Andrea Facchinetti

84 papers B 1C 4Journal 50Unranked 29

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Addressing Current Unmet Clinical Needs by Co-Designing a Novel Web Interface for Decision Support in Pediatric Type 1 Diabetes. ICHI Luca Cossu, Giacomo Cappon, Elisa Pellizzari, Annalisa Deodati, Riccardo Schiaffini, Stefano Cianfarani, Giovanni Sparacino, Andrea Facchinetti
2025	—	`conf`	Enhancing the Physiological Plausibility of GAN-Generated Blood Glucose in Type 1 Diabetes with Monotonicity Constraints. MetroXRAINE Elisa Pellizzari, Omer Mujahid, Francesco Prendin, Oriol Bustos, Giacomo Cappon, Andrea Facchinetti, Josep Vehí
2025	J	`jnl`	Regularized Denoising Method for Retrospective Detection of Pressure Induced Artifacts in Continuous Glucose Monitoring Sensors Data. IEEE Trans. Biomed. Eng. Eleonora Manzoni, Elena Idi, Nunzio Camerlingo, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero
2025	J	`jnl`	Towards a decision support system for post bariatric hypoglycaemia: development of forecasting algorithms in unrestricted daily-life conditions. BMC Medical Informatics Decis. Mak. Francesco Prendin, Olivia Streicher, Giacomo Cappon, Eva Rolfes, David Herzig, Lia Bally, Andrea Facchinetti
2025	J	`jnl`	Unsupervised Retrospective Detection of Pressure Induced Failures in Continuous Glucose Monitoring Sensors for T1D Management. IEEE J. Biomed. Health Informatics Elena Idi, Eleonora Manzoni, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero
2024	J	`jnl`	A strategy based on integer programming for optimal dosing and timing of preventive hypoglycemic treatments in type 1 diabetes management. Comput. Methods Programs Biomed. Jacopo Pavan, Giulia Noaro, Andrea Facchinetti, Domenico Salvagnin, Giovanni Sparacino, Simone Del Favero
2024	J	`jnl`	Automated pipeline for denoising, missing data processing, and feature extraction for signals acquired via wearable devices in multiple sclerosis and amyotrophic lateral sclerosis applications. Frontiers Digit. Health Luca Cossu, Giacomo Cappon, Andrea Facchinetti
2024	J	`jnl`	Corrigendum to "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 approach". Comput. Methods Programs Biomed. Nunzio Camerlingo, Martina Vettoretti, Simone Del Favero, Andrea Facchinetti, Pratik Choudhary, Giovanni Sparacino
2024	J	`jnl`	Risk of hypoglycemia in type 1 diabetes management: An in-silico sensitivity analysis to assess and rank the quantitative impact of different behavioral factors. Comput. Methods Programs Biomed. Chiara Roversi, Nunzio Camerlingo, Martina Vettoretti, Andrea Facchinetti, Pratik Choudhary, Giovanni Sparacino, Simone Del Favero
2023	C	`conf`	A Deep-Learning Based Algorithm for the Management of Hyperglycemia in Type 1 Diabetes Therapy. BSN Elisa Pellizzari, Francesco Prendin, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti
2023	J	`jnl`	A Markov Model of Gap Occurrence in Continuous Glucose Monitoring Data for Realistic in Silico Clinical Trials. Comput. Methods Programs Biomed. Martina Vettoretti, Martina Drecogna, Simone Del Favero, Andrea Facchinetti, Giovanni Sparacino
2023	J	`jnl`	A Personalized and Adaptive Insulin Bolus Calculator Based on Double Deep Q- Learning to Improve Type 1 Diabetes Management. IEEE J. Biomed. Health Informatics Giulia Noaro, Taiyu Zhu, Giacomo Cappon, Andrea Facchinetti, Pantelis Georgiou
2023	J	`jnl`	A model to forecast the two-year variation of subjective wellbeing in the elderly population. BMC Medical Informatics Decis. Mak. Isotta Trescato, Chiara Roversi, Martina Vettoretti, Barbara Di Camillo, Andrea Facchinetti
2023	C	`conf`	BRAINTEASER Architecture for Integration of AI Models and Interactive Tools for Amyotrophic Lateral Sclerosis (ALS) and Multiple Sclerosis (MS) Progression Prediction and Management. ICOST Vladimir Urosevic, Nikola Vojicic, Aleksandar Jovanovic, Borko Kostic, Sergio González-Martínez, María Fernanda Cabrera-Umpiérrez, Manuel Ottaviano, Luca Cossu, Andrea Facchinetti, Giacomo Cappon
2023	C	`conf`	Detection of compression artifacts in time-series data from continuous glucose monitoring sensors using matched filters. BSN Elena Idi, Francesco Prendin, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero
2023	J	`jnl`	Incorporating Sparse and Quantized Carbohydrates Suggestions in Model Predictive Control for Artificial Pancreas in Type 1 Diabetes. IEEE Trans. Control. Syst. Technol. Jacopo Pavan, Domenico Salvagnin, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero
2023	J	`jnl`	Individualized Models for Glucose Prediction in Type 1 Diabetes: Comparing Black-Box Approaches to a Physiological White-Box One. IEEE Trans. Biomed. Eng. Giacomo Cappon, Francesco Prendin, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero
2023	J	`jnl`	ReplayBG: A Digital Twin-Based Methodology to Identify a Personalized Model From Type 1 Diabetes Data and Simulate Glucose Concentrations to Assess Alternative Therapies. IEEE Trans. Biomed. Eng. Giacomo Cappon, Martina Vettoretti, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti
2023	C	`conf`	System Architecture of TWIN: A New Digital Twin-Based Clinical Decision Support System for Type 1 Diabetes Management in Children. BSN Giacomo Cappon, Elisa Pellizzari, Luca Cossu, Giovanni Sparacino, Annalisa Deodati, Riccardo Schiaffini, Stefano Cianfarani, Andrea Facchinetti
2022	J	`jnl`	Assessment of Seasonal Stochastic Local Models for Glucose Prediction without Meal Size Information under Free-Living Conditions. Sensors Francesco Prendin, José-Luis Díez, Simone Del Favero, Giovanni Sparacino, Andrea Facchinetti, Jorge Bondia
2022	J	`jnl`	Generation of post-meal insulin correction boluses in type 1 diabetes simulation models for Comput. Methods Programs Biomed. Nunzio Camerlingo, Martina Vettoretti, Simone Del Favero, Andrea Facchinetti, Pratik Choudhary, Giovanni Sparacino
2022	J	`jnl`	Linear Model Identification for Personalized Prediction and Control in Diabetes. IEEE Trans. Biomed. Eng. Simone Faccioli, Andrea Facchinetti, Giovanni Sparacino, Gianluigi Pillonetto, Simone Del Favero
2022	J	`jnl`	Super-twisting-based meal detector for type 1 diabetes management: Improvement and assessment in a real-life scenario. Comput. Methods Programs Biomed. Simone Faccioli, Iván Sala-Mira, José-Luis Díez, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero, Jorge Bondia
2021	—	`conf`	A Correction Insulin Bolus Delivery Strategy for Decision Support Systems in Type 1 Diabetes. EMBC Giacomo Cappon, Emanuele Pighin, Francesco Prendin, Giovanni Sparacino, Andrea Facchinetti
2021	—	`conf`	A Mathematical Formula to Determine the Minimum Continuous Glucose Monitoring Duration to Assess Time-in-ranges: Sensitivity Analysis Over the Parameters. EMBC Nunzio Camerlingo, Martina Vettoretti, Giovanni Sparacino, Andrea Facchinetti, Julia K. Mader, Pratik Choudhary, Simone Del Favero
2021	—	`conf`	A New Decision Support System for Type 1 Diabetes Management. EMBC Giacomo Cappon, Giulia Noaro, Nunzio Camerlingo, Luca Cossu, Giovanni Sparacino, Andrea Facchinetti
2021	—	`conf`	An Ensemble Learning Algorithm Based on Dynamic Voting for Targeting the Optimal Insulin Dosage in Type 1 Diabetes Management. EMBC Giulia Noaro, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti
2021	—	`conf`	Data Gap Modeling in Continuous Glucose Monitoring Sensor Data. EMBC Martina Drecogna, Martina Vettoretti, Simone Del Favero, Andrea Facchinetti, Giovanni Sparacino
2021	J	`jnl`	Forecasting of Glucose Levels and Hypoglycemic Events: Head-to-Head Comparison of Linear and Nonlinear Data-Driven Algorithms Based on Continuous Glucose Monitoring Data Only. Sensors Francesco Prendin, Simone Del Favero, Martina Vettoretti, Giovanni Sparacino, Andrea Facchinetti
2021	J	`jnl`	Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy. IEEE Trans. Biomed. Eng. Giulia Noaro, Giacomo Cappon, Martina Vettoretti, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti
2021	J	`jnl`	Model-Based Detection and Classification of Insulin Pump Faults and Missed Meal Announcements in Artificial Pancreas Systems for Type 1 Diabetes Therapy. IEEE Trans. Biomed. Eng. Lorenzo Meneghetti, Andrea Facchinetti, Simone Del Favero
2021	—	`conf`	Predicting hypertension onset using logistic regression models with labs and/or easily accessible variables: the role of blood pressure measurements. BHI Chiara Roversi, Martina Vettoretti, Barbara Di Camillo, Andrea Facchinetti
2020	—	`conf`	A Personalized and Interpretable Deep Learning Based Approach to Predict Blood Glucose Concentration in Type 1 Diabetes. KDH@ECAI Giacomo Cappon, Lorenzo Meneghetti, Francesco Prendin, Jacopo Pavan, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti
2020	J	`jnl`	Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors. Sensors Martina Vettoretti, Giacomo Cappon, Andrea Facchinetti, Giovanni Sparacino
2020	—	`conf`	Nonlinear Machine Learning Models for Insulin Bolus Estimation in Type 1 Diabetes Therapy. EMBC Giulia Noaro, Giacomo Cappon, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti
2020	—	`conf`	Personalized Machine Learning Algorithm based on Shallow Network and Error Imputation Module for an Improved Blood Glucose Prediction. KDH@ECAI Jacopo Pavan, Francesco Prendin, Lorenzo Meneghetti, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti, Simone Del Favero
2019	—	`conf`	A Bayesian Framework to Identify Type 1 Diabetes Physiological Models Using Easily Accessible Patient Data. EMBC Giacomo Cappon, Andrea Facchinetti, Giovanni Sparacino, Simone Del Favero
2019	J	`jnl`	Classification of Postprandial Glycemic Status with Application to Insulin Dosing in Type 1 Diabetes - An In Silico Proof-of-Concept. Sensors Giacomo Cappon, Andrea Facchinetti, Giovanni Sparacino, Pantelis Georgiou, Pau Herrero
2019	J	`jnl`	Development of an Error Model for a Factory-Calibrated Continuous Glucose Monitoring Sensor with 10-Day Lifetime. Sensors Martina Vettoretti, Cristina Battocchio, Giovanni Sparacino, Andrea Facchinetti
2019	—	`conf`	In-silico Assessment of Preventive Hypotreatment Efficacy and Development of a Continuous Glucose Monitoring Based Algorithm to Prevent/Mitigate Hypoglycemia in Type 1 Diabetes. EMBC Nunzio Camerlingo, Martina Vettoretti, Simone Del Favero, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti
2019	—	`conf`	Modeling the error of factory-calibrated continuous glucose monitoring sensors: application to Dexcom G6 sensor data. EMBC Martina Vettoretti, Simone Del Favero, Giovanni Sparacino, Andrea Facchinetti
2019	J	`jnl`	Prediction of Adverse Glycemic Events From Continuous Glucose Monitoring Signal. IEEE J. Biomed. Health Informatics Matteo Gadaleta, Andrea Facchinetti, Enrico Grisan, Michele Rossi
2019	J	`jnl`	Retrospective Continuous-Time Blood Glucose Estimation in Free Living Conditions with a Non-Invasive Multisensor Device. Sensors Giada Acciaroli, Mattia Zanon, Andrea Facchinetti, Andreas Caduff, Giovanni Sparacino
2019	J	`jnl`	What do healthcare professionals need to turn risk models for type 2 diabetes into usable computerized clinical decision support systems? Lessons learned from the MOSAIC project. BMC Medical Informatics Decis. Mak. Giuseppe Fico, Liss Hernández, Jorge Cancela, Arianna Dagliati, Lucia Sacchi, Antonio Martinez-Millana, Jorge Posada, Lidia Manero, Jose Verdú, Andrea Facchinetti, Manuel Ottaviano, Konstantia Zarkogianni, Konstantina S. Nikita, Leif Groop, Rafael Gabriel, Luca Chiovato, Vicente Traver, Juan Francisco Merino-Torres, Claudio Cobelli, Riccardo Bellazzi, María Teresa Arredondo
2018	—	`conf`	Bayesian Model Selection Framework to Improve Calibration of Continuous Glucose Monitoring Sensors for Diabetes Management. EMBC Giada Acciaroli, Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino
2018	J	`jnl`	Glycaemic variability-based classification of impaired glucose tolerance vs. type 2 diabetes using continuous glucose monitoring data. Comput. Biol. Medicine Enrico Longato, Giada Acciaroli, Andrea Facchinetti, Liisa Hakaste, Tuomi Tiinamaija, Alberto Maran, Giovanni Sparacino
2018	—	`conf`	Importance of Recalibrating Models for Type 2 Diabetes Onset Prediction: Application of the Diabetes Population Risk Tool on the Health and Retirement Study. EMBC Martina Vettoretti, Enrico Longato, Barbara Di Camillo, Andrea Facchinetti
2018	—	`conf`	Non-Invasive Continuous-Time Blood Pressure Estimation from a Single Channel PPG Signal using Regularized ARX Models. EMBC Giada Acciaroli, Andrea Facchinetti, Gianluigi Pillonetto, Giovanni Sparacino
2018	—	`conf`	Optimal Insulin Bolus Dosing in Type 1 Diabetes Management: Neural Network Approach Exploiting CGM Sensor Information. EMBC Giacomo Cappon, Martina Vettoretti, Francesca Marturano, Andrea Facchinetti, Giovanni Sparacino
2018	J	`jnl`	Reduction of Blood Glucose Measurements to Calibrate Subcutaneous Glucose Sensors: A Bayesian Multiday Framework. IEEE Trans. Biomed. Eng. Giada Acciaroli, Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2018	J	`jnl`	Type-1 Diabetes Patient Decision Simulator for In Silico Testing Safety and Effectiveness of Insulin Treatments. IEEE Trans. Biomed. Eng. Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2017	—	`conf`	A telemonitoring service supporting preterm newborns care in a neonatal intensive care unit. RTSI Eleonora Losiouk, Giordano Lanzola, Alfonso Galderisi, Daniele Trevisanuto, Garry M. Steil, Andrea Facchinetti, Claudio Cobelli
2017	J	`jnl`	Modeling the Error of the Medtronic Paradigm Veo Enlite Glucose Sensor. Sensors Lyvia Biagi, Charrise Mary Ramkissoon, Andrea Facchinetti, Yenny Leal, Josep Vehí
2016	J	`jnl`	Continuous Glucose Monitoring Sensors: Past, Present and Future Algorithmic Challenges. Sensors Andrea Facchinetti
2016	J	`jnl`	Online Calibration of Glucose Sensors From the Measured Current by a Time-Varying Calibration Function and Bayesian Priors. IEEE Trans. Biomed. Eng. Martina Vettoretti, Andrea Facchinetti, Simone Del Favero, Giovanni Sparacino, Claudio Cobelli
2016	J	`jnl`	Remote Blood Glucose Monitoring in Sensors Giordano Lanzola, Eleonora Losiouk, Simone Del Favero, Andrea Facchinetti, Alfonso Galderisi, Silvana Quaglini, Lalo Magni, Claudio Cobelli
2015	—	`conf`	A Bayesian Network analysis of the probabilistic relations between risk factors in the predisposition to type 2 diabetes. EMBC Francesco Sambo, Barbara Di Camillo, Alberto Franzin, Andrea Facchinetti, Liisa Hakaste, Jasmina Kravic, Giuseppe Fico, Jaakko Tuomilehto, Leif Groop, Rafael Gabriel, Tuomi Tiinamaija, Claudio Cobelli
2015	B	`conf`	A Bayesian Network for Probabilistic Reasoning and Imputation of Missing Risk Factors in Type 2 Diabetes. AIME Francesco Sambo, Andrea Facchinetti, Liisa Hakaste, Jasmina Kravic, Barbara Di Camillo, Giuseppe Fico, Jaakko Tuomilehto, Leif Groop, Rafael Gabriel, Tuomi Tiinamaija, Claudio Cobelli
2015	—	`conf`	Accuracy of devices for self-monitoring of blood glucose: A stochastic error model. EMBC Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2015	J	`jnl`	Model of glucose sensor error components: identification and assessment for new Dexcom G4 generation devices. Medical Biol. Eng. Comput. Andrea Facchinetti, Simone Del Favero, Giovanni Sparacino, Claudio Cobelli
2015	—	`conf`	Patient decision-making of CGM sensor driven insulin therapies in type 1 diabetes: In silico assessment. EMBC Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2014	—	`conf`	Can continuous glucose monitoring identify risk factors in type 1 and type 2 diabetes? A literature review. BHI Miguel M. Isabel, Jorge Cancela, Giuseppe Fico, Andrea Facchinetti, Claudio Cobelli, María Teresa Arredondo
2014	J	`jnl`	Improving Accuracy and Precision of Glucose Sensor Profiles: Retrospective Fitting by Constrained Deconvolution. IEEE Trans. Biomed. Eng. Simone Del Favero, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2014	J	`jnl`	Jump neural network for online short-time prediction of blood glucose from continuous monitoring sensors and meal information. Comput. Methods Programs Biomed. Chiara Zecchin, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2014	J	`jnl`	Modeling the Glucose Sensor Error. IEEE Trans. Biomed. Eng. Andrea Facchinetti, Simone Del Favero, Giovanni Sparacino, Jessica Castle, W. Kenneth Ward, Claudio Cobelli
2014	—	`conf`	Sparse Principal Component Analysis for the parsimonious description of glucose variability in diabetes. EMBC Chiara Fabris, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2013	J	`jnl`	An Online Failure Detection Method of the Glucose Sensor-Insulin Pump System: Improved Overnight Safety of Type-1 Diabetic Subjects. IEEE Trans. Biomed. Eng. Andrea Facchinetti, Simone Del Favero, Giovanni Sparacino, Claudio Cobelli
2013	—	`conf`	Neural Network for Prediction of Glucose Concentration in Type 1 Diabetic Patients. SCAI Chiara Zecchin, Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2013	J	`jnl`	Non-Invasive Continuous Glucose Monitoring with Multi-Sensor Systems: A Monte Carlo-Based Methodology for Assessing Calibration Robustness. Sensors Mattia Zanon, Giovanni Sparacino, Andrea Facchinetti, Mark Talary, Martin Mueller, Andreas Caduff, Claudio Cobelli
2013	J	`jnl`	Regularised Model Identification Improves Accuracy of Multisensor Systems for Noninvasive Continuous Glucose Monitoring in Diabetes Management. J. Appl. Math. Mattia Zanon, Giovanni Sparacino, Andrea Facchinetti, Mark Talary, Andreas Caduff, Claudio Cobelli
2012	J	`jnl`	A Glucose-Specific Metric to Assess Predictors and Identify Models. IEEE Trans. Biomed. Eng. Simone Del Favero, Andrea Facchinetti, Claudio Cobelli
2012	J	`jnl`	Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms. BMC Bioinform. Marco Falda, Stefano Toppo, Alessandro Pescarolo, Enrico Lavezzo, Barbara Di Camillo, Andrea Facchinetti, Elisa Cilia, Riccardo Velasco, Paolo Fontana
2012	J	`jnl`	Enhancing the Accuracy of Subcutaneous Glucose Sensors: A Real-Time Deconvolution-Based Approach. IEEE Trans. Biomed. Eng. Stefania Guerra, Andrea Facchinetti, Giovanni Sparacino, Giuseppe De Nicolao, Claudio Cobelli
2012	J	`jnl`	Italian Contributions to the Development of Continuous Glucose Monitoring Sensors for Diabetes Management. Sensors Giovanni Sparacino, Mattia Zanon, Andrea Facchinetti, Chiara Zecchin, Alberto Maran, Claudio Cobelli
2012	J	`jnl`	Neural Network Incorporating Meal Information Improves Accuracy of Short-Time Prediction of Glucose Concentration. IEEE Trans. Biomed. Eng. Chiara Zecchin, Andrea Facchinetti, Giovanni Sparacino, Giuseppe De Nicolao, Claudio Cobelli
2012	J	`jnl`	Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system. Medical Biol. Eng. Comput. Mattia Zanon, Giovanni Sparacino, Andrea Facchinetti, Michela Riz, Mark Talary, Roland E. Suri, Andreas Caduff, Claudio Cobelli
2011	—	`conf`	A new neural network approach for short-term glucose prediction using continuous glucose monitoring time-series and meal information. EMBC Chiara Zecchin, Andrea Facchinetti, Giovanni Sparacino, Giuseppe De Nicolao, Claudio Cobelli
2011	—	`conf`	Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring. EMBC Mattia Zanon, Michela Riz, Giovanni Sparacino, Andrea Facchinetti, Roland E. Suri, Mark S. Talary, Claudio Cobelli
2011	—	`conf`	Detecting failures of the glucose sensor-insulin pump system: Improved overnight safety monitoring for Type-1 diabetes. EMBC Andrea Facchinetti, Simone Del Favero, Giovanni Sparacino, Claudio Cobelli
2011	J	`jnl`	Online Denoising Method to Handle Intraindividual Variability of Signal-to-Noise Ratio in Continuous Glucose Monitoring. IEEE Trans. Biomed. Eng. Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2010	J	`jnl`	"Smart" Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues. Sensors Giovanni Sparacino, Andrea Facchinetti, Claudio Cobelli
2010	J	`jnl`	An Online Self-Tunable Method to Denoise CGM Sensor Data. IEEE Trans. Biomed. Eng. Andrea Facchinetti, Giovanni Sparacino, Claudio Cobelli
2007	J	`jnl`	Glucose Concentration can be Predicted Ahead in Time From Continuous Glucose Monitoring Sensor Time-Series. IEEE Trans. Biomed. Eng. Giovanni Sparacino, Francesca Zanderigo, Stefano Corazza, Alberto Maran, Andrea Facchinetti, Claudio Cobelli
2006	—	`conf`	Reconstructing by Deconvolution Plasma Glucose from Continuous Glucose Monitoring Sensor Data. EMBC Andrea Facchinetti, Giovanni Sparacino, Francesca Zanderigo, Claudio Cobelli