MENEGHETTI, LORENZO

MENEGHETTI, LORENZO  

Università di Padova  

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Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
A personalized and interpretable deep learning based approach to predict blood glucose concentration in type 1 diabetes 2020 Cappon G.Meneghetti L.Prendin F.Pavan J.Sparacino G.Del Favero S.Facchinetti A. - CEUR WORKSHOP PROCEEDINGS CEUR Workshop Proceedings
Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas 2020 Lorenzo MeneghettiMatteo TerziSimone Del FaveroGian Antonio SustoClaudio Cobelli IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY - -
Detection of Insulin Pump Malfunctioning to Improve Safety in Artificial Pancreas Using Unsupervised Algorithms 2019 Meneghetti L.Susto G. A.Del Favero S. JOURNAL OF DIABETES SCIENCE AND TECHNOLOGY - -
Fault Detection in Artificial Pancreas: A Model-Free approach 2018 Lorenzo MeneghettiMatteo TerziGian Antonio SustoSimone Del FaveroClaudio Cobelli - - Proceeding of the 57th IEEE Conference on Decision and Control
In Silico Assessment of State-of-Art and New Algorithms for Real-time Basal Insulin Modulation in Sensor-Augmented Pumps 2017 Vettoretti MartinaMeneghetti LorenzoSparacino GiovanniFacchinetti Andrea + - - Conference Proceedings of the 17th Annual Diabetes Technology Meeting (DTM)
Machine Learning-Based Anomaly Detection Algorithms to Alert Patients Using Sensor Augmented Pump of Infusion Site Failures 2022 Meneghetti L.Del Favero S. + JOURNAL OF DIABETES SCIENCE AND TECHNOLOGY - -
Model-Based Detection and Classification of Insulin Pump Faults and Missed Meal Announcements in Artificial Pancreas Systems for Type 1 Diabetes Therapy 2021 Meneghetti L.Facchinetti A.Favero S. D. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING - -
Personalized machine learning algorithm based on shallow network and error imputation module for an improved blood glucose prediction 2020 Pavan J.Prendin F.Meneghetti L.Cappon G.Sparacino G.Facchinetti A.Del Favero S. - CEUR WORKSHOP PROCEEDINGS CEUR Workshop Proceedings
Real- time Basal Insulin Attenuation Based on Continuous Glucose Monitoring (CGM): Assessment of State-of-Art Algorithms in 14-Day in Silico Scenario 2017 VETTORETTI, MARTINAFacchinetti AndreaMENEGHETTI, LORENZOSparacino GiovanniCobelli Claudio + DIABETES TECHNOLOGY & THERAPEUTICS - Abstract from ATTD 2017 10th International Conference on Advanced Technologies & Treatment for Diabetes
System for detecting malfunctions in insulin delivery devices 2019 S. Del FaveroL. MeneghettiT. MatteoG. A. SustoC. Cobelli - - -