SmartCGMS as a Testbed for a Blood-Glucose Level Prediction and/or Control Challenge with (an FDA-Accepted) Diabetic Patient Simulation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F20%3A43961666" target="_blank" >RIV/49777513:23520/20:43961666 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S1877050920323164" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1877050920323164</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.procs.2020.10.048" target="_blank" >10.1016/j.procs.2020.10.048</a>

Result language

angličtina

Original language name

SmartCGMS as a Testbed for a Blood-Glucose Level Prediction and/or Control Challenge with (an FDA-Accepted) Diabetic Patient Simulation

Original language description

Diabetic patient desires to avoid hypo- and hyperglycemic episodes, which result from insufficient insulin production. As the diabetes disease progresses, it requires an advance control of external insulin administration with an insulin pump. Given the importance of blood-glucose level prediction for the insulin therapy, there is a Blood-Glucose Level Prediction Challenge. This prediction is based on a post-mortem dataset, which include a number of signals related to the daily life of a diabetic patient. We propose replacing these post-mortem signals with an in-silico diabetic patient. For this purpose, we can use the SmartCGMS continuous glucose monitoring and controlling framework together with an FDA-accepted diabetic patient simulation. As a result, a competing researcher have the same conditions as a developer of a real-life insulin pump, connected to a real diabetic patient. When using SmartCGMS, simulated, prototyped and real devices can work together. This approach reduces the difference between laboratory and practical results, thus increasing the level of realism for the entire challenge. As a report on the current SmartCGMS state, we describe the previously unpublished features, which enable an improved glucose level prediction and/or control challenge

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Procedia Computer Science 177

ISBN

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ISSN

1877-0509

e-ISSN

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Number of pages

9

Pages from-to

354-362

Publisher name

Elsevier

Place of publication

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Event location

Madeira, Portugalsko

Event date

Nov 2, 2020

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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