Modelling of glucose dynamics for diabetes

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43932568" target="_blank" >RIV/49777513:23520/17:43932568 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-56148-6_27" target="_blank" >http://dx.doi.org/10.1007/978-3-319-56148-6_27</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-56148-6_27" target="_blank" >10.1007/978-3-319-56148-6_27</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Modelling of glucose dynamics for diabetes

Popis výsledku v původním jazyce

Diabetes is a heterogeneous group of diseases associated with elevated blood glucose level. Elevated glucose level continuously damages multiple organs, eventually leading to death. Diabetes is one of top 10 leading causes of death. Diabetes does not hurt nor manifests outwardly, until it is too late and the disease has developed. For example, type-1 diabetic patient depends on insulin. The patient takes insulin based on self-monitoring of blood glucose level. Motivated patient takes approximately 3-4 blood samples a day. This cannot capture all im-portant events, e.g., nocturnal hypoglycemia with the risk of death. Therefore, the patient wears a system that continuously measures glucose level in the subcuta-neous tissue. Nevertheless, these two glucose levels are not linearly proportional. They can differ considerably. Therefore, a model of glucose dynamics is needed to describe the non-linearity between these two levels. The model is important to estimate blood glucose level from the subcutaneous tissue glucose level and for a development of artificial pancreas. Number of models were developed. In this paper, we present the background, selected models of glucose dynamics, lessons learned and propose what minimal data researchers should share to stimulate fur-ther research on this topic

Název v anglickém jazyce

Modelling of glucose dynamics for diabetes

Popis výsledku anglicky

Diabetes is a heterogeneous group of diseases associated with elevated blood glucose level. Elevated glucose level continuously damages multiple organs, eventually leading to death. Diabetes is one of top 10 leading causes of death. Diabetes does not hurt nor manifests outwardly, until it is too late and the disease has developed. For example, type-1 diabetic patient depends on insulin. The patient takes insulin based on self-monitoring of blood glucose level. Motivated patient takes approximately 3-4 blood samples a day. This cannot capture all im-portant events, e.g., nocturnal hypoglycemia with the risk of death. Therefore, the patient wears a system that continuously measures glucose level in the subcuta-neous tissue. Nevertheless, these two glucose levels are not linearly proportional. They can differ considerably. Therefore, a model of glucose dynamics is needed to describe the non-linearity between these two levels. The model is important to estimate blood glucose level from the subcutaneous tissue glucose level and for a development of artificial pancreas. Number of models were developed. In this paper, we present the background, selected models of glucose dynamics, lessons learned and propose what minimal data researchers should share to stimulate fur-ther research on this topic

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)

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Bioinformatics and Biomedical Engineering

ISBN

978-3-319-56147-9

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

11

Strana od-do

314-324

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Granada

Datum konání akce

26. 4. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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