Mattia Zanon

发表

Root Cause Analysis by a Combined Sparse Classification and Monte Carlo Approach

Mattia Zanon, Seán McLoone, Gian Antonio Susto, 2014 .

First Experiences With a Wearable Multisensor in an Outpatient Glucose Monitoring Study, Part I: The Users’ View

Mattia Zanon, Pavel Zakharov, Andreas Caduff, 2018, Journal of diabetes science and technology.

Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system

C. Cobelli, A. Facchinetti, A. Caduff, 2012, Medical & Biological Engineering & Computing.

Non-Invasive Continuous Glucose Monitoring: Identification of Models for Multi-Sensor Systems

Mattia Zanon, Mattia Zanon, 2013 .

Italian Contributions to the Development of Continuous Glucose Monitoring Sensors for Diabetes Management

Giovanni Sparacino, Claudio Cobelli, Mattia Zanon, 2012, Sensors.

Glucose variability indices in type 1 diabetes: parsimonious set of indices revealed by sparse principal component analysis.

Giovanni Sparacino, Claudio Cobelli, Mattia Zanon, 2014, Diabetes technology & therapeutics.

Regularised Model Identification Improves Accuracy of Multisensor Systems for Noninvasive Continuous Glucose Monitoring in Diabetes Management

Giovanni Sparacino, Claudio Cobelli, Mattia Zanon, 2013, J. Appl. Math..

Non-Invasive Continuous Glucose Monitoring with Multi-Sensor Systems: A Monte Carlo-Based Methodology for Assessing Calibration Robustness

Giovanni Sparacino, Claudio Cobelli, Mattia Zanon, 2013, Sensors.

The Effect of a Global, Subject, and Device-Specific Model on a Noninvasive Glucose Monitoring Multisensor System

Mattia Zanon, Andreas Caduff, Yuri Feldman, 2015, Journal of diabetes science and technology.

First Experiences With a Wearable Multisensor Device in a Noninvasive Continuous Glucose Monitoring Study at Home, Part II: The Investigators’ View

Mattia Zanon, Pavel Zakharov, Andreas Caduff, 2018, Journal of diabetes science and technology.

Hypoglycemia-induced EEG complexity changes in Type 1 diabetes assessed by fractal analysis algorithm

Giovanni Sparacino, Mattia Zanon, Fabio Scarpa, 2017, Biomed. Signal Process. Control..

EEG signal features extraction based on fractal dimension

Mattia Zanon, Fabio Scarpa, Francesca Finotello, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Simulating the impact of noise on gait features extracted from smartphone sensor-data for the remote assessment of movement disorders

F. Lipsmeier, G. Bogaarts, Mattia Zanon, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Retrospective Continuous-Time Blood Glucose Estimation in Free Living Conditions with a Non-Invasive Multisensor Device

Giovanni Sparacino, Mattia Zanon, Andrea Facchinetti, 2019, Sensors.

Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring

Giovanni Sparacino, Claudio Cobelli, Mattia Zanon, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system

Giovanni Sparacino, Claudio Cobelli, Mattia Zanon, 2012, Medical & Biological Engineering & Computing.

Sparse Logistic Regression: Comparison of Regularization and Bayesian Implementations

Mattia Zanon, Gian Antonio Susto, Giuliano Zambonin, 2020, Algorithms.

A quality metric for heart rate variability from photoplethysmogram sensor data

Michael Lindemann, Lito Kriara, Florian Lipsmeier, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).