Davide Tirabasso
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Davide Tirabasso has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Alberto Giannoni
Health Science Interdisciplinary Center, Scuola Superiore Sant’Anna, Pisa, Italy
1 shared publication - Alessandro Tognetti
Department of Information Engineering, University of Pisa, Pisa, Italy
1 shared publication - Andrea Rossi
Fondazione Toscana Gabriele Monasterio, Pisa, Italy
1 shared publication - Giacomo Mansi
Health Science Interdisciplinary Center, Scuola Superiore Sant’Anna, 56127 Pisa, Italy
1 shared publication - Maria Sole Morelli
Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy
1 shared publication - Nicola Martini
Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy
1 shared publication
Latest Publications
- Open Access
A Novel Workflow for Electrophysiology Studies in Patients with Brugada Syndrome
Brugada Syndrome (BrS) is a primary electrical epicardial disease characterized by ST-segment elevation followed by a negative T-wave in the right precordial leads on the surface electrocardiogram (ECG), also known as the ‘type 1’ ECG pattern. The risk stratification of asymptomatic individuals with spontaneous type 1 ECG pattern remains challenging. Clinical and electrocardiographic prognostic markers are known. As none of these predictors alone is highly reliable in terms of arrhythmic prognosis, several multi-factor risk scores have been proposed for this purpose. This article presents a new workflow for processing endocardial signals acquired with high-density RV electro-anatomical mapping (HDEAM) from BrS patients. The workflow, which relies solely on Matlab software, calculates various electrical parameters and creates multi-parametric maps of the right ventricle. The workflow, but it has already been employed in several research studies involving patients carried out by our group, showing its potential positive impact in clinical studies. Here, we will provide a technical description of its functionalities, along with the results obtained on a BrS patient who underwent an endocardial HDEAM.
Open AccessA Novel Workflow for Electrophysiology Studies in Patients with Brugada Syndrome
Brugada Syndrome (BrS) is a primary electrical epicardial disease characterized by ST-segment elevation followed by a negative T-wave in the right precordial leads on the surface electrocardiogram (ECG), also known as the ‘type 1’ ECG pattern. The risk stratification of asymptomatic individuals with spontaneous type 1 ECG pattern remains challenging. Clinical and electrocardiographic prognostic markers are known. As none of these predictors alone is highly reliable in terms of arrhythmic prognosis, several multi-factor risk scores have been proposed for this purpose. This article presents a new workflow for processing endocardial signals acquired with high-density RV electro-anatomical mapping (HDEAM) from BrS patients. The workflow, which relies solely on Matlab software, calculates various electrical parameters and creates multi-parametric maps of the right ventricle. The workflow, but it has already been employed in several research studies involving patients carried out by our group, showing its potential positive impact in clinical studies. Here, we will provide a technical description of its functionalities, along with the results obtained on a BrS patient who underwent an endocardial HDEAM.