dc.contributor.author | Sebastiani, Giovanni | |
dc.contributor.author | Uteng, Stig | |
dc.contributor.author | Godtliebsen, Fred | |
dc.contributor.author | Polàk, Jan | |
dc.contributor.author | Brož, Jan | |
dc.date.accessioned | 2021-01-15T13:55:15Z | |
dc.date.available | 2021-01-15T13:55:15Z | |
dc.date.issued | 2020-07-21 | |
dc.description.abstract | 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. | en_US |
dc.identifier.citation | 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 | en_US |
dc.identifier.cristinID | FRIDAID 1861723 | |
dc.identifier.doi | 10.46300/91011.2020.14.14 | |
dc.identifier.issn | 1998-4510 | |
dc.identifier.uri | https://hdl.handle.net/10037/20299 | |
dc.language.iso | eng | en_US |
dc.publisher | North Atlantic University Union (NAUN) | en_US |
dc.relation.ispartof | Uteng, S. (2022). Statistical Curve Analysis: Developing Methods and Expanding Knowledge in Health. (Doctoral thesis). <a href=https://hdl.handle.net/10037/25969>https://hdl.handle.net/10037/25969</a>. | |
dc.relation.journal | International Journal of Biology and Biomedical Engineering | |
dc.rights.accessRights | openAccess | en_US |
dc.rights.holder | Copyright 2020 The Author(s) | en_US |
dc.subject | VDP::Mathematics and natural science: 400::Mathematics: 410 | en_US |
dc.subject | VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410 | en_US |
dc.title | Estimation of Blood Glucose Concentration During Endurance Sports | en_US |
dc.type.version | publishedVersion | en_US |
dc.type | Journal article | en_US |
dc.type | Tidsskriftartikkel | en_US |
dc.type | Peer reviewed | en_US |