Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Giacomo Cappon

Showing results (1-10 of 48) with videos related to

Pageof 5
Sort By:
Journal of Diabetes Science and Technology|June 18, 2024
Digital Twins in Type 1 Diabetes: A Systematic ReviewGiacomo Cappon, Andrea Facchinetti
Chaos (Woodbury, N.Y.)|June 3, 2016
Heterogeneity and nearest-neighbor coupling can explain small-worldness and wave properties in pancreatic isletsGiacomo Cappon, Morten Gram Pedersen
Journal of Diabetes Science and Technology|January 5, 2023
AGATA: A Toolbox for Automated Glucose Data AnalysisGiacomo Cappon, Giovanni Sparacino, Andrea Facchinetti
Frontiers in Digital Health|October 14, 2024
Automated pipeline for denoising, missing data processing, and feature extraction for signals acquired via wearable devices in multiple sclerosis and amyotrophic lateral sclerosis applicationsLuca Cossu, Giacomo Cappon, Andrea Facchinetti
IEEE Transactions on Bio-Medical Engineering|November 21, 2025
Data Augmentation Via Digital Twins to Develop Personalized Deep Learning Glucose Prediction Algorithms for Type 1 Diabetes in Poor Data ContextFrancesco Prendin, Andrea Facchinetti, Giacomo Cappon
Journal of the Royal Society, Interface|September 3, 2024
Adaptive and self-learning Bayesian filtering algorithm to statistically characterize and improve signal-to-noise ratio of heart-rate data in wearable devicesLuca Cossu, Giacomo Cappon, Andrea Facchinetti
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
An Ensemble Learning Algorithm Based on Dynamic Voting for Targeting the Optimal Insulin Dosage in Type 1 Diabetes ManagementGiulia Noaro, Giacomo Cappon, Giovanni Sparacino, et al.
Studies in Health Technology and Informatics|August 23, 2024
Optimizing Remote Health Monitoring for Digital Platforms: Evaluating the Efficacy of Gamification in Enhancing Data CollectionMichele Atzeni, Luca Cossu, Martina Vettoretti, et al.
Diabetes & Metabolism Journal|August 24, 2019
Continuous Glucose Monitoring Sensors for Diabetes Management: A Review of Technologies and ApplicationsGiacomo Cappon, Martina Vettoretti, Giovanni Sparacino, et al.
Sensors (Basel, Switzerland)|July 16, 2020
Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring SensorsMartina Vettoretti, Giacomo Cappon, Andrea Facchinetti, et al.
Pageof 5

Showing results (1-10 of 48) with videos related to

Sort By:
Pageof 5
Journal of Diabetes Science and Technology|June 18, 2024
Digital Twins in Type 1 Diabetes: A Systematic ReviewGiacomo Cappon, Andrea Facchinetti
Chaos (Woodbury, N.Y.)|June 3, 2016
Heterogeneity and nearest-neighbor coupling can explain small-worldness and wave properties in pancreatic isletsGiacomo Cappon, Morten Gram Pedersen
Journal of Diabetes Science and Technology|January 5, 2023
AGATA: A Toolbox for Automated Glucose Data AnalysisGiacomo Cappon, Giovanni Sparacino, Andrea Facchinetti
Frontiers in Digital Health|October 14, 2024
Automated pipeline for denoising, missing data processing, and feature extraction for signals acquired via wearable devices in multiple sclerosis and amyotrophic lateral sclerosis applicationsLuca Cossu, Giacomo Cappon, Andrea Facchinetti
IEEE Transactions on Bio-Medical Engineering|November 21, 2025
Data Augmentation Via Digital Twins to Develop Personalized Deep Learning Glucose Prediction Algorithms for Type 1 Diabetes in Poor Data ContextFrancesco Prendin, Andrea Facchinetti, Giacomo Cappon
Journal of the Royal Society, Interface|September 3, 2024
Adaptive and self-learning Bayesian filtering algorithm to statistically characterize and improve signal-to-noise ratio of heart-rate data in wearable devicesLuca Cossu, Giacomo Cappon, Andrea Facchinetti
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
An Ensemble Learning Algorithm Based on Dynamic Voting for Targeting the Optimal Insulin Dosage in Type 1 Diabetes ManagementGiulia Noaro, Giacomo Cappon, Giovanni Sparacino, et al.
Studies in Health Technology and Informatics|August 23, 2024
Optimizing Remote Health Monitoring for Digital Platforms: Evaluating the Efficacy of Gamification in Enhancing Data CollectionMichele Atzeni, Luca Cossu, Martina Vettoretti, et al.
Diabetes & Metabolism Journal|August 24, 2019
Continuous Glucose Monitoring Sensors for Diabetes Management: A Review of Technologies and ApplicationsGiacomo Cappon, Martina Vettoretti, Giovanni Sparacino, et al.
Sensors (Basel, Switzerland)|July 16, 2020
Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring SensorsMartina Vettoretti, Giacomo Cappon, Andrea Facchinetti, et al.
Pageof 5