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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
2512017
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
1122018
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
872018
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
592018
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
472018
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
382017
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
282016
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
222022
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
202020
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
182018
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
172018
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
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
122019
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
72018
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
62023
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
62022
Calibration of CGM systems
G Acciaroli, M Vettoretti, A Facchinetti, G Sparacino
Glucose Monitoring Devices, 173-201, 2020
42020
Glucose measurement predictions using stacked machine learning models
M Derdzinski, J van der Linden, R Dowd, LH Jepson, G Acciaroli
US Patent App. 17/334,448, 2021
32021
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
22023
Hypoglycemic event prediction using machine learning
G Acciaroli, M Derdzinski, LH Jepson, AS Parker
US Patent App. 17/114,106, 2021
22021
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