Parallel software architecture for the next generation of glucose monitoring
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Parallel software architecture for the next generation of glucose monitoring
Original language description
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.
Czech name
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Czech description
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Classification
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)
Result continuities
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>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Procedia Computer Science
ISBN
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ISSN
1877-0509
e-ISSN
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Number of pages
8
Pages from-to
279-286
Publisher name
Elsevier
Place of publication
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Event location
Leuven, Belgie
Event date
Nov 5, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000471261700035