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A decision support system for diabetic patients: closing the loop for MDI users

  • Type 1 diabetes is a chronic and a life threatening disease: an adjusted treatment and a proper management of the disease are crucial to prevent or delay the complications of diabetes. Although during the last decade the development of the artificial pancreas has presented great advances in diabetes care, the multiple daily injections therapy still represents the most widely used treatment option for type 1 diabetes. This work presents the proposal and first development stages of an application focused on guiding patients using the continuous glucose monitors and smart pens together with insulin and carbohydrates recommendations. Our proposal aims to develop a platform to integrate a series of innovative machine learning models and tools rigorously tested together with the use of the latest IoT devices to manage type 1 diabetes. The resulting system actually closes the loop, like the artificial pancreas, but in an intermittent way.

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Author of HS ReutlingenMartínez Madrid, Natividad
Editor of HS Reutlingen:Martínez Madrid, Natividad
Erschienen in:EMBC Workshop Telemedicine and Telemonitoring in AAL Home Environments : 41st Engineering in Medicine and Biology (EMB) Conference : July 23, 2019 Berlin, Germany : proceedings of EMBC Workshop ”Telemedicine and Telemonitoring in AAL Home Environments”
Publisher:Hochschule Reutlingen
Place of publication:Reutlingen
Editor:Massimo Conti, Georgy Lebedev, Natividad Martínez MadridORCiD
Document Type:Conference proceeding
Publication year:2019
Page Number:3
First Page:29
Last Page:31
DDC classes:610 Medizin, Gesundheit
Open access?:Ja
Licence (German):License Logo  Creative Commons - CC BY - Namensnennung 4.0 International