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dc.contributor.authorJones, Richard William
dc.contributor.authorGianni, Francesco
dc.contributor.authorDespotou, George
dc.contributor.authorKatzis, Konstantinos
dc.creatorJones, Richard William
dc.date.accessioned2018-10-16T12:50:28Z
dc.date.available2018-10-16T12:50:28Z
dc.date.issued2017-01-01
dc.identifierSCOPUS_ID:85022223105
dc.identifier.isbn9781614997801
dc.identifier.issn09269630
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85022223105&origin=inward
dc.identifier.urihttps://repo.euc.ac.cy/handle/123456789/460
dc.description.abstractThe Artificial Pancreas is a medical device, currently in development, that aims to provide automatic regulation of blood glucose (BG) levels in ambulatory type 1 diabetes mellitus sufferers. The most popular approach utilises subcutaneous (SC) continuous glucose monitoring (CGM) combined with SC insulin injection controlled by a Model Predictive Control (MPC) algorithm. From a safety risk perspective problematic elements include the performance robustness of the CGM and the need for a pre-meal insulin bolus to provide satisfactory post prandial BG regulation. This contribution presents preliminary in silico studies which indicate that the use of an alternative approach to insulin delivery - intra-peritoneal (IP) infusion - could provide a similar level of BG regulation (as obtained with SC delivery), without the need for the pre-meal bolus. This simplified control architecture would remove the patient safety risk related to the administration (or not) of pre-meal bolus.
dc.relation.ispartofStudies in Health Technology and Informatics
dc.titleThe artificial pancreas: Reducing safety risk via intra-peritoneal insulin delivery
elsevier.identifier.doi10.3233/978-1-61499-781-8-56
elsevier.identifier.eid2-s2.0-85022223105
elsevier.identifier.scopusidSCOPUS_ID:85022223105
elsevier.volume238
elsevier.coverdate2017-01-01
elsevier.coverdisplaydate2017
elsevier.openaccess0
elsevier.openaccessflagfalse
elsevier.aggregationtypeBook Series


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