Publications by authors named "F Extramiana"
Background: Detection of atrial tachyarrhythmias (ATA) on long-term electrocardiogram (ECG) recordings is a prerequisite to reduce ATA-related adverse events. However, the burden of editing massive ECG data is not sustainable. Deep learning (DL) algorithms provide improved performances on resting ECG databases.
View Article and Find Full Text PDFManagement of conduction disease and arrhythmias in patients with cardiac amyloidosis: A position paper from the Working Group of Cardiac Pacing and Electrophysiology of the French Society of Cardiology.
Arch Cardiovasc Dis
November 2024
Article Synopsis
- Arrhythmic risk stratification in Brugada syndrome is challenging, and this study aimed to evaluate the predictive value of automatically measured ECG parameters from digitized paper ECGs.
- In a multicenter study involving 301 patients, two ECG parameters (QRS prolongation in lead V1 and S duration on DI) were found to independently predict major cardiac events.
- The study concluded that automatic ECG analysis could effectively assess risk in Brugada syndrome patients by confirming known parameters and identifying new ones.
Background And Aims: Prophylactic implantable cardioverter-defibrillators (ICDs) are not recommended until left ventricular ejection fraction (LVEF) has been reassessed 40 to 90 days after an acute myocardial infarction. In the current therapeutic era, the prognosis of sustained ventricular arrhythmias (VAs) occurring during this early post-infarction phase (i.e.
View Article and Find Full Text PDFBackground: Learning to interpret electrocardiograms (ECGs) is a crucial objective in medical education. Despite its importance, errors in ECGs interpretation are common, and the optimal teaching methods have not yet been clearly established.
Objectives: To evaluate students' confidence in ECGs analysis and their opinion on current teaching methods, and to assess the effectiveness of a new ECG educational approach.