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Elena Idi

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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|September 10, 2022
Data-Driven Supervised Compression Artifacts Detection on Continuous Glucose SensorsElena Idi, Eleonora Manzoni, Giovanni Sparacino, et al.
Journal of Diabetes Science and Technology|April 29, 2024
Supervised and Unsupervised Approaches for the Real-Time Detection of Undesired Insulin Suspension Caused by MalfunctionsElena Idi, Andrea Facchinetti, Giovanni Sparacino, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
Autoencoder-Based Detection of Insulin Pump Faults in Type 1 Diabetes TreatmentElena Idi, Francesco Prendin, Giovanni Sparacino, 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 3, 2025
Impact of Inaccurate Meal Announcements on Glycaemia Control with or without an Artificial PancreasLorenzo Cester, Elena Idi, Andrea Facchinetti, et al.
IEEE Journal of Biomedical and Health Informatics|September 20, 2024
Unsupervised Retrospective Detection of Pressure Induced Failures in Continuous Glucose Monitoring Sensors for T1D ManagementElena Idi, Eleonora Manzoni, Andrea Facchinetti, et al.
IEEE Transactions on Bio-Medical Engineering|March 3, 2025
Regularized Denoising Method for Retrospective Detection of Pressure Induced Artifacts in Continuous Glucose Monitoring Sensors DataEleonora Manzoni, Elena Idi, Nunzio Camerlingo, et al.
Scientific Reports|March 6, 2025
Automatic identification of unreported meals from continuous glucose monitoring data in individuals after bariatric surgery using a template matching algorithmElisa Pellizzari, Francesco Prendin, Giacomo Cappon, et al.
BMC Medical Informatics and Decision Making|October 30, 2024
Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility studyAlessandro Guazzo, Michele Atzeni, Elena Idi, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Data-Driven Supervised Compression Artifacts Detection on Continuous Glucose SensorsElena Idi, Eleonora Manzoni, Giovanni Sparacino, et al.
Journal of Diabetes Science and Technology|April 29, 2024
Supervised and Unsupervised Approaches for the Real-Time Detection of Undesired Insulin Suspension Caused by MalfunctionsElena Idi, Andrea Facchinetti, Giovanni Sparacino, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
Autoencoder-Based Detection of Insulin Pump Faults in Type 1 Diabetes TreatmentElena Idi, Francesco Prendin, Giovanni Sparacino, 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 3, 2025
Impact of Inaccurate Meal Announcements on Glycaemia Control with or without an Artificial PancreasLorenzo Cester, Elena Idi, Andrea Facchinetti, et al.
IEEE Journal of Biomedical and Health Informatics|September 20, 2024
Unsupervised Retrospective Detection of Pressure Induced Failures in Continuous Glucose Monitoring Sensors for T1D ManagementElena Idi, Eleonora Manzoni, Andrea Facchinetti, et al.
IEEE Transactions on Bio-Medical Engineering|March 3, 2025
Regularized Denoising Method for Retrospective Detection of Pressure Induced Artifacts in Continuous Glucose Monitoring Sensors DataEleonora Manzoni, Elena Idi, Nunzio Camerlingo, et al.
Scientific Reports|March 6, 2025
Automatic identification of unreported meals from continuous glucose monitoring data in individuals after bariatric surgery using a template matching algorithmElisa Pellizzari, Francesco Prendin, Giacomo Cappon, et al.
BMC Medical Informatics and Decision Making|October 30, 2024
Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility studyAlessandro Guazzo, Michele Atzeni, Elena Idi, et al.
Pageof 1