| 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 | 237 | 2017 |
| 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 | 105 | 2018 |
| 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 | 81 | 2018 |
| 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 | 53 | 2018 |
| 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 | 44 | 2018 |
| 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 | 36 | 2017 |
| 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 | 27 | 2016 |
| 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 | 19 | 2020 |
| 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 | 18 | 2018 |
| 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 | 15 | 2022 |
| 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 | 15 | 2018 |
| 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 | 12 | 2018 |
| 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 | 11 | 2019 |
| 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 | 6 | 2018 |
| 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 | 4 | 2023 |
| 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 | 3 | 2022 |
| Calibration of CGM systems G Acciaroli, M Vettoretti, A Facchinetti, G Sparacino Glucose Monitoring Devices, 173-201, 2020 | 3 | 2020 |
| 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 | 2 | 2023 |
| 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 | 2 | 2018 |
| Glucose sensors for diabetes management: no need of 24h warm-up time by the use of Bayes estimation G Acciaroli, M Vettoretti, A Facchinetti, G Sparacino 37th Annual International Conference of the IEEE Engineering in Medicine and …, 2015 | 2 | 2015 |
