| Accuracy of a CGM sensor in pediatric subjects with type 1 diabetes. Comparison of three insertion sites: arm, abdomen, and gluteus S Faccioli, S Del Favero, R Visentin, R Bonfanti, D Iafusco, I Rabbone, ... Journal of diabetes science and technology 11 (6), 1147-1154, 2017 | 27 | 2017 |
| Black-box model identification of physical activity in type-l diabetes patients S Faccioli, B Ozaslan, JF Garcia-Tirado, M Breton, S Del Favero 2018 40th annual international conference of the IEEE engineering in …, 2018 | 5 | 2018 |
| Linear model identification for personalized prediction and control in diabetes F Simone, F Andrea, S Giovanni, P Gianluigi IEEE Transactions on Biomedical Engineering 69 (2), 558-568, 2021 | 1 | 2021 |
| Nonparametric glucose predictors S Del Favero, A Facchinetti, S Faccioli, G Pillonetto, G Sparacino US Patent App. 17/645,715, 2022 | | 2022 |
| Super–twisting-based meal detector for type 1 diabetes management: Improvement and assessment in a real-life scenario S Faccioli, I Sala-Mira, JL Díez, A Facchinetti, G Sparacino, S Del Favero, ... Computer Methods and Programs in Biomedicine 219, 106736, 2022 | | 2022 |
| Combined Use of Glucose-Specific Model Identification and Alarm Strategy Based on Prediction-Funnel to Improve Online Forecasting of Hypoglycemic Events S Faccioli, F Prendin, A Facchinetti, G Sparacino, S Del Favero Journal of Diabetes Science and Technology, 19322968221093665, 2022 | | 2022 |
| SUPER-TWISTING OBSERVER FOR MEAL DETECTION ASSESSED IN REALISTIC SCENARIOS USING UVA/PADOVA T1D SIMULATOR S Faccioli, I Sala-Mira, JL Diez, A Facchinetti, G Sparacino, S Del Favero, ... DIABETES TECHNOLOGY & THERAPEUTICS 23, A76-A77, 2021 | | 2021 |
| Determinazione di detergenti residui in valvole biologiche decellularizzate S Faccioli | | |
