Multiscale Entropy Analysis of Continuous Glucose Monitoring Data: A Comparative Study of Diabetic and Healthy Populations

Cleber França Carvalho, Thilini Savindya Karunarathna, Zilu Liang

2025

Abstract

The advent of continuous glucose monitoring (CGM) has made it possible to measure glucose frequently in daily life. This availability of glucose time series enables advanced analysis to uncover patterns in glycaemic dynamics that were previously undetectable with traditional blood-sample-based measurements. One such analytical method is multiscale entropy (MSE), which assesses the complexity of time series data across varying time scales. In this study, we performed a comparative analysis of MSE across three cohorts: individuals with type 1 diabetes (T1D), type 2 diabetes (T2D) and prediabetes (PRED). Our goal was to identify potential differences in glucose dynamics across these groups. We applied three base entropies, including approximate entropy (ApEn), attention entropy (AttnEn) and dispersion entropy (DispEn). We found that AttnEn and DispEn were useful in distinguishing between individuals with diabetes (both T1D and T2D) and those with prediabetes, whereas ApEn did not show significant discriminative power. Furthermore, we observed no substantial differences between T1D and T2D in terms of their MSE profiles. These results suggest that MSE, with appropriate base entropy measures, holds promise as a tool for developing biomarkers to differentiate between diabetes and prediabetes. Future studies could explore additional base entropy measures and analysing larger, more diverse datasets.

Paper Citation

in Harvard Style

Carvalho C., Karunarathna T. and Liang Z. (2025). Multiscale Entropy Analysis of Continuous Glucose Monitoring Data: A Comparative Study of Diabetic and Healthy Populations. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF; ISBN 978-989-758-731-3, SciTePress, pages 720-726. DOI: 10.5220/0013257000003911

in Bibtex Style

@conference{healthinf25,
author={Cleber Carvalho and Thilini Karunarathna and Zilu Liang},
title={Multiscale Entropy Analysis of Continuous Glucose Monitoring Data: A Comparative Study of Diabetic and Healthy Populations},
booktitle={Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF},
year={2025},
pages={720-726},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013257000003911},
isbn={978-989-758-731-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF
TI - Multiscale Entropy Analysis of Continuous Glucose Monitoring Data: A Comparative Study of Diabetic and Healthy Populations
SN - 978-989-758-731-3
AU - Carvalho C.
AU - Karunarathna T.
AU - Liang Z.
PY - 2025
SP - 720
EP - 726
DO - 10.5220/0013257000003911
PB - SciTePress