Year: 2024
Type: article
Abstract: Cardiovascular diseases are the leading cause of death in the world, and among them Atrial Fibrillation is the most common cardiac arrhythmia affecting up to 2% of the world population.During the early stage of Atrial Fibrillation, the events appear and disappear randomly which makes the diagnosis challenging.Many approaches are based on the R-R variability to perform the mostion of the signal as Atrial Fibrillation, but it is well known the R-R variability is a common feature in most of the arrhythmias and it can lead to a miss-classifications. Instead, Atrial activity (P wave) contains the most relevant information about the atrial conduction, and therefore approaches based on extracting features from P wave are more reliable in the diagnosis of atrial arrhythmias.In this work, a robust methodology for the detection of the P wave is presented.The approach is based on exploiting spatial and temporal information contained in 12-lead ECG when the atrial and ventricular activity is correlated.The result shows a positive predictive value of 100% in the 70% of the cases and a minimum of 90% for a few cases in normal sinus rhythm signals.
Author: Jader Giraldo-Guzma
Institution: Washington University in St. Louis
Language: English
Topic: ECG Monitoring and Analysis
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4409526772