Risultati finali
The intraperitoneal T1D simulator will be developed according to the data available from the preclinical trial and modeled on the framework of the T1D PadovaUVa simulator
Prelim. report on sensor, control algo and pump bench testingProject management handbook
Handbook
Ethical committee approval 1Ethical committee approval will be filed by CHUM.
Focus Group & human factors identificationThis deliverable is directly related to Task 51Semistructured interviews in different user population subgroupsPatients will be interviewed with regard to potential benefits and barriers for adoption of the new technology In addition interviews will focus on human factors associated with successful longterm use as well as on vigilance to ensure early identification of any problems and malfunctions These interviews will be conducted in three different subgroups with 10 patients with type 1 diabetes per group 1675 years equal gender distribution 1 Multiple Daily Insulin injection therapy Continuous Glucose Monitoring CGM users 2 Insulin pump CGM users 3 patients with selfbuilt closedloop system For these interviews mock versions of the charging belt and control unit will be handed to patient to explore their perception and ease of use of those componentsDeliverables of this taks will be a report on the outcomes of the focus group discussions and identification of human factors associated with use of BIP
Prelim. report on ip personalized, control algorithmThe algorithm will be developed according to the preliminary data gathered and to the performance of the sensor
website with project description will be developed
Pubblicazioni
Autori:
Alberto Dalla Libera; Ruggero Carli; Gianluigi Pillonetto
Pubblicato in:
Automatica, 2021, Pagina/e 1-11, ISSN 0005-1098
Editore:
Pergamon Press Ltd.
DOI:
10.1016/j.automatica.2021.109686
Autori:
Claudio Cobelli; Chiara Dalla Man
Pubblicato in:
Journal of Diabetes Science and Technology, 2021, Pagina/e 1-29, ISSN 1932-2968
Editore:
Diabetes Technology Society
DOI:
10.1177/19322968211015268
Autori:
Jorge Lo Presti; Alfonso Galderisi; Francis J. Doyle, III; Howard C. Zisser; Eyal Dassau; Eric Renard; Chiara Toffanin; Claudio Cobelli
Pubblicato in:
Journal of Diabetes Science and Technology, 2022, ISSN 1932-2968
Editore:
Diabetes Technology Society
DOI:
10.1177/19322968221076559
Autori:
Andreas Pfützner; Hendrick Jensch; Christopher Cardinal; Geetham Srikanthamoorthy; Eric Riehn; Nicole Thomé
Pubblicato in:
Journal of Diabetes Science and Technology, 2022, Pagina/e 1-7, ISSN 1932-2968
Editore:
Diabetes Technology Society
DOI:
10.1177/19322968221095573
Autori:
Alberto Dalla Libera; Gianluigi Pillonetto
Pubblicato in:
Neurocomputing, 2022, Pagina/e 321-329, ISSN 0925-2312
Editore:
Elsevier BV
DOI:
10.1016/j.neucom.2021.10.054
Autori:
Claudio Cobelli; Chiara Dalla Man
Pubblicato in:
Journal of Diabetes Science and Technology, 2021, Pagina/e 1-2, ISSN 1932-2968
Editore:
Diabetes Technology Society
DOI:
10.1177/19322968211060069
Autori:
Chiara Toffanin; Lalo Magni; Claudio Cobelli
Pubblicato in:
IEEE Transactions on Medical Robotics and Bionics, 2021, Pagina/e 306-314, ISSN 2576-3202
Editore:
IEEE
DOI:
10.1109/tmrb.2021.3075775
Autori:
Galderisi, Alfonso; Moran, Antoinette; Evans-Molina, Carmella; Martino, Mariangela; Santoro, Nicola; Caprio, Sonia; Cobelli, Claudio
Pubblicato in:
The Journal of Clinical Endocrinology & Metabolism, 2021, ISSN 0021-972X
Editore:
The Endocrine Society
DOI:
10.1210/clinem/dgab344
È in corso la ricerca di dati su OpenAIRE...
Si è verificato un errore durante la ricerca dei dati su OpenAIRE
Nessun risultato disponibile