Continuous glucose monitoring: past, present and future challenges

Continuous glucose monitoring (CGM) sensors are portable devices widely used in diabetes therapy to monitor the blood glucose concentration almost continuously for several consecutive days. These sensors are provided with features such as visual/acoustic alarms to alert the user when the critical thresholds of hypo/hyperglycemia are reached. In out talk, we will present the main characteristics and functionalities of CGM devices, their evolution over the last 20 years, the main applications in which they are employed, and we will conclude by addressing possible new uses in medicine and sport

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Lecture infos

School: XLII Annual School 2023 – The Bioengineering of Sport

Date: 13.09.2023 - 11:00

Speaker

Facchinetti A., Cappon G.

UNIPD

Andrea Facchinetti was born in Padova, Italy, on July 27, 1981. He is Associate Professor of “Biomedical Signal Processing” at the Department of Information Engineering (University of Padova, Italy). His expertise includes linear and nonlinear biological multivariate time-series and data analysis, with focus on signal processing and decision support systems for diabetes therapy. His research is currently supported by the Italian Ministry of Education and European Community, being principal investigator or co-investigator of several national/international projects. He has published more than 100 papers in peer-reviewed international journals and holds 14 international patents, with an H-index of 36 ---------------------------------------------------- Giacomo Cappon is a Postdoc Research Fellow at the Department of Information Engineering, University of Padova. He received the MSc degree in Bioengineering in 2016 and the Ph.D. degree in Information Engineering in 2020. Giacomo’s research interests mainly focus on the development of new decision support algorithms based on machine learning for improving treatment effectiveness in chronic metabolic diseases and the development of new digital health solutions for the efficient conduction of clinical trials. His research also includes Bayesian signal processing techniques for the analysis of continuous glucose monitoring. In 2018, Giacomo started collaborating with the Centre for Bio-Inspired Technology at the Imperial College London, London, UK where he contributed to the PEPPER project (funded under the EU-H2020 initiative). He also collaborated in the BRAINTEASER project (also funded under the EU-H2020 initiative), and GLUCOMFORT (funded by the Italian Minister of Research under the PRIN 2021 initiative). Giacomo is author of 20 papers published in major international journals.