Marcinkevics, R, O'Neill, J, Law, H et al. (6 more authors) (2018) Multichannel electrocardiogram diagnostics for the diagnosis of arrhythmogenic right ventricular dysplasia. EP Europace, 20 (FI1). f13-f19. ISSN 1099-5129
Abstract
Aims: The identification of arrhythmogenic right ventricular dysplasia (ARVD) from 12-channel standard electrocardiogram (ECG) is challenging. High density ECG data may identify lead locations and criteria with a higher sensitivity.
Methods and results: Eighty-channel ECG recording from patients diagnosed with ARVD and controls were quantified by magnitude and integral measures of QRS and T waves and by a measure (the average silhouette width) of differences in the shapes of the normalized ECG cycles. The channels with the best separability between ARVD patients and controls were near the right ventricular wall, at the third intercostal space. These channels showed pronounced differences in P waves compared to controls as well as the expected differences in QRS and T waves.
Conclusion: Multichannel recordings, as in body surface mapping, add little to the reliability of diagnosing ARVD from ECGs. However, repositioning ECG electrodes to a high anterior position can improve the identification of ECG variations in ARVD. Additionally, increased P wave amplitude appears to be associated with ARVD.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017, The Author. Published on behalf of the European Society of Cardiology. All rights reserved. This is an author produced version of a paper published in EP Europace. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Arrhythmogenic right ventricular cardiomyopathy; Arrhythmogenic right ventricular dysplasia; Multichannel ECG recording; P wave amplitude |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biomedical Sciences (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 23 May 2017 14:56 |
Last Modified: | 29 Aug 2018 00:38 |
Status: | Published |
Publisher: | Oxford University Press |
Identification Number: | 10.1093/europace/eux124 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:116775 |