Mattia Zanon

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Giovanni SparacinoFull Professor of Biomedical Engineering - University of Padova, ItalyDirección de correo verificada de dei.unipd.it
Andrea FacchinettiAssociate Professor, Department of Information Engineering, University of PadovaDirección de correo verificada de dei.unipd.it
Claudio CobelliFull Professor of Bioengineering, University of PadovaDirección de correo verificada de dei.unipd.it
Andreas CaduffHUJIDirección de correo verificada de vituria.com
Martin MüllerDirección de correo verificada de insel.ch
Donath MarcUniversity Hospital BaselDirección de correo verificada de usb.ch
Pavel ZakharovIROC Science AGDirección de correo verificada de irocscience.com
Seán McLooneQueen's University BelfastDirección de correo verificada de qub.ac.uk
Gian Antonio SustoAssociate Professor @ University of Padova, Co-founder @ StatwolfDirección de correo verificada de dei.unipd.it
Roland E. SuriETH Zurich, SwitzerlandDirección de correo verificada de library.ethz.ch
Francesca FinotelloUniversity of Innsbruck, AustriaDirección de correo verificada de uibk.ac.at
Fabio ScarpaAssistant Professor - Department of Information Engineering, University of PaduaDirección de correo verificada de unipd.it
Frank DondelingerDirector of Data Science, NBR Oncology, NovartisDirección de correo verificada de novartis.com
Michael LindemannBaden-Wuerttemberg Cooperative State UniversityDirección de correo verificada de dhbw-loerrach.de
Yuri FeldmanThe Hebrew University of JerusalemDirección de correo verificada de mail.huji.ac.il
Maria RubegaNon-tenured Assistant Professor, Department of Neurosciences, University of PadovaDirección de correo verificada de unipd.it
Giada AcciaroliPh.D. student, University of PadovaDirección de correo verificada de phd.unipd.it
Christopher ChathamGlobal Head of Innovation, Product Development Neuroscience: Innovation, Genentech / RocheDirección de correo verificada de gene.com
Joerg HippF. Hoffmann-La Roche Ltd.Dirección de correo verificada de roche.com
Giacomo Pietro ComiProfessor of NeurologyDirección de correo verificada de unimi.it

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Mattia Zanon

Principal (data) scientist

Dirección de correo verificada de roche.com - Página principal

Digital Health & Personalised Healthcare Diabetes Digital Biomarkers Machine learning & Digital Signal Processing Wearables


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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	49	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	41	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	38	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	25	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, 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	14	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	11	2019
Sparse logistic regression: Comparison of regularization and bayesian implementations M Zanon, G Zambonin, GA Susto, S McLoone Algorithms 13 (6), 137, 2020	4	2020
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
Prediction of Long-term Adherence to Smartphone Sensor-based Tests (Floodlight)(P5-6.016) M McGinley, G Pointeau, M Zanon, L Leocani, G Comi, F Lipsmeier, ... Neurology 102 (17_supplement_1), 3430, 2024		2024

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