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Principal component analysis of atrial fibrillation: Inclusion of posterior ECG leads does not improve correlation with left atrial activity

Lookup NU author(s): Dr Daniel Raine, Dr Philip Langley, Dr Ewen Shepherd, Dr Stephen Lord, Dr Steve Murray, Emeritus Professor Alan MurrayORCiD, Dr John Bourke



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Background: Lead V-1 is routinely analysed due to its large amplitude AF waveform. V-1 correlates strongly with right atrial activity but only moderately with left atrial activity. Posterior lead V-9 correlates strongest with left atrial activity.Aims: (1) To establish whether surface dominant AF frequency (DAF) calculated using principal component analysis (PCA) of a modified 12-lead ECG (including posterior leads) has a stronger correlation with left atrial activity compared to the standard ECG. (2) To assess the contribution of individual ECG leads to the AF principal component in both ECG configurations.Methods: Patients were assigned to modified or standard ECG groups. In the modified ECG, posterior leads V-g and V-9 replaced V-4 and V-6. AF waveform was extracted from one-minute surface ECG recordings using PCA. Surface OAF was correlated with intracardiac DAF from the high right atrium (HRA), coronary sinus (CS) and pulmonary veins (PVs).Results: 96 patients were studied. Surface DAF from the modified ECG did not have a stronger correlation with left atrial activity compared to the standard ECG. Both ECG configurations correlated strongly with HRA, CS and right PVs but only moderately with left PVs. V-1 contributed most to the AF principal component in both ECG configurations. (C) 2015 The Authors. Published by Elsevier Ltd.

Publication metadata

Author(s): Raine D, Langley P, Shepherd E, Lord S, Murray S, Murray A, Bourke JP

Publication type: Article

Publication status: Published

Journal: Medical Engineering & Physics

Year: 2015

Volume: 37

Issue: 2

Pages: 251-255

Print publication date: 01/02/2015

Online publication date: 22/01/2015

Acceptance date: 26/12/2014

Date deposited: 29/06/2015

ISSN (print): 1350-4533

ISSN (electronic): 1873-4030

Publisher: Elsevier


DOI: 10.1016/j.medengphy.2014.12.008


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Funder referenceFunder name
National Institute for Health Research Newcastle Biomedical Research Centre
Northumberland, Tyne and Wear Comprehensive Local Research Network
FS/11/47/28867British Heart Foundation