Automatic detection of end QRS notching or slurring

Clark, E. N., Katibi, I. and Macfarlane, P. W. (2014) Automatic detection of end QRS notching or slurring. Journal of Electrocardiology, 47(2), pp. 151-154. (doi: 10.1016/j.jelectrocard.2013.10.007)

Abstract

The purpose of this study was to define criteria suited to automated detection of end QRS notching and slurring and to evaluate their accuracy. One hundred resting 12 lead ECGs from young adult men, split randomly into equal training and test sets, were examined independently by two reviewers for the presence of such notching or slurring. Consensus was reached by re-examination. Logic was added to the Glasgow resting ECG program to automate the detection of the phenomenon. After training, the automated detection had a sensitivity (SE) of 92.1% and a specificity (SP) of 96.6%. For the test set, SE was 90.5%, SP 96.5%. Two populations of healthy subjects – one Caucasian, one Nigerian – were analysed using the automated method. The prevalence of notching/slurring with peak/onset amplitude respectively ≥ 0.1 mV in two contiguous inferolateral leads was 23% and 29% respectively. In conclusion, the detection of end QRS notching or slurring can be automated with a high degree of accuracy.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Macfarlane, Professor Peter and Clark, Mrs Elaine
• Authors: Clark, E. N., Katibi, I., and Macfarlane, P. W.
• College/School: College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health
• Journal Name: Journal of Electrocardiology
• Publisher: Elsevier
• ISSN: 0022-0736
• ISSN (Online): 1532-8430
• Copyright Holders: Copyright © 2013 Elsevier
• First Published: First published in Journal of Electrocardiology 47(2):151-154
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher