Beat-to-beat P-wave Variability Increases From Paroxysmal to Persistent Atrial Fibrillation

Rita Laureanti, Stef Zeemering, Matthias D Zink, Valentina D Corino, Angelo Auricchio, Luca T Mainardi, Ulrich Schotten

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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-to-beat 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±0.12 for paroxysmal AF and 0.85±0.28 for 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.
Original languageEnglish
Title of host publication2020 Computing in Cardiology
PublisherIEEE Xplore
Pages1-4
Number of pages4
ISBN (Print)978-1-7281-1105-6
DOIs
Publication statusPublished - 16 Sep 2020
Event2020 Computing in Cardiology - Rimini, Italy
Duration: 13 Sep 202016 Sep 2020

Conference

Conference2020 Computing in Cardiology
Period13/09/2016/09/20

Keywords

  • Atrial fibrillation
  • Lead
  • Tools
  • Indexes
  • Monitoring
  • Noise level
  • Logistics

Cite this