Pietro Bonizzi

Orcid: 0000-0001-8804-235X

According to our database1, Pietro Bonizzi authored at least 50 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Standardized 2D atrial mapping and its clinical applications.
Comput. Biol. Medicine, January, 2024

Novel Tensor-based Singular Spectrum Decomposition.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
High-density and high coverage composite mapping of repetitive atrial activation patterns.
Comput. Biol. Medicine, June, 2023

Influence of the Tikhonov Regularization Parameter on the Accuracy of the Inverse Problem in Electrocardiography.
Sensors, February, 2023

Continuous monitoring of acute myocardial infarction with a 3-Lead ECG system.
Biomed. Signal Process. Control., 2023

A Novel Mapping Strategy of Repetitive Patterns in Consecutive Recordings to Localize Atrial Fibrillation Sources: an In-Silico Study.
Proceedings of the Computing in Cardiology, 2023

2022
Computer Simulations of Composite Maps for Detection of Atrial Fibrillation Mechanisms.
Proceedings of the Computing in Cardiology, 2022

Incidence of Distinct Repetitive Atrial Activation Patterns as a Metric for Atrial Fibrillation Complexity.
Proceedings of the Computing in Cardiology, 2022

Fibrosis Reduces the Coincidence of Repetitive Activation Patterns between the Coronary Sinus and Atrial Regions in Simulated Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2022

Analysis of Atrial Fibrillation Dynamics in Body Surface Potential Maps and Electrocardiographic Imaging.
Proceedings of the Computing in Cardiology, 2022

Tracking of Atrial Fibrillation Drivers Based on Propagation Patterns: An In-Silico Study.
Proceedings of the Computing in Cardiology, 2022

Is the Dominant Frequency Accurate Enough for Atrial Fibrillation Signals?
Proceedings of the Computing in Cardiology, 2022

2021
State Space Embedding of Atrial Electrograms to Detect Repetitive Conduction Patterns During Atrial Fibrillation.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

ECGI with a Deep Neural Network and 2D Normalized Body Surface Potential Maps.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

High Coverage and High-Resolution Mapping of Repetitive Patterns During Atrial Fibrillation.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Multi-Label Classification on 12, 6, 4, 3 and 2 Lead Electrocardiography Signals Using Convolutional Recurrent Neural Networks.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Body-Surface Atrial Signals Analysis Based on Spatial Frequency Distribution: Comparison Between Different Signal Transformations.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Spatial Relationship Between Atrial Fibrillation Drivers and the Presence of Repetitive Conduction Patterns Using Recurrence Analysis on In-Silico Models.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Body-Surface Atrial Vector Similarity as a New Way to Investigate Atrial Fibrillation Propagation Dynamics.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
A novel framework for noninvasive analysis of short-term atrial activity dynamics during persistent atrial fibrillation.
Medical Biol. Eng. Comput., 2020

Noninvasive Assessment of Spatio-Temporal Recurrence in Atrial Fibrillation.
Proceedings of the 28th European Signal Processing Conference, 2020

Use of Normalized Correlation Function to Discriminate Outcome of Persistent Patients Undergoing Electrical Cardioversion.
Proceedings of the Computing in Cardiology, 2020

Relation of Surface T-wave to Vulnerability to Ventricular Fibrillation in Explanted Structurally Normal Hearts.
Proceedings of the Computing in Cardiology, 2020

Feasibility of ECG Reconstruction From Minimal Lead Sets Using Convolutional Neural Networks.
Proceedings of the Computing in Cardiology, 2020

CT-Scan Free Neural Network-Based Reconstruction of Heart Surface Potentials From ECG Recordings.
Proceedings of the Computing in Cardiology, 2020

2019
Detection of Spatio-Temporal Recurrent Patterns in Dynamical Systems.
Frontiers Appl. Math. Stat., 2019

Neural Network-Based Matrix Completion for Minimal Configuration of Body Surface Potential Mapping.
Proceedings of the 46th Computing in Cardiology, 2019

Acute MI Detection Derived From ECG Parameters Distribution.
Proceedings of the 46th Computing in Cardiology, 2019

2018
Wavelet-promoted sparsity for non-invasive reconstruction of electrical activity of the heart.
Medical Biol. Eng. Comput., 2018

Myocardial Ischemia Diagnosis Using a Reduced Lead System.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Performance Analysis of T-Wave-Offset Detection Algorithms on Patients With Cardiac Diseases.
Proceedings of the Computing in Cardiology, 2018

Twelve Dimensional Vectorcardiography - Is More Better?
Proceedings of the Computing in Cardiology, 2018

2017
Noninvasive Characterization of Short- and Long-Term Recurrence of Atrial Signals During Persistent Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2017

Detection of Atrial Fibrillation Episodes from Short Single Lead Recordings by Means of Ensemble Learning.
Proceedings of the Computing in Cardiology, 2017

2016
Noninvasive Recurrence Quantification Analysis Predicts Atrial Fibrillation Recurrence in Persistent Patients Undergoing Electrical Cardioversion.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Spatiotemporal Activation Time Estimation Improves Noninvasive Localization of Cardiac Electrical Activity.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015
Recurrence quantification analysis applied to spatiotemporal pattern analysis in high-density mapping of human atrial fibrillation.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Performance of Dower's inverse transform and Frank lead system for Identification of Myocardial Infarction.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Electrogram Coupling as a Measure of Local Conduction during Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2015

In-vivo Evaluation of Reduced-Lead-Systems in Noninvasive Reconstruction and Localization of Cardiac Electrical Activity.
Proceedings of the Computing in Cardiology, 2015

Sleep Apnea Detection Directly from Unprocessed ECG through Singular Spectrum Decomposition.
Proceedings of the Computing in Cardiology, 2015

2014
Singular Spectrum Decomposition: a New Method for Time Series Decomposition.
Adv. Data Sci. Adapt. Anal., 2014

Principal Component Analysis of Body Surface Potential Mapping in Atrial Fibrillation Patients Suggests Additional ECG Lead Locations.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

A Novel P-wave Duration Estimation Method to Assess the Impact of the Hybrid Procedure for Atrial Fibrillation Ablation.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

2013
Wavelet-sparsity based regularization over time in the inverse problem of electrocardiography.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Inverse Reconstruction of Epicardial Potentials Improves by Vectorcardiography and Realistic Potentials.
Proceedings of the Computing in Cardiology, 2013

2012
Singular spectrum analysis improves analysis of local field potentials from macaque V1 in active fixation task.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Topographic imaging of the atrial electrical activity during atrial fibrillation for the analysis of uniform distributions of the surface electrical potentials.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Noninvasive Assessment of the Complexity and Stationarity of the Atrial Wavefront Patterns During Atrial Fibrillation.
IEEE Trans. Biomed. Eng., 2010

2008
Atrial signal extraction in atrial fibrillation ECGs exploiting spatial constraints.
Proceedings of the 2008 16th European Signal Processing Conference, 2008


  Loading...