Literature DB >> 25430423

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

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

Abstract

The latest achievements in sensor technologies for blood glucose level monitoring, pump miniaturization for insulin delivery, and the availability of portable computing devices are paving the way toward the artificial pancreas as a treatment for diabetes patients. This device encompasses a controller unit that oversees the administration of insulin micro-boluses and continuously drives the pump based on blood glucose readings acquired in real time. In order to foster the research on the artificial pancreas and prepare for its adoption as a therapy, the European Union in 2010 funded the AP@home project, following a series of efforts already ongoing in the USA. This paper, authored by members of the AP@home consortium, reports on the technical issues concerning the design and implementation of an architecture supporting the exploitation of an artificial pancreas platform. First a PC-based platform was developed by the authors to prove the effectiveness and reliability of the algorithms responsible for insulin administration. A mobile-based one was then adopted to improve the comfort for the patients. Both platforms were tested on real patients, and a description of the goals, the achievements, and the major shortcomings that emerged during those trials is also reported in the paper.

Entities:  

Keywords:  Artificial pancreas; Diabetes mellitus type 1; Glucose control algorithms; Remote monitoring; e-Health and m-health for diabetes management

Mesh:

Substances:

Year:  2014        PMID: 25430423     DOI: 10.1007/s11517-014-1231-1

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  35 in total

1.  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

2.  Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system.

Authors:  Mattia Zanon; Giovanni Sparacino; Andrea Facchinetti; Michela Riz; Mark S Talary; Roland E Suri; Andreas Caduff; Claudio Cobelli
Journal:  Med Biol Eng Comput       Date:  2012-06-22       Impact factor: 2.602

Review 3.  A comprehensive survey of wearable and wireless ECG monitoring systems for older adults.

Authors:  Mirza Mansoor Baig; Hamid Gholamhosseini; Martin J Connolly
Journal:  Med Biol Eng Comput       Date:  2013-01-19       Impact factor: 2.602

4.  Modular closed-loop control of diabetes.

Authors:  S D Patek; L Magni; E Dassau; C Karvetski; C Toffanin; G De Nicolao; S Del Favero; M Breton; C Dalla Man; E Renard; H Zisser; F J Doyle; C Cobelli; B P Kovatchev
Journal:  IEEE Trans Biomed Eng       Date:  2012-04-03       Impact factor: 4.538

5.  Difference in insulin usage patterns with pubertal development in children with type 1 diabetes during transition from multiple daily injections to continuous subcutaneous insulin infusion (CSII) and through the CSII treatment.

Authors:  B Shashaj; N Sulli
Journal:  Diabetes Technol Ther       Date:  2009-12       Impact factor: 6.118

6.  Quality of life and treatment satisfaction in adults with Type 1 diabetes: a comparison between continuous subcutaneous insulin infusion and multiple daily injections.

Authors:  A Nicolucci; A Maione; M Franciosi; R Amoretti; E Busetto; F Capani; D Bruttomesso; P Di Bartolo; A Girelli; F Leonetti; L Morviducci; P Ponzi; E Vitacolonna
Journal:  Diabet Med       Date:  2008-01-14       Impact factor: 4.359

7.  Modular artificial beta-cell system: a prototype for clinical research.

Authors:  Eyal Dassau; Howard Zisser; Cesar C Palerm; Bruce A Buckingham; Lois Jovanovic; Francis J Doyle
Journal:  J Diabetes Sci Technol       Date:  2008-09

8.  A new-generation continuous glucose monitoring system: improved accuracy and reliability compared with a previous-generation system.

Authors:  Mark Christiansen; Timothy Bailey; Elaine Watkins; David Liljenquist; David Price; Katherine Nakamura; Robert Boock; Thomas Peyser
Journal:  Diabetes Technol Ther       Date:  2013-06-18       Impact factor: 6.118

Review 9.  The artificial pancreas: current status and future prospects in the management of diabetes.

Authors:  Thomas Peyser; Eyal Dassau; Marc Breton; Jay S Skyler
Journal:  Ann N Y Acad Sci       Date:  2014-04       Impact factor: 5.691

Review 10.  Artificial pancreas: past, present, future.

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

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  6 in total

1.  Special issue on emerging technologies for the management of diabetes mellitus.

Authors:  Konstantia Zarkogianni; Konstantina S Nikita
Journal:  Med Biol Eng Comput       Date:  2015-12       Impact factor: 2.602

Review 2.  A Review of Emerging Technologies for the Management of Diabetes Mellitus.

Authors:  Konstantia Zarkogianni; Eleni Litsa; Konstantinos Mitsis; Po-Yen Wu; Chanchala D Kaddi; Chih-Wen Cheng; May D Wang; Konstantina S Nikita
Journal:  IEEE Trans Biomed Eng       Date:  2015-08-19       Impact factor: 4.538

3.  Modelling the effect of insulin on the disposal of meal-attributable glucose in type 1 diabetes.

Authors:  Fernando García-García; Roman Hovorka; Malgorzata E Wilinska; Daniela Elleri; M Elena Hernando
Journal:  Med Biol Eng Comput       Date:  2016-05-07       Impact factor: 2.602

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

6.  Factors Determining the Success and Failure of eHealth Interventions: Systematic Review of the Literature.

Authors:  Conceição Granja; Wouter Janssen; Monika Alise Johansen
Journal:  J Med Internet Res       Date:  2018-05-01       Impact factor: 5.428

  6 in total

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