Performance of the Omnipod Personalized Model Predictive Control Algorithm with Meal Bolus Challenges in Adults with Type 1 Diabetes

Background: This study assessed the safety and performance of the Omnipod(®) personalized model predictive control (MPC) algorithm using an investigational device in adults with type 1 diabetes in response to overestimated and missed meal boluses and extended boluses for high-fat meals. Materials an...

Descripción completa

Detalles Bibliográficos
Autores principales: Buckingham, Bruce A., Christiansen, Mark P., Forlenza, Gregory P., Wadwa, R. Paul, Peyser, Thomas A., Lee, Joon Bok, O'Connor, Jason, Dassau, Eyal, Huyett, Lauren M., Layne, Jennifer E., Ly, Trang T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc. 2018
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6114075/
https://www.ncbi.nlm.nih.gov/pubmed/30070928
http://dx.doi.org/10.1089/dia.2018.0138

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6114075/
https://www.ncbi.nlm.nih.gov/pubmed/30070928
http://dx.doi.org/10.1089/dia.2018.0138

Ejemplares similares