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Mattia Zanon

Showing results (1-10 of 17) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
EEG signal features extraction based on fractal dimensionFrancesca Finotello, Fabio Scarpa, Mattia Zanon
Physiological Measurement|November 29, 2023
Physiological sensor data cleaning with autoencodersLito Kriara, Mattia Zanon, Florian Lipsmeier, et al.
Sensors (Basel, Switzerland)|August 28, 2019
Retrospective Continuous-Time Blood Glucose Estimation in Free Living Conditions with a Non-Invasive Multisensor DeviceGiada Acciaroli, Mattia Zanon, Andrea Facchinetti, et al.
Sensors (Basel, Switzerland)|December 4, 2012
Italian contributions to the development of continuous glucose monitoring sensors for diabetes managementGiovanni Sparacino, Mattia Zanon, Andrea Facchinetti, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Simulating the impact of noise on gait features extracted from smartphone sensor-data for the remote assessment of movement disordersGuy Bogaarts, Mattia Zanon, Frank Dondelinger, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
A quality metric for heart rate variability from photoplethysmogram sensor dataMattia Zanon, Lito Kriara, Florian Lipsmeier, et al.
Diabetes Technology & Therapeutics|June 24, 2014
Glucose variability indices in type 1 diabetes: parsimonious set of indices revealed by sparse principal component analysisChiara Fabris, Andrea Facchinetti, Giovanni Sparacino, et al.
Sensors (Basel, Switzerland)|June 6, 2013
Non-invasive continuous glucose monitoring with multi-sensor systems: a Monte Carlo-based methodology for assessing calibration robustnessMattia Zanon, Giovanni Sparacino, Andrea Facchinetti, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoringMattia Zanon, Michela Riz, Giovanni Sparacino, et al.
Journal of Diabetes Science and Technology|November 18, 2017
First Experiences With a Wearable Multisensor Device in a Noninvasive Continuous Glucose Monitoring Study at Home, Part II: The Investigators' ViewMattia Zanon, Martin Mueller, Pavel Zakharov, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

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Pageof 2
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
EEG signal features extraction based on fractal dimensionFrancesca Finotello, Fabio Scarpa, Mattia Zanon
Physiological Measurement|November 29, 2023
Physiological sensor data cleaning with autoencodersLito Kriara, Mattia Zanon, Florian Lipsmeier, et al.
Sensors (Basel, Switzerland)|August 28, 2019
Retrospective Continuous-Time Blood Glucose Estimation in Free Living Conditions with a Non-Invasive Multisensor DeviceGiada Acciaroli, Mattia Zanon, Andrea Facchinetti, et al.
Sensors (Basel, Switzerland)|December 4, 2012
Italian contributions to the development of continuous glucose monitoring sensors for diabetes managementGiovanni Sparacino, Mattia Zanon, Andrea Facchinetti, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Simulating the impact of noise on gait features extracted from smartphone sensor-data for the remote assessment of movement disordersGuy Bogaarts, Mattia Zanon, Frank Dondelinger, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
A quality metric for heart rate variability from photoplethysmogram sensor dataMattia Zanon, Lito Kriara, Florian Lipsmeier, et al.
Diabetes Technology & Therapeutics|June 24, 2014
Glucose variability indices in type 1 diabetes: parsimonious set of indices revealed by sparse principal component analysisChiara Fabris, Andrea Facchinetti, Giovanni Sparacino, et al.
Sensors (Basel, Switzerland)|June 6, 2013
Non-invasive continuous glucose monitoring with multi-sensor systems: a Monte Carlo-based methodology for assessing calibration robustnessMattia Zanon, Giovanni Sparacino, Andrea Facchinetti, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoringMattia Zanon, Michela Riz, Giovanni Sparacino, et al.
Journal of Diabetes Science and Technology|November 18, 2017
First Experiences With a Wearable Multisensor Device in a Noninvasive Continuous Glucose Monitoring Study at Home, Part II: The Investigators' ViewMattia Zanon, Martin Mueller, Pavel Zakharov, et al.
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