Sparacino, Giovanni

Diabetes: Models, Signals, and Control

Cobelli, C., Dalla Man, C., Sparacino, G., Magni, L., De Nicolao, G., & Kovatchev, B. P. (2009) · IEEE Reviews in Biomedical Engineering

Diabetes Management and ResearchPancreatic function and diabetes

Cited by 511

Continuous glucose monitoring sensors for diabetes management: A review of technologies and applications

Cappon, G., Vettoretti, M., Sparacino, G., & Facchinetti, A. (2019) · Diabetes & Metabolism Journal

Diabetes Management and ResearchElectrochemical sensors and biosensors

Cited by 477

Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors

Vettoretti, M., Cappon, G., Facchinetti, A., & Sparacino, G. (2020) · Sensors

Diabetes Management and ResearchDiabetes Management and Education

Cited by 176

Modeling the glucose sensor error

Facchinetti, A., Del Favero, S., Sparacino, G., Castle, J. R., Ward, W. K., & Cobelli, C. (2014) · IEEE Transactions on Biomedical Engineering

Diabetes Management and ResearchControl Systems and Identification

Cited by 130

Continuous glucose monitoring: Current use in diabetes management and possible future applications

Vettoretti, M., Cappon, G., Acciaroli, G., Facchinetti, A., & Sparacino, G. (2018) · Journal of Diabetes Science and Technology

Diabetes Management and ResearchDiabetes Management and Education

Cited by 96

Model of glucose sensor error components: identification and assessment for new Dexcom G4 generation devices

Facchinetti, A., Del Favero, S., Sparacino, G., & Cobelli, C. (2015) · Medical & Biological Engineering & Computing

Diabetes Management and ResearchElectrochemical sensors and biosensors

Cited by 80

A stochastic deconvolution method to reconstruct insulin secretion rate after a glucose stimulus

Sparacino, G., & Cobelli, C. (1996) · IEEE Transactions on Biomedical Engineering

Pancreatic function and diabetesNumerical methods in inverse problems

Cited by 76

How much is short-term glucose prediction in type 1 diabetes improved by adding insulin delivery and meal content information to CGM data? A Proof-of-Concept Study

Zecchin, C., Facchinetti, A., Sparacino, G., & Cobelli, C. (2016) · Journal of Diabetes Science and Technology

Diabetes Management and ResearchDiabetes Management and Education

Cited by 64

A Neural-network-based approach to personalize insulin bolus calculation using continuous glucose monitoring

Cappon, G., Vettoretti, M., Marturano, F., Facchinetti, A., & Sparacino, G. (2018) · Journal of Diabetes Science and Technology

Diabetes Management and ResearchDiabetes Management and Education

Cited by 62

An Online Failure Detection Method of the Glucose Sensor-Insulin Pump System: Improved Overnight Safety of Type-1 Diabetic Subjects

Facchinetti, A., Favero, S., Sparacino, G., & Cobelli, C. (2013) · IEEE Transactions on Biomedical Engineering

Diabetes Management and ResearchFault Detection and Control Systems

Cited by 62

Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy

Noaro, G., Cappon, G., Vettoretti, M., Sparacino, G., Favero, S. D., & Facchinetti, A. (2021) · IEEE Transactions on Biomedical Engineering

Diabetes Management and ResearchDiabetes Management and Education

Cited by 57

Postprandial glucose fluxes and insulin sensitivity during exercise: A study in healthy individuals

Schiavon, M., Hinshaw, L., Mallad, A., Man, C. D., Sparacino, G., Johnson, M., Carter, R., Basu, R., Kudva, Y., Cobelli, C., et al. (2013) · American Journal of Physiology-Endocrinology and Metabolism

Diabetes, Cardiovascular Risks, and LipoproteinsMuscle metabolism and nutrition

Cited by 45

A real-time continuous glucose monitoring-based algorithm to trigger hypotreatments to prevent/mitigate hypoglycemic events

Camerlingo, N., Vettoretti, M., Del Favero, S., Cappon, G., Sparacino, G., & Facchinetti, A. (2019) · Diabetes Technology & Therapeutics

Diabetes Management and ResearchDiabetes Treatment and Management

Cited by 22

An Integrated Mobile Platform for Automated Data Collection and Real-Time Patient Monitoring in Diabetes Clinical Trials

Cappon, G., Cossu, L., Boscari, F., Bruttomesso, D., Sparacino, G., & Facchinetti, A. (2022) · Journal of Diabetes Science and Technology

Mobile Health and mHealth ApplicationsDiabetes Management and Research

Cited by 18

In Silico Assessment of literature insulin bolus calculation methods accounting for glucose rate of change

Cappon, G., Marturano, F., Vettoretti, M., Facchinetti, A., & Sparacino, G. (2019) · Journal of Diabetes Science and Technology

Diabetes Management and ResearchDiabetes Management and Education

Cited by 18