Estimation of blood glucose concentration during endurance sports
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11120%2F20%3A43920409" target="_blank" >RIV/00216208:11120/20:43920409 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216208:11130/20:10413820 RIV/00064203:_____/20:10413820
Výsledek na webu
<a href="https://doi.org/10.46300/91011.2020.14.14" target="_blank" >https://doi.org/10.46300/91011.2020.14.14</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.46300/91011.2020.14.14" target="_blank" >10.46300/91011.2020.14.14</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Estimation of blood glucose concentration during endurance sports
Popis výsledku v původním jazyce
In this paper, we describe a new statistical approach to estimate blood glucose concentration along time during endurance sports based on measurements of glucose concentration in subcutaneous interstitial tissue. The final goal is the monitoring of glucose concentration in blood to maximize performance in endurance sports. Blood glucose concentration control during and after aerobic physical activity could also be useful to reduce the risk of hypoglycemia in type 1 diabetes mellitus subjects. By means of a low invasive technology known as "continuous glucose monitoring", glucose concentration in subcutaneous interstitial tissue can now be measured every five minutes. However, it can be expressed as function of blood glucose concentration along time by means of a convolution integral equation. In the training phase of the proposed approach, based on measurements of glucose concentration in both artery and subcutaneous interstitial tissue during physical activity, the parameters of the convolution kernel are estimated. Then, given a new subject performing aerobic physical activity, a deconvolution problem is solved to estimate glucose concentration in blood from continuous glucose monitoring measurements.
Název v anglickém jazyce
Estimation of blood glucose concentration during endurance sports
Popis výsledku anglicky
In this paper, we describe a new statistical approach to estimate blood glucose concentration along time during endurance sports based on measurements of glucose concentration in subcutaneous interstitial tissue. The final goal is the monitoring of glucose concentration in blood to maximize performance in endurance sports. Blood glucose concentration control during and after aerobic physical activity could also be useful to reduce the risk of hypoglycemia in type 1 diabetes mellitus subjects. By means of a low invasive technology known as "continuous glucose monitoring", glucose concentration in subcutaneous interstitial tissue can now be measured every five minutes. However, it can be expressed as function of blood glucose concentration along time by means of a convolution integral equation. In the training phase of the proposed approach, based on measurements of glucose concentration in both artery and subcutaneous interstitial tissue during physical activity, the parameters of the convolution kernel are estimated. Then, given a new subject performing aerobic physical activity, a deconvolution problem is solved to estimate glucose concentration in blood from continuous glucose monitoring measurements.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
30202 - Endocrinology and metabolism (including diabetes, hormones)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
International Journal of Biology and Biomedical Engineering
ISSN
1998-4510
e-ISSN
—
Svazek periodika
14
Číslo periodika v rámci svazku
July
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
5
Strana od-do
96-100
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85089599771