Mattia Zanon

13 papers Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Human Activity Recognition from Smartphone Sensor Data for Clinical Trials.
CoRR
Stefania Russo, Rafal Klimas, Marta Plonka, Hugo Le Gall, Sven Holm, Dimitar Stanev, Florian Lipsmeier, Mattia Zanon, Lito Kriara
2021 — conf
Simulating the impact of noise on gait features extracted from smartphone sensor-data for the remote assessment of movement disorders.
EMBC
Guy Bogaarts, Mattia Zanon, Frank Dondelinger, Adrian Derungs, Florian Lipsmeier, Christian Gossens, Michael Lindemann
2020 — conf
A quality metric for heart rate variability from photoplethysmogram sensor data.
EMBC
Mattia Zanon, Lito Kriara, Florian Lipsmeier, David Nobbs, Christopher Chatham, Joerg F. Hipp, Michael Lindemann
2020 J jnl
Sparse Logistic Regression: Comparison of Regularization and Bayesian Implementations.
Algorithms
Mattia Zanon, Giuliano Zambonin, Gian Antonio Susto, Seán F. McLoone
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
2017 J jnl
Hypoglycemia-induced EEG complexity changes in Type 1 diabetes assessed by fractal analysis algorithm.
Biomed. Signal Process. Control.
Fabio Scarpa, Maria Rubega, Mattia Zanon, Francesca Finotello, Anne-Sophie Sejling, Giovanni Sparacino
2015 — conf
EEG signal features extraction based on fractal dimension.
EMBC
Francesca Finotello, Fabio Scarpa, Mattia Zanon
2014 — conf
An adaptive machine learning decision system for flexible predictive maintenance.
CASE
Gian Antonio Susto, Jian Wan, Simone Pampuri, Mattia Zanon, Adrian B. Johnston, Paul G. O'Hara, Seán F. McLoone
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
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
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
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