SmartCGMS as an Environment for an Insulin-Pump Development with FDA-Accepted In-Silico Pre-Clinical Trials
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43957389" target="_blank" >RIV/49777513:23520/19:43957389 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1016/j.procs.2019.11.084" target="_blank" >http://dx.doi.org/10.1016/j.procs.2019.11.084</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.procs.2019.11.084" target="_blank" >10.1016/j.procs.2019.11.084</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
SmartCGMS as an Environment for an Insulin-Pump Development with FDA-Accepted In-Silico Pre-Clinical Trials
Popis výsledku v původním jazyce
Diabetes is a widespread civilization disease. It manifests with an elevated blood glucose level. In the long-term, elevated blood glucose level continuously damages organs. In the short-term, hypo- and hyperglycemia are acute complications. Insulin lowers blood glucose level by promoting its utilization. At basal rate, insulin pump delivers insulin to subcutaneous tissue to control blood glucose level. In addition, patient doses insulin boluses in accordance with estimated carbohydrate content of consumed meal. Control algorithm of the pump considers the boluses, when calculating the basal rate. In our previous work, we have proposed a parallel-architecture for the next-generation of glucose monitoring - SmartCGMS. It unifies the source-code base and the glucose-monitoring-and-control paradigm across real, simulated and prototyped devices. As the development continues, especially towards the pump-control algorithms, we face a problem of reducing the SmartCGMS requirements when considering a low-power hardware. In this paper, we present the modifications that lead to a reduced number of threads, while implementing the closed-loop feedback between a glucose sensor and insulin pump to conduct FDA accepted in-silico pre-clinical trials.
Název v anglickém jazyce
SmartCGMS as an Environment for an Insulin-Pump Development with FDA-Accepted In-Silico Pre-Clinical Trials
Popis výsledku anglicky
Diabetes is a widespread civilization disease. It manifests with an elevated blood glucose level. In the long-term, elevated blood glucose level continuously damages organs. In the short-term, hypo- and hyperglycemia are acute complications. Insulin lowers blood glucose level by promoting its utilization. At basal rate, insulin pump delivers insulin to subcutaneous tissue to control blood glucose level. In addition, patient doses insulin boluses in accordance with estimated carbohydrate content of consumed meal. Control algorithm of the pump considers the boluses, when calculating the basal rate. In our previous work, we have proposed a parallel-architecture for the next-generation of glucose monitoring - SmartCGMS. It unifies the source-code base and the glucose-monitoring-and-control paradigm across real, simulated and prototyped devices. As the development continues, especially towards the pump-control algorithms, we face a problem of reducing the SmartCGMS requirements when considering a low-power hardware. In this paper, we present the modifications that lead to a reduced number of threads, while implementing the closed-loop feedback between a glucose sensor and insulin pump to conduct FDA accepted in-silico pre-clinical trials.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/LO1506" target="_blank" >LO1506: Podpora udržitelnosti centra NTIS - Nové technologie pro informační společnost</a><br>
Návaznosti
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
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Procedia Computer Science
ISBN
—
ISSN
1877-0509
e-ISSN
—
Počet stran výsledku
8
Strana od-do
322-329
Název nakladatele
Elsevier
Místo vydání
—
Místo konání akce
Coimbra, Portugal
Datum konání akce
4. 11. 2019
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
—