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Journal of Diabetes Science and Technology|September 17, 2020
Mathematical Models of Meal Amount and Timing Variability With Implementation in the Type-1 Diabetes Patient Decision SimulatorNunzio Camerlingo, Martina Vettoretti, Simone Del Favero, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
A New Decision Support System for Type 1 Diabetes ManagementGiacomo Cappon, Giulia Noaro, Nunzio Camerlingo, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
In-silico Assessment of Preventive Hypotreatment Efficacy and Development of a Continuous Glucose Monitoring Based Algorithm to Prevent/Mitigate Hypoglycemia in Type 1 DiabetesNunzio Camerlingo, Martina Vettoretti, Simone Del Favero, et al.
Diabetes Technology & Therapeutics|July 24, 2019
A Real-Time Continuous Glucose Monitoring-Based Algorithm to Trigger Hypotreatments to Prevent/Mitigate Hypoglycemic EventsNunzio Camerlingo, Martina Vettoretti, Simone Del Favero, et al.
Frontiers in Bioengineering and Biotechnology|December 11, 2023
Bayesian denoising algorithm dealing with colored, non-stationary noise in continuous glucose monitoring timeseriesNunzio Camerlingo, Ilaria Siviero, Martina Vettoretti, et al.
IEEE Transactions on Bio-Medical Engineering|March 3, 2025
Regularized Denoising Method for Retrospective Detection of Pressure Induced Artifacts in Continuous Glucose Monitoring Sensors DataEleonora Manzoni, Elena Idi, Nunzio Camerlingo, et al.
Computer Methods and Programs in Biomedicine|December 2, 2023
Risk of hypoglycemia in type 1 diabetes management: An in-silico sensitivity analysis to assess and rank the quantitative impact of different behavioral factorsChiara Roversi, Nunzio Camerlingo, Martina Vettoretti, et al.
Diabetes, Obesity & Metabolism|July 2, 2021
Design of clinical trials to assess diabetes treatment: Minimum duration of continuous glucose monitoring data to estimate time-in-ranges with the desired precisionNunzio Camerlingo, Martina Vettoretti, Giovanni Sparacino, et al.
Scientific Reports|October 24, 2020
An analytical approach to determine the optimal duration of continuous glucose monitoring data required to reliably estimate time in hypoglycemiaNunzio Camerlingo, Martina Vettoretti, Andrea Facchinetti, et al.
Diabetic Medicine : a Journal of the British Diabetic Association|December 4, 2021
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 methodsNunzio Camerlingo, Martina Vettoretti, Giovanni Sparacino, et al.
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