A real-time continuous glucose monitoring–based algorithm to trigger hypotreatments to prevent/mitigate hypoglycemic events N Camerlingo, M Vettoretti, S Del Favero, G Cappon, G Sparacino, ... Diabetes Technology & Therapeutics 21 (11), 644-655, 2019 | 23 | 2019 |
Design of clinical trials to assess diabetes treatment: Minimum duration of continuous glucose monitoring data to estimate time‐in‐ranges with the desired precision N Camerlingo, M Vettoretti, G Sparacino, A Facchinetti, JK Mader, ... Diabetes, Obesity and Metabolism 23 (11), 2446-2454, 2021 | 9 | 2021 |
An analytical approach to determine the optimal duration of continuous glucose monitoring data required to reliably estimate time in hypoglycemia N Camerlingo, M Vettoretti, A Facchinetti, G Sparacino, JK Mader, ... Scientific Reports 10 (1), 18180, 2020 | 9 | 2020 |
Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for in-silico clinical trials: More realistic scenarios obtained using a decision tree … N Camerlingo, M Vettoretti, S Del Favero, A Facchinetti, P Choudhary, ... Computer Methods and Programs in Biomedicine 221, 106862, 2022 | 6 | 2022 |
Mathematical models of meal amount and timing variability with implementation in the type-1 diabetes patient decision simulator N Camerlingo, M Vettoretti, S Del Favero, A Facchinetti, G Sparacino Journal of Diabetes Science and Technology 15 (2), 346-359, 2021 | 5 | 2021 |
877-P: Limits of correlation coefficient analysis in determining the minimal duration of CGM data needed to estimate time below range N Camerlingo, M Vettoretti, M Cigler, A Facchinetti, G Sparacino, ... Diabetes 69 (Supplement_1), 2020 | 4 | 2020 |
Choosing the duration of continuous glucose monitoring for reliable assessment of time in range: A new analytical approach to overcome the limitations of correlation‐based methods N Camerlingo, M Vettoretti, G Sparacino, A Facchinetti, JK Mader, ... Diabetic Medicine 39 (5), e14758, 2022 | 2 | 2022 |
In-lab Assessment of a Sternum-Worn Accelerometer to Measure Gait Speed in Healthy Individuals (P3-11.010) N Camerlingo, M Welbourn, DJ Psaltos, A Messere, H Zhang, ... Neurology 100 (17 Supplement 2), 2023 | 1 | 2023 |
A Mathematical Formula to Determine the Minimum Continuous Glucose Monitoring Duration to Assess Time-in-ranges: Sensitivity Analysis Over the Parameters N Camerlingo, M Vettoretti, G Sparacino, A Facchinetti, JK Mader, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 1 | 2021 |
A new decision support system for type 1 diabetes management G Cappon, G Noaro, N Camerlingo, L Cossu, G Sparacino, A Facchinetti 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 1 | 2021 |
In-silico assessment of preventive hypotreatment efficacy and development of a continuous glucose monitoring based algorithm to prevent/mitigate hypoglycemia in type 1 diabetes N Camerlingo, M Vettoretti, S Del Favero, G Cappon, G Sparacino, ... 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 1 | 2019 |
Risk of hypoglycemia in type 1 diabetes management: An in-silico sensitivity analysis to assess and rank the quantitative impact of different behavioral factors C Roversi, N Camerlingo, M Vettoretti, A Facchinetti, P Choudhary, ... Computer Methods and Programs in Biomedicine 244, 107943, 2024 | | 2024 |
Monitoring gait and physical activity of elderly frail individuals in free-living environment: a feasibility study N Camerlingo, NS Kabiri, DJ Psaltos, M Kelly, MK Wicker, I Messina, ... Gerontology, 2023 | | 2023 |
138-LB: A Retrospective Algorithm to Identify Meal Intakes from CGM Time Series N CAMERLINGO, N SHAAFI KABIRI, D PSALTOS, ... Diabetes 72 (Supplement_1), 2023 | | 2023 |
Bayesian denoising algorithm dealing with colored, non-stationary noise in continuous glucose monitoring timeseries N Camerlingo, I Siviero, M Vettoretti, G Sparacino, S Del Favero, ... Frontiers in Bioengineering and Biotechnology 11, 2023 | | 2023 |
Migliorare la gestione dell'ipoglicemia nel diabete di tipo 1 mediante sensori CGM: modelli del comportamento del paziente, ottimizzazione della durata di monitoraggio nei … N Camerlingo Università degli studi di Padova, 2022 | | 2022 |
Real-time continuous glucose monitoring based method to trigger carbohydrates assumption to revent/mitigate hypoglycemic events G Sparacino, N Camerlingo, M Vettoretti, A Facchinetti, S Del Favero, ... US Patent App. 17/291,158, 2022 | | 2022 |
BEHAVIORAL MODEL OF POST-MEAL INSULIN CORRECTION BOLUS INJECTIONS IN TYPE 1 DIABETES INDIVIDUALS UNDER FREE-LIVING CONDITIONS N Camerlingo, M Vettoretti, S Del Favero, A Facchinetti, G Sparacino DIABETES TECHNOLOGY & THERAPEUTICS 23, A65-A65, 2021 | | 2021 |
Determining the minimum duration of CGM monitoring to accurately estimate time below range N Camerlingo, M Vettoretti, A Facchinetti, JK Mader, P Choudhary, ... DIABETOLOGIA 63 (SUPPL 1), S361-S362, 2020 | | 2020 |
A new real-time algorithm for preventive hypotreatments generation allows reducing frequency and duration of hypoglycemia N Camerlingo, M Vettoretti, G Cappon, S DEL FAVERO, G Sparacino, ... 2019 Diabetes Technology Meeting Abstracts 14, 14-14, 2020 | | 2020 |