| 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 | 50 | 2014 |
| 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 | 40 | 2012 |
| 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 | 39 | 2014 |
| 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 | 37 | 2012 |
| 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 | 28 | 2015 |
| 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 | 28 | 2013 |
| 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 | 27 | 2018 |
| 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 | 26 | 2015 |
| 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 | 23 | 2011 |
| 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 | 22 | 2017 |
| 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 | 22 | 2013 |
| 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 | 15 | 2018 |
| 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 | 13 | 2014 |
| 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 | 12 | 2019 |
| Sparse logistic regression: Comparison of regularization and bayesian implementations M Zanon, G Zambonin, GA Susto, S McLoone Algorithms 13 (6), 137, 2020 | 7 | 2020 |
| 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 | 3 | 2023 |
| 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 | 3 | 2020 |
| 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 | 2 | 2021 |
| 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 | 2 | 2021 |
| Non-Invasive Continuous Glucose Monitoring: Identification of Models for Multi-Sensor Systems M Zanon University of Padova, 2013 | 1 | 2013 |
Giovanni SparacinoFull Professor of Biomedical Engineering - University of Padova, Italy在 dei.unipd.it 的电子邮件经过验证
