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Mattia Zanon
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Glucose variability indices in type 1 diabetes: parsimonious set of indices revealed by sparse principal component analysis
C Fabris, A Facchinetti, G Sparacino, M Zanon, S Guerra, A Maran, ...
Diabetes technology & therapeutics 16 (10), 644-652, 2014
502014
Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the multisensor system
M Zanon, G Sparacino, A Facchinetti, M Riz, MS Talary, RE Suri, A Caduff, ...
Medical & biological engineering & computing 50, 1047-1057, 2012
412012
An adaptive machine learning decision system for flexible predictive maintenance
GA Susto, J Wan, S Pampuri, M Zanon, AB Johnston, PG O'Hara, ...
2014 IEEE international conference on automation science and engineering …, 2014
392014
Italian contributions to the development of continuous glucose monitoring sensors for diabetes management
G Sparacino, M Zanon, A Facchinetti, C Zecchin, A Maran, C Cobelli
Sensors 12 (10), 13753-13780, 2012
382012
EEG signal features extraction based on fractal dimension
F Finotello, F Scarpa, M Zanon
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
282015
Non-invasive continuous glucose monitoring with multi-sensor systems: a Monte Carlo-based methodology for assessing calibration robustness
M Zanon, G Sparacino, A Facchinetti, MS Talary, M Mueller, A Caduff, ...
Sensors 13 (6), 7279-7295, 2013
282013
First experiences with a wearable multisensor device in a noninvasive continuous glucose monitoring study at home, part II: the investigators’ view
M Zanon, M Mueller, P Zakharov, MS Talary, M Donath, WA Stahel, ...
Journal of diabetes science and technology 12 (3), 554-561, 2018
272018
The effect of a global, subject, and device-specific model on a noninvasive glucose monitoring multisensor system
A Caduff, M Zanon, M Mueller, P Zakharov, Y Feldman, O De Feo, ...
Journal of diabetes science and technology 9 (4), 865-872, 2015
262015
Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring
M Zanon, M Riz, G Sparacino, A Facchinetti, RE Suri, MS Talary, ...
2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011
232011
Hypoglycemia-induced EEG complexity changes in Type 1 diabetes assessed by fractal analysis algorithm
F Scarpa, M Rubega, M Zanon, F Finotello, AS Sejling, G Sparacino
Biomedical Signal Processing and Control 38, 168-173, 2017
222017
Regularised model identification improves accuracy of multisensor systems for noninvasive continuous glucose monitoring in diabetes management
M Zanon, G Sparacino, A Facchinetti, MS Talary, A Caduff, C Cobelli
Journal of Applied Mathematics 2013 (1), 793869, 2013
222013
First experiences with a wearable multisensor in an outpatient glucose monitoring study, part I: the users’ view
A Caduff, M Zanon, P Zakharov, M Mueller, M Talary, A Krebs, WA Stahel, ...
Journal of diabetes science and technology 12 (3), 562-568, 2018
152018
Root cause analysis by a combined sparse classification and Monte Carlo approach
M Zanon, GA Susto, S McLoone
IFAC Proceedings Volumes 47 (3), 1947-1952, 2014
132014
Retrospective continuous-time blood glucose estimation in free living conditions with a non-invasive multisensor device
G Acciaroli, M Zanon, A Facchinetti, A Caduff, G Sparacino
Sensors 19 (17), 3677, 2019
122019
Sparse logistic regression: Comparison of regularization and bayesian implementations
M Zanon, G Zambonin, GA Susto, S McLoone
Algorithms 13 (6), 137, 2020
52020
A quality metric for heart rate variability from photoplethysmogram sensor data
M Zanon, L Kriara, F Lipsmeier, D Nobbs, C Chatham, J Hipp, ...
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
32020
Simulating the impact of noise on gait features extracted from smartphone sensor-data for the remote assessment of movement disorders
G Bogaarts, M Zanon, F Dondelinger, A Derungs, F Lipsmeier, C Gossens, ...
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
22021
Novel smartphone sensor-based scores for remote measurement of gait and hand function impairment in people with MS
D Rukina, G Bogaarts, F Dondelinger, S Hubeaux, M Zanon, L Craveiro, ...
Mult Scler 27 (2 Supplement), P306, 2021
22021
An observational study to assess validity and reliability of smartphone sensor-based gait and balance assessments in multiple sclerosis: Floodlight GaitLab protocol
MD Rinderknecht, M Zanon, TA Boonstra, L Angelini, D Stanev, GG Chan, ...
Digital Health 9, 20552076231205284, 2023
12023
Non-Invasive Continuous Glucose Monitoring: Identification of Models for Multi-Sensor Systems
M Zanon
University of Padova, 2013
12013
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