scholarly journals Automated Insulin Delivery for Type 1 Diabetes Mellitus Patients using Gaussian Process-based Model Predictive Control

Author(s):  
Lukas Ortmann ◽  
Dawei Shi ◽  
Eyal Dassau ◽  
Francis J. Doyle ◽  
Berno J.E. Misgeld ◽  
...  
2019 ◽  
Vol 24 (2) ◽  
pp. 99-106
Author(s):  
Michelle Condren ◽  
Samie Sabet ◽  
Laura J. Chalmers ◽  
Taylor Saley ◽  
Jenna Hopwood

Type 1 diabetes mellitus has witnessed significant progress in its management over the past several decades. This review highlights technologic advancements in type 1 diabetes management. Continuous glucose monitoring systems are now available at various functionality and cost levels, addressing diverse patient needs, including a recently US Food and Drug Administration (FDA)–approved implantable continuous glucose monitoring system (CGMS). Another dimension to these state-of-the-art technologies is CGMS and insulin pump integration. These integrations have allowed for CGMS-based adjustments to basal insulin delivery rates and suspension of insulin delivery when a low blood glucose event is predicted. This review also includes a brief discussion of upcoming technologies such as patch-based CGMS and insulin-glucagon dual-hormonal delivery.


2017 ◽  
Vol 50 (1) ◽  
pp. 11023-11028 ◽  
Author(s):  
Lucas Griva ◽  
Marc Breton ◽  
Daniel Chernavvsky ◽  
Marta Basualdo

Sign in / Sign up

Export Citation Format

Share Document