Toggle Main Menu Toggle Search

Open Access padlockePrints

Surface atrial frequency analysis in patients with atrial fibrillation: A tool for evaluating the effects of intervention

Lookup NU author(s): Dr Daniel Raine, Dr Philip Langley, Emeritus Professor Alan MurrayORCiD, Dr John Bourke


Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Atrial Fibrillation Frequency Analysis. Introduction: The aims of this study were to evaluate (1) principal component analysis as a technique for extracting the atrial signal waveform from the standard 12-lead ECG and (2) its ability to distinguish changes in atrial fibrillation (AF) frequency parameters over time and in response to pharmacologic manipulation using drugs with different effects on atrial electrophysiology. Methods and Results: Twenty patients with persistent AF were studied. Continuous 12-lead Holter ECGs were recorded for 60 minutes, first, in the drug-free state. Mean and variability of atrial waveform frequency were measured using an automated computer technique. This extracted the atrial signal by principal component analysis and identified the main frequency component using Fourier analysis. Patients were then allotted sequentially to receive 1 of 4 drugs intravenously (amiodarone, flecainide, sotalol, or metoprolol), and changes induced in mean and variability of atrial waveform frequency measured. Mean and variability of atrial waveform frequency did not differ within patients between the two 30-minute sections of the drug-free state. As hypothesized, significant changes in mean and variability of atrial waveform frequency were detected after manipulation with amiodarone (mean: 5.77 vs 4.86 Hz; variability: 0.55 vs 0.31 Hz), flecainide (mean: 5.33 vs 4.72 Hz; variability: 0.71 vs 0.31 Hz), and sotalol (mean: 5.94 vs 4.90 Hz; variability: 0.73 vs 0.40 Hz) but not with metoprolol (mean: 5.41 vs 5.17 Hz; variability: 0.81 vs 0.82 Hz). Conclusion: A technique for continuously analyzing atrial frequency characteristics of AF from the surface ECG has been developed and validated.

Publication metadata

Author(s): Raine D, Langley P, Murray A, Dunuwille A, Bourke JP

Publication type: Article

Publication status: Published

Journal: Journal of Cardiovascular Electrophysiology

Year: 2004

Volume: 15

Issue: 9

Pages: 1021-1026

ISSN (print): 1045-3873

ISSN (electronic): 1540-8167

Publisher: Wiley-Blackwell


DOI: 10.1046/j.1540-8167.2004.04032.x


Altmetrics provided by Altmetric