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Matteo Gadaleta

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ISRN Cardiology|September 8, 2012
A method for ventricular late potentials detection using time-frequency representation and wavelet denoisingMatteo Gadaleta, Agostino Giorgio
IEEE Journal of Biomedical and Health Informatics|July 12, 2018
Prediction of Adverse Glycemic Events From Continuous Glucose Monitoring SignalMatteo Gadaleta, Andrea Facchinetti, Enrico Grisan, et al.
Computer|November 21, 2019
On the Effectiveness of Deep Representation Learning: the Atrial Fibrillation CaseMatteo Gadaleta, Michele Rossi, Eric J Topol, 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 7, 2016
Toward lightweight biometric signal processing for wearable devicesRoberto Francescon, Mohsen Hooshmand, Matteo Gadaleta, et al.
IEEE Journal of Biomedical and Health Informatics|February 22, 2021
A Comprehensive Explanation Framework for Biomedical Time Series ClassificationPraharsh Ivaturi, Matteo Gadaleta, Amitabh C Pandey, et al.
JMIR Mental Health|May 22, 2025
Using the PowerMom Digital Health Platform to Support Prenatal Mental Health and Maternal Health Outcomes: Observational Cohort StudyGiulia Milan, Victoria Lee, Matteo Gadaleta, 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 18, 2020
Deep Learning Techniques for Improving Digital Gait SegmentationMatteo Gadaleta, Giulia Cisotto, Michele Rossi, et al.
NPJ Digital Medicine|August 1, 2024
AI-enhanced reconstruction of the 12-lead electrocardiogram via 3-leads with accurate clinical assessmentFederico Mason, Amitabh C Pandey, Matteo Gadaleta, et al.
Medrxiv : the Preprint Server for Health Sciences|February 14, 2024
AI-Enhanced Reconstruction of the 12-Lead Electrocardiogram via 3-Leads with Accurate Clinical AssessmentFederico Mason, Amitabh C Pandey, Matteo Gadaleta, et al.
NPJ Digital Medicine|December 12, 2023
Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmiasMatteo Gadaleta, Patrick Harrington, Eric Barnhill, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
ISRN Cardiology|September 8, 2012
A method for ventricular late potentials detection using time-frequency representation and wavelet denoisingMatteo Gadaleta, Agostino Giorgio
IEEE Journal of Biomedical and Health Informatics|July 12, 2018
Prediction of Adverse Glycemic Events From Continuous Glucose Monitoring SignalMatteo Gadaleta, Andrea Facchinetti, Enrico Grisan, et al.
Computer|November 21, 2019
On the Effectiveness of Deep Representation Learning: the Atrial Fibrillation CaseMatteo Gadaleta, Michele Rossi, Eric J Topol, 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 7, 2016
Toward lightweight biometric signal processing for wearable devicesRoberto Francescon, Mohsen Hooshmand, Matteo Gadaleta, et al.
IEEE Journal of Biomedical and Health Informatics|February 22, 2021
A Comprehensive Explanation Framework for Biomedical Time Series ClassificationPraharsh Ivaturi, Matteo Gadaleta, Amitabh C Pandey, et al.
JMIR Mental Health|May 22, 2025
Using the PowerMom Digital Health Platform to Support Prenatal Mental Health and Maternal Health Outcomes: Observational Cohort StudyGiulia Milan, Victoria Lee, Matteo Gadaleta, 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 18, 2020
Deep Learning Techniques for Improving Digital Gait SegmentationMatteo Gadaleta, Giulia Cisotto, Michele Rossi, et al.
NPJ Digital Medicine|August 1, 2024
AI-enhanced reconstruction of the 12-lead electrocardiogram via 3-leads with accurate clinical assessmentFederico Mason, Amitabh C Pandey, Matteo Gadaleta, et al.
Medrxiv : the Preprint Server for Health Sciences|February 14, 2024
AI-Enhanced Reconstruction of the 12-Lead Electrocardiogram via 3-Leads with Accurate Clinical AssessmentFederico Mason, Amitabh C Pandey, Matteo Gadaleta, et al.
NPJ Digital Medicine|December 12, 2023
Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmiasMatteo Gadaleta, Patrick Harrington, Eric Barnhill, et al.
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