Giordano Lanzola1, Stefania Scarpellini2, Federico Di Palma2, Chiara Toffanin2, Simone Del Favero3, Lalo Magni2, Riccardo Bellazzi4.   

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.
© 2014 Diabetes Technology Society.

Entities:  

Keywords:  artificial pancreas; clinical trial; diabetes mellitus type 1; remote monitoring; telemedicine

Year:  2014        PMID: 24876570      PMCID: PMC4455402          DOI: 10.1177/1932296814522120

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  19 in total

Review 1.  The future of bedside monitoring.

Authors:  R Kohli-Seth; J M Oropello
Journal:  Crit Care Clin       Date:  2000-10       Impact factor: 3.598

2.  Hypoglycemia prevention via pump attenuation and red-yellow-green "traffic" lights using continuous glucose monitoring and insulin pump data.

Authors:  Colleen S Hughes; Stephen D Patek; Marc D Breton; Boris P Kovatchev
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

3.  AP@home: a novel European approach to bring the artificial pancreas home.

Authors:  Lutz Heinemann; Carsten Benesch; J Hans DeVries
Journal:  J Diabetes Sci Technol       Date:  2011-11-01

Review 4.  Healthcare in the pocket: mapping the space of mobile-phone health interventions.

Authors:  Predrag Klasnja; Wanda Pratt
Journal:  J Biomed Inform       Date:  2011-09-09       Impact factor: 6.317

5.  Artificial pancreas: model predictive control design from clinical experience.

Authors:  Chiara Toffanin; Mirko Messori; Federico Di Palma; Giuseppe De Nicolao; Claudio Cobelli; Lalo Magni
Journal:  J Diabetes Sci Technol       Date:  2013-11-01

6.  Artificial pancreas using a personalized rule-based controller achieves overnight normoglycemia in patients with type 1 diabetes.

Authors:  Ismael Capel; Mercedes Rigla; Gema García-Sáez; Agustín Rodríguez-Herrero; Belén Pons; David Subías; Fernando García-García; Maria Gallach; Montserrat Aguilar; Carmen Pérez-Gandía; Enrique J Gómez; Assumpta Caixàs; M Elena Hernando
Journal:  Diabetes Technol Ther       Date:  2013-10-23       Impact factor: 6.118

7.  Feasibility of automating insulin delivery for the treatment of type 1 diabetes.

Authors:  Garry M Steil; Kerstin Rebrin; Christine Darwin; Farzam Hariri; Mohammed F Saad
Journal:  Diabetes       Date:  2006-12       Impact factor: 9.461

Review 8.  Bringing the artificial pancreas home: telemedicine aspects.

Authors:  Giordano Lanzola; Davide Capozzi; Nadia Serina; Lalo Magni; Riccardo Bellazzi
Journal:  J Diabetes Sci Technol       Date:  2011-11-01

Review 9.  Artificial pancreas: past, present, future.

Authors:  Claudio Cobelli; Eric Renard; Boris Kovatchev
Journal:  Diabetes       Date:  2011-11       Impact factor: 9.461

10.  Effect of home-based telemonitoring using mobile phone technology on the outcome of heart failure patients after an episode of acute decompensation: randomized controlled trial.

Authors:  Daniel Scherr; Peter Kastner; Alexander Kollmann; Andreas Hallas; Johann Auer; Heinz Krappinger; Herwig Schuchlenz; Gerhard Stark; Wilhelm Grander; Gabriele Jakl; Guenter Schreier; Friedrich M Fruhwald
Journal:  J Med Internet Res       Date:  2009-08-17       Impact factor: 5.428

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  5 in total

1.  Designing an artificial pancreas architecture: the AP@home experience.

Authors:  Giordano Lanzola; Chiara Toffanin; Federico Di Palma; Simone Del Favero; Lalo Magni; Riccardo Bellazzi
Journal:  Med Biol Eng Comput       Date:  2014-11-28       Impact factor: 2.602

Review 2.  Fault detection and safety in closed-loop artificial pancreas systems.

Authors:  B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2014-07-21

Review 3.  A Digital Ecosystem of Diabetes Data and Technology: Services, Systems, and Tools Enabled by Wearables, Sensors, and Apps.

Authors:  Nathaniel D Heintzman
Journal:  J Diabetes Sci Technol       Date:  2015-12-20

Review 4.  Big Data Technologies: New Opportunities for Diabetes Management.

Authors:  Riccardo Bellazzi; Arianna Dagliati; Lucia Sacchi; Daniele Segagni
Journal:  J Diabetes Sci Technol       Date:  2015-04-24

Review 5.  Remote Blood Glucose Monitoring in mHealth Scenarios: A Review.

Authors:  Giordano Lanzola; Eleonora Losiouk; Simone Del Favero; Andrea Facchinetti; Alfonso Galderisi; Silvana Quaglini; Lalo Magni; Claudio Cobelli
Journal:  Sensors (Basel)       Date:  2016-11-24       Impact factor: 3.576

  5 in total

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