Beat-to-beat P-wave Variability Increases from Paroxysmal to Persistent Atrial Fibrillation
Year: 2020
Type: conference-paper
Study design: Observational Study
Abstract: Atrial fibrillation (AF) is known to worsen over time.Beat-to-beat P-wave variability is used to evaluate the risk of developing AF, but it has not been used to monitor arrhythmia progression in a comprehensive model.The aim of this study is to create a method to measure beat-tobeat P-wave variability to evaluate AF types.ECG recordings of 5 minutes were measured on 159 AF patients.The first three principal components (PCs) of the ECG signal were added to the analysis.The temporal beat-to-beat P-wave variability was assessed through the normalized Euclidean Distance and the Similarity Index.The spatial P-wave similarity was measured as the percentage of variance explained by the first 2 PCs.A binomial logistic regression model was built for each lead and parameter, with AF type as dependent variable.To assess variability due exclusively to the P-waves, we considered, as confounding factors, other sources of ECG-variability, such as the noise level, the variability of the RR series and of the heart axis.Both temporal (e.g.0.94±0.12for paroxysmal AF and 0.85±0.28for persistent AF in lead I, p=0.001) and spatial P-wave similarities (95.35±3.29%for paroxysmal AF vs 94.44±4.14%for persistent AF, p=0.001) were significantly higher in paroxysmal than in persistent AF, suggesting them as promising tools to evaluate AF types.
Source: Computing in cardiology
Language: English
Topic: ECG Monitoring and Analysis
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W3119972467