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Postprandial peak identification from continuous glucose monitoring time series
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Archavli, Aikaterini, Randeva, Harpal S. and Khovanova, Natasha (2024) Postprandial peak identification from continuous glucose monitoring time series. In: MEDICON’23 and CMBEBIH’23, Sarajevo, Bosnia and Herzegovina, 14–16 Sep 2023. Published in: MEDICON’23 and CMBEBIH’23. MEDICON CMBEBIH 2023 2023, 93 pp. 96-107. ISBN 9783031490613. doi:10.1007/978-3-031-49062-0_11 ISSN 1680-0737.
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WRAP-Postprandial-peak-identification-continuous-23.pdf - Accepted Version Embargoed item. Restricted access to Repository staff only until 4 January 2025. Contact author directly, specifying your specific needs. - Requires a PDF viewer. Download (913Kb) |
Official URL: http://doi.org/10.1007/978-3-031-49062-0_11
Abstract
Continuous glucose monitors (CGMs) have been mainly used in medical applications to monitor blood glucose and to control insulin doses in Type 1 diabetes (T1D) patients. CGMs are becoming popular in people without diabetes and with Type 2 diabetes (T2D) due to their rising commercial availability and effectiveness. They are a useful tool for understanding individuals’ dynamic blood responses to food. However, before such information can be extracted for further analysis, the peaks must be selected automatically. Published works have focused on detecting the onset of meal intakes and calculating their carbohydrate load to assist glucose control in T1D management. This work aims to develop a threshold-based algorithm for entire postprandial peak identification, including starting and endpoints, from data obtained from people with different glucose tolerance levels. The algorithm achieved promising performance using an individual threshold-based approach, with recall and precision rates of 0.84 and 0.85, respectively.
Item Type: | Conference Item (Paper) | ||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School |
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Series Name: | IFMBE Proceedings | ||||||
Journal or Publication Title: | MEDICON’23 and CMBEBIH’23. MEDICON CMBEBIH 2023 2023 | ||||||
Publisher: | Springer | ||||||
Place of Publication: | Cham | ||||||
ISBN: | 9783031490613 | ||||||
ISSN: | 1680-0737 | ||||||
Book Title: | MEDICON’23 and CMBEBIH’23 | ||||||
Editor: | Badnjević, A. and Gurbeta, Pokvić, L. | ||||||
Official Date: | 4 January 2024 | ||||||
Dates: |
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Volume: | 93 | ||||||
Page Range: | pp. 96-107 | ||||||
DOI: | 10.1007/978-3-031-49062-0_11 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Re-use Statement: | “This version of the article has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-031-49062-0_11t DOI. Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use https://www.springernature.com/gp/open-research/policies/acceptedmanuscript-terms”. | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Copyright Holders: | © 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG | ||||||
Date of first compliant deposit: | 15 January 2024 | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | MEDICON’23 and CMBEBIH’23 | ||||||
Type of Event: | Conference | ||||||
Location of Event: | Sarajevo, Bosnia and Herzegovina | ||||||
Date(s) of Event: | 14–16 Sep 2023 | ||||||
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