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Giada Acciaroli
Giada Acciaroli
Ph.D. student, University of Padova
Verified email at phd.unipd.it
Title
Cited by
Cited by
Year
Wearable continuous glucose monitoring sensors: a revolution in diabetes treatment
G Cappon, G Acciaroli, M Vettoretti, A Facchinetti, G Sparacino
Electronics 6 (3), 65, 2017
2192017
Calibration of minimally invasive continuous glucose monitoring sensors: state-of-the-art and current perspectives
G Acciaroli, M Vettoretti, A Facchinetti, G Sparacino
Biosensors 8 (1), 24, 2018
982018
Continuous glucose monitoring: current use in diabetes management and possible future applications
M Vettoretti, G Cappon, G Acciaroli, A Facchinetti, G Sparacino
Journal of diabetes science and technology 12 (5), 1064-1071, 2018
732018
Head-to-head comparison of the accuracy of Abbott FreeStyle Libre and Dexcom G5 mobile
F Boscari, S Galasso, G Acciaroli, A Facchinetti, MC Marescotti, ...
Nutrition, Metabolism and Cardiovascular Diseases 28 (4), 425-427, 2018
502018
Diabetes and prediabetes classification using glycemic variability indices from continuous glucose monitoring data
G Acciaroli, G Sparacino, L Hakaste, A Facchinetti, GM Di Nunzio, ...
Journal of diabetes science and technology 12 (1), 105-113, 2018
412018
Reduction of blood glucose measurements to calibrate subcutaneous glucose sensors: A bayesian multiday framework
G Acciaroli, M Vettoretti, A Facchinetti, G Sparacino, C Cobelli
IEEE Transactions on Biomedical Engineering 65 (3), 587-595, 2017
312017
From two to one per day calibration of Dexcom G4 Platinum by a time-varying day-specific Bayesian prior
G Acciaroli, M Vettoretti, A Facchinetti, G Sparacino, C Cobelli
Diabetes Technology & Therapeutics 18 (8), 472-479, 2016
262016
Simple linear support vector machine classifier can distinguish impaired glucose tolerance versus type 2 diabetes using a reduced set of CGM-based glycemic variability indices
E Longato, G Acciaroli, A Facchinetti, A Maran, G Sparacino
Journal of diabetes science and technology 14 (2), 297-302, 2020
182020
Glycaemic variability-based classification of impaired glucose tolerance vs. type 2 diabetes using continuous glucose monitoring data
E Longato, G Acciaroli, A Facchinetti, L Hakaste, T Tuomi, A Maran, ...
Computers in biology and medicine 96, 141-146, 2018
162018
Mitigation of rebound hyperglycemia with real-time continuous glucose monitoring data and predictive alerts
G Acciaroli, JB Welsh, HK Akturk
Journal of Diabetes Science and Technology 16 (3), 677-682, 2022
152022
Toward calibration-free continuous glucose monitoring sensors: bayesian calibration approach applied to next-generation dexcom technology
G Acciaroli, M Vettoretti, A Facchinetti, G Sparacino
Diabetes Technology & Therapeutics 20 (1), 59-67, 2018
132018
Retrospective continuous-time blood glucose estimation in free living conditions with a non-invasive multisensor device
G Acciaroli, M Zanon, A Facchinetti, A Caduff, G Sparacino
Sensors 19 (17), 3677, 2019
112019
Non-invasive continuous-time blood pressure estimation from a single channel PPG signal using regularized ARX models
G Acciaroli, A Facchinetti, G Pillonetto, G Sparacino
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
112018
A model of acetaminophen pharmacokinetics and its effect on continuous glucose monitoring sensor measurements
M Schiavon, G Acciaroli, M Vettoretti, A Giaretta, R Visentin
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
62018
Calibration of CGM systems
G Acciaroli, M Vettoretti, A Facchinetti, G Sparacino
Glucose Monitoring Devices, 173-201, 2020
32020
G6 continuous glucose monitoring system feature use and its associations with glycaemia in Europe
G Acciaroli, CG Parkin, R Thomas, J Layne, GJ Norman, K Leone
Diabetic Medicine 40 (6), e15093, 2023
22023
Bayesian model selection framework to improve calibration of continuous glucose monitoring sensors for diabetes management
G Acciaroli, M Vettoretti, A Facchinetti, G Sparacino
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
22018
Glucose sensors for diabetes management: no need of 24h warm-up time by use of Bayes estimation
G Acciaroli, M Vettoretti, A Facchinetti, G Sparacino, C Cobelli
Conf Proc IEEE Eng Med Biol Soc, 2015
22015
Longitudinal analysis of users transitioning from the Dexcom G5 to the G6 RT‐CGM system in Germany, Sweden and the United Kingdom (2018–2020)
G Acciaroli, J van der Linden, C Chao, TC Walker, N Oliver
Diabetic Medicine 40 (2), e14946, 2023
12023
Meal and activity logging with a glucose monitoring interface
MA Crawford, L Schertzer, AJ Jackson, DS Kanter, G Acciaroli, ...
US Patent App. 17/556,822, 2022
12022
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