Parallel software architecture for the next generation of glucose monitoring

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43956227" target="_blank" >RIV/49777513:23520/18:43956227 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.procs.2018.10.197" target="_blank" >http://dx.doi.org/10.1016/j.procs.2018.10.197</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.procs.2018.10.197" target="_blank" >10.1016/j.procs.2018.10.197</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Parallel software architecture for the next generation of glucose monitoring

Popis výsledku v původním jazyce

Diabetes is a widespread disease. Elevated blood glucose levels continuously damage multiple organs in the long-term. In the shortterm, hypo- and hyperglycemic shocks are acute risks. Diabetes patients monitor their glucose level using continuous glucose monitoring systems. Based on their measured glucose level, the patient take insulin to lower their blood glucose level. With the advances in mobile computing, an increasing number of diabetes patients engage in self-built systems. They read their glucose levels from glucose-monitoring systems and calculate their insulin dosage based on the measured levels. The self-built nature of such a system raises a number of medical and software engineering concerns. Therefore, we propose a software architecture for the next generation of glucose monitoring. The proposed architecture builds on the principles of the high-level architecture. We decompose the entire glucose monitoring system to basic elements, which are either real or simulated. This opens the proposed architecture to software engineering, simulation, and fault-tolerance research. As a proof of concept, we present an illustrative configuration of the implemented software architecture that predicts future blood glucose levels 15 minutes in advance for type-1 diabetes patients. All relative errors are in the A+B zones of Clarke and Parkes error grids, with almost 95% of errors in the safest A-zones of both grids.

Název v anglickém jazyce

Parallel software architecture for the next generation of glucose monitoring

Popis výsledku anglicky

Diabetes is a widespread disease. Elevated blood glucose levels continuously damage multiple organs in the long-term. In the shortterm, hypo- and hyperglycemic shocks are acute risks. Diabetes patients monitor their glucose level using continuous glucose monitoring systems. Based on their measured glucose level, the patient take insulin to lower their blood glucose level. With the advances in mobile computing, an increasing number of diabetes patients engage in self-built systems. They read their glucose levels from glucose-monitoring systems and calculate their insulin dosage based on the measured levels. The self-built nature of such a system raises a number of medical and software engineering concerns. Therefore, we propose a software architecture for the next generation of glucose monitoring. The proposed architecture builds on the principles of the high-level architecture. We decompose the entire glucose monitoring system to basic elements, which are either real or simulated. This opens the proposed architecture to software engineering, simulation, and fault-tolerance research. As a proof of concept, we present an illustrative configuration of the implemented software architecture that predicts future blood glucose levels 15 minutes in advance for type-1 diabetes patients. All relative errors are in the A+B zones of Clarke and Parkes error grids, with almost 95% of errors in the safest A-zones of both grids.

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)

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>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

Procedia Computer Science

ISBN

—

ISSN

1877-0509

e-ISSN

—

Počet stran výsledku

8

Strana od-do

279-286

Název nakladatele

Elsevier

Místo vydání

—

Místo konání akce

Leuven, Belgie

Datum konání akce

5. 11. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000471261700035