Search Results - "Zanon, Mattia"

Retrospective Continuous-Time Blood Glucose Estimation in Free Living Conditions with a Non-Invasive Multisensor Device by Acciaroli, Giada, Zanon, Mattia, Facchinetti, Andrea, Caduff, Andreas, Sparacino, Giovanni

“…Even if still at an early stage of development, non-invasive continuous glucose monitoring (NI-CGM) sensors represent a promising technology for optimizing…”
Get full text

Sparse Logistic Regression: Comparison of Regularization and Bayesian Implementations by Zanon, Mattia, Zambonin, Giuliano, Susto, Gian Antonio, McLoone, Seán

“…In knowledge-based systems, besides obtaining good output prediction accuracy, it is crucial to understand the subset of input variables that have most…”
Get full text

An observational study to assess validity and reliability of smartphone sensor-based gait and balance assessments in multiple sclerosis: Floodlight GaitLab protocol by Rinderknecht, Mike D, Zanon, Mattia, Boonstra, Tjitske A, Angelini, Lorenza, Stanev, Dimitar, Chan, Gabriela González, Bunn, Lisa, Dondelinger, Frank, Hosking, Richard, Freeman, Jenny, Hobart, Jeremy, Marsden, Jonathan, Craveiro, Licinio

“…Background Gait and balance impairments are often present in people with multiple sclerosis (PwMS) and have a significant impact on quality of life and…”
Get full text

Italian contributions to the development of continuous glucose monitoring sensors for diabetes management by Sparacino, Giovanni, Zanon, Mattia, Facchinetti, Andrea, Zecchin, Chiara, Maran, Alberto, Cobelli, Claudio

“…Monitoring glucose concentration in the blood is essential in the therapy of diabetes, a pathology which affects about 350 million people around the World…”
Get full text

Non-invasive continuous glucose monitoring with multi-sensor systems: a Monte Carlo-based methodology for assessing calibration robustness by Zanon, Mattia, Sparacino, Giovanni, Facchinetti, Andrea, Talary, Mark S, Mueller, Martin, Caduff, Andreas, Cobelli, Claudio

“…In diabetes research, non-invasive continuous glucose monitoring (NI-CGM) devices represent a new and appealing frontier. In the last years, some multi-sensor…”
Get full text

The Effect of a Global, Subject, and Device-Specific Model on a Noninvasive Glucose Monitoring Multisensor System by Caduff, Andreas, Zanon, Mattia, Mueller, Martin, Zakharov, Pavel, Feldman, Yuri, De Feo, Oscar, Donath, Marc, Stahel, Werner A., Talary, Mark S.

“…Background: We study here the influence of different patients and the influence of different devices with the same patients on the signals and modeling of data…”
Get full text

Regularised Model Identification Improves Accuracy of Multisensor Systems for Noninvasive Continuous Glucose Monitoring in Diabetes Management by Sparacino, Giovanni, Zanon, Mattia, Facchinetti, Andrea, Talary, Mark S., Caduff, Andreas, Cobelli, Claudio

“…Continuous glucose monitoring (CGM) by suitable portable sensors plays a central role in the treatment of diabetes, a disease currently affecting more than 350…”
Get full text

Physiological sensor data cleaning with autoencoders by Kriara, Lito, Zanon, Mattia, Lipsmeier, Florian, Lindemann, Michael

“…Physiological sensor data (e.g. photoplethysmograph) is important for remotely monitoring patients' vital signals, but is often affected by measurement noise…”
Get more information

Prediction of Long-term Adherence to Smartphone Sensor-based Tests (Floodlight) (P5-6.016) by McGinley, Marisa, Pointeau, Gregoire, Zanon, Mattia, Leocani, Letizia, Comi, Giancarlo, Lipsmeier, Florian, Craveiro, Licinio, Butzkueven, Helmut

“…Abstract only…”
Get full text

Glucose variability indices in type 1 diabetes: parsimonious set of indices revealed by sparse principal component analysis by Fabris, Chiara, Facchinetti, Andrea, Sparacino, Giovanni, Zanon, Mattia, Guerra, Stefania, Maran, Alberto, Cobelli, Claudio

“…Continuous glucose monitoring (CGM) time-series are often analyzed, retrospectively, to investigate glucose variability (GV), a risk factor for the development…”
Get more information

First Experiences With a Wearable Multisensor Device in a Noninvasive Continuous Glucose Monitoring Study at Home, Part II: The Investigators’ View by Zanon, Mattia, Mueller, Martin, Zakharov, Pavel, Talary, Mark S., Donath, Marc, Stahel, Werner A., Caduff, Andreas

“…Background: Extensive past work showed that noninvasive continuous glucose monitoring with a wearable multisensor device worn on the upper arm provides useful…”
Get full text

Hypoglycemia-induced EEG complexity changes in Type 1 diabetes assessed by fractal analysis algorithm by Scarpa, Fabio, Rubega, Maria, Zanon, Mattia, Finotello, Francesca, Sejling, Anne-Sophie, Sparacino, Giovanni

“…•Hypoglycemia induces significant changes in EEG properties.•EEG features based on Higuchi’s fractal dimension are sensitive to hypoglycemia.•The proposed…”
Get full text

First Experiences With a Wearable Multisensor in an Outpatient Glucose Monitoring Study, Part I: The Users’ View by Caduff, Andreas, Zanon, Mattia, Zakharov, Pavel, Mueller, Martin, Talary, Mark, Krebs, Achim, Stahel, Werner A., Donath, Marc

“…Background: Extensive past work showed that noninvasive continuous glucose monitoring with a wearable Multisensor device worn on the upper arm provides useful…”
Get full text

Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system by Zanon, Mattia, Sparacino, Giovanni, Facchinetti, Andrea, Riz, Michela, Talary, Mark S., Suri, Roland E., Caduff, Andreas, Cobelli, Claudio

“…Non-invasive continuous glucose monitoring (NI-CGM) sensors are still at an early stage of development, but, in the near future, they could become particularly…”
Get full text

EEG signal features extraction based on fractal dimension by Finotello, Francesca, Scarpa, Fabio, Zanon, Mattia

“…The spread of electroencephalography (EEG) in countless applications has fostered the development of new techniques for extracting synthetic and informative…”
Get full text

Annotation and synchronization of smartphone inertial measurement unit and motion capture data collected in a laboratory setting to study gait and balance by Stanev, Dimitar, Klimas, Rafał, Płonka, Marta, Napiórkowski, Natan, Angelini, Lorenza, Boonstra, Tjitske A, Chan, Gabriela Gonzalez, Marsden, Jonathan, Rinderknecht, Mike D, Zanon, Mattia

“…Validating smartphone sensor-based tests to study gait and balance against reference measurement systems in a laboratory setting poses several technical…”
Get full text

Simulating the impact of noise on gait features extracted from smartphone sensor-data for the remote assessment of movement disorders by Bogaarts, Guy, Zanon, Mattia, Dondelinger, Frank, Derungs, Adrian, Lipsmeier, Florian, Gossens, Christian, Lindemann, Michael

“…Signs and symptoms of movement disorders can be remotely measured at home through sensor-based assessment of gait. However, sensor noise may impact the…”
Get full text

A quality metric for heart rate variability from photoplethysmogram sensor data by Zanon, Mattia, Kriara, Lito, Lipsmeier, Florian, Nobbs, David, Chatham, Christopher, Hipp, Joerg, Lindemann, Michael

“…Heart rate variability (HRV) measures the regularity between consecutive heartbeats driven by the balance between the sympathetic and parasympathetic branches…”
Get full text

An adaptive machine learning decision system for flexible predictive maintenance by Susto, Gian Antonio, Wan, Jian, Pampuri, Simone, Zanon, Mattia, Johnston, Adrian B., O'Hara, Paul G., McLoone, Sean

“…Process monitoring and Predictive Maintenance (PdM) are gaining increasing attention in most manufacturing environments as a means of reducing maintenance…”
Get full text

Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring by Zanon, M., Riz, M., Sparacino, G., Facchinetti, A., Suri, R. E., Talary, M. S., Cobelli, C.

“…New scenarios in diabetes treatment have been opened in the last ten years by continuous glucose monitoring (CGM) sensors. In particular, Non-Invasive CGM…”
Get full text