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Mattia Zanon
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2020 – today
- 2021
- [c5]Guy Bogaarts, Mattia Zanon, Frank Dondelinger, Adrian Derungs, Florian Lipsmeier, Christian Gossens, Michael Lindemann:
Simulating the impact of noise on gait features extracted from smartphone sensor-data for the remote assessment of movement disorders. EMBC 2021: 6905-6910 - 2020
- [j7]Mattia Zanon, Giuliano Zambonin, Gian Antonio Susto, Seán F. McLoone:
Sparse Logistic Regression: Comparison of Regularization and Bayesian Implementations. Algorithms 13(6): 137 (2020) - [c4]Mattia Zanon, Lito Kriara, Florian Lipsmeier, David Nobbs, Christopher Chatham, Joerg F. Hipp, Michael Lindemann:
A quality metric for heart rate variability from photoplethysmogram sensor data. EMBC 2020: 706-709
2010 – 2019
- 2019
- [j6]Giada Acciaroli, Mattia Zanon, Andrea Facchinetti, Andreas Caduff, Giovanni Sparacino:
Retrospective Continuous-Time Blood Glucose Estimation in Free Living Conditions with a Non-Invasive Multisensor Device. Sensors 19(17): 3677 (2019) - 2017
- [j5]Fabio Scarpa, Maria Rubega, Mattia Zanon, Francesca Finotello, Anne-Sophie Sejling, Giovanni Sparacino:
Hypoglycemia-induced EEG complexity changes in Type 1 diabetes assessed by fractal analysis algorithm. Biomed. Signal Process. Control. 38: 168-173 (2017) - 2015
- [c3]Francesca Finotello, Fabio Scarpa, Mattia Zanon:
EEG signal features extraction based on fractal dimension. EMBC 2015: 4154-4157 - 2014
- [c2]Gian Antonio Susto, Jian Wan, Simone Pampuri, Mattia Zanon, Adrian B. Johnston, Paul G. O'Hara, Seán F. McLoone:
An adaptive machine learning decision system for flexible predictive maintenance. CASE 2014: 806-811 - 2013
- [j4]Mattia Zanon, Giovanni Sparacino, Andrea Facchinetti, Mark Talary, Andreas Caduff, Claudio Cobelli:
Regularised Model Identification Improves Accuracy of Multisensor Systems for Noninvasive Continuous Glucose Monitoring in Diabetes Management. J. Appl. Math. 2013: 793869:1-793869:10 (2013) - [j3]Mattia Zanon, Giovanni Sparacino, Andrea Facchinetti, Mark Talary, Martin Mueller, Andreas Caduff, Claudio Cobelli:
Non-Invasive Continuous Glucose Monitoring with Multi-Sensor Systems: A Monte Carlo-Based Methodology for Assessing Calibration Robustness. Sensors 13(6): 7279-7295 (2013) - 2012
- [j2]Mattia Zanon, Giovanni Sparacino, Andrea Facchinetti, Michela Riz, Mark Talary, Roland E. Suri, Andreas Caduff, Claudio Cobelli:
Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system. Medical Biol. Eng. Comput. 50(10): 1047-1057 (2012) - [j1]Giovanni Sparacino, Mattia Zanon, Andrea Facchinetti, Chiara Zecchin, Alberto Maran, Claudio Cobelli:
Italian Contributions to the Development of Continuous Glucose Monitoring Sensors for Diabetes Management. Sensors 12(10): 13753-13780 (2012) - 2011
- [c1]Mattia Zanon, Michela Riz, Giovanni Sparacino, Andrea Facchinetti, Roland E. Suri, Mark S. Talary, Claudio Cobelli:
Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring. EMBC 2011: 2538-2541
Coauthor Index
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