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Estimation of Blood Glucose Concentration During Endurance Sports

Permanent lenke
https://hdl.handle.net/10037/20299
DOI
https://doi.org/10.46300/91011.2020.14.14
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Åpne
article.pdf (740.4Kb)
Publisert versjon (PDF)
Dato
2020-07-21
Type
Journal article
Tidsskriftartikkel
Peer reviewed

Forfatter
Sebastiani, Giovanni; Uteng, Stig; Godtliebsen, Fred; Polàk, Jan; Brož, Jan
Sammendrag
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.
Er en del av
Uteng, S. (2022). Statistical Curve Analysis: Developing Methods and Expanding Knowledge in Health. (Doctoral thesis). https://hdl.handle.net/10037/25969.
Forlag
North Atlantic University Union (NAUN)
Sitering
Sebastiani S, Uteng S, Godtliebsen F, Polàk, Brož J. Estimation of Blood Glucose Concentration During Endurance Sports. International Journal of Biology and Biomedical Engineering. 2020;14
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  • Artikler, rapporter og annet (matematikk og statistikk) [357]
Copyright 2020 The Author(s)

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