Mattia Zanon

According to our database, Mattia Zanon authored at least 12 papers between 2011 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Simulating the impact of noise on gait features extracted from smartphone sensor-data for the remote assessment of movement disorders.

Guy Bogaarts, Mattia Zanon, Frank Dondelinger, Adrian Derungs, Florian Lipsmeier, Christian Gossens, Michael Lindemann

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Sparse Logistic Regression: Comparison of Regularization and Bayesian Implementations.

Mattia Zanon, Giuliano Zambonin, Gian Antonio Susto, Seán F. McLoone

Algorithms, 2020

A quality metric for heart rate variability from photoplethysmogram sensor data.

Mattia Zanon, Lito Kriara, Florian Lipsmeier, David Nobbs, Christopher Chatham, Joerg F. Hipp, Michael Lindemann

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Retrospective Continuous-Time Blood Glucose Estimation in Free Living Conditions with a Non-Invasive Multisensor Device.

Giada Acciaroli, Mattia Zanon, Andrea Facchinetti, Andreas Caduff, Giovanni Sparacino

Sensors, 2019

2017

Hypoglycemia-induced EEG complexity changes in Type 1 diabetes assessed by fractal analysis algorithm.

Fabio Scarpa, Maria Rubega, Mattia Zanon, Francesca Finotello, Anne-Sophie Sejling, Giovanni Sparacino

Biomed. Signal Process. Control., 2017

2015

EEG signal features extraction based on fractal dimension.

Francesca Finotello, Fabio Scarpa, Mattia Zanon

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

An adaptive machine learning decision system for flexible predictive maintenance.

Gian Antonio Susto, Jian Wan, Simone Pampuri, Mattia Zanon, Adrian B. Johnston, Paul G. O'Hara, Seán F. McLoone

Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014

2013

Non-Invasive Continuous Glucose Monitoring with Multi-Sensor Systems: A Monte Carlo-Based Methodology for Assessing Calibration Robustness.

Mattia Zanon, Giovanni Sparacino, Andrea Facchinetti, Mark Talary, Martin Mueller, Andreas Caduff, Claudio Cobelli

Sensors, 2013

Regularised Model Identification Improves Accuracy of Multisensor Systems for Noninvasive Continuous Glucose Monitoring in Diabetes Management.

Mattia Zanon, Giovanni Sparacino, Andrea Facchinetti, Mark Talary, Andreas Caduff, Claudio Cobelli

J. Appl. Math., 2013

2012

Italian Contributions to the Development of Continuous Glucose Monitoring Sensors for Diabetes Management.

Giovanni Sparacino, Mattia Zanon, Andrea Facchinetti, Chiara Zecchin, Alberto Maran, Claudio Cobelli

Sensors, 2012

Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system.

Mattia Zanon, Giovanni Sparacino, Andrea Facchinetti, Michela Riz, Mark Talary, Roland E. Suri, Andreas Caduff, Claudio Cobelli

Medical Biol. Eng. Comput., 2012

2011

Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring.

Mattia Zanon, Michela Riz, Giovanni Sparacino, Andrea Facchinetti, Roland E. Suri, Mark S. Talary, Claudio Cobelli

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011