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Body Surface Potential Mapping for Detection of Myocardial Infarct Sites

Lookup NU author(s): Susan King, Abigail Haigh, Dr Annette Klinge, Dr Ding Chang Zheng, Sam Stevens, Dr John Allen, Adedayo Okelarin, Dr Philip Langley, Professor Alan Murray

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Abstract

Using the additional information from multi-lead body surface potential recordings we aimed to study ECG features to predict the extent of infarcted myocardium as part of the 2007 PhysioNet/Computers in Cardiology Challenge. We studied potential and QT maps through key stages of the ventricular cycle assessing the 2 training and 2 test cases. Clinical assessment of the ECGs was provided by three cardiologists. QRS axis was abnormal in training case 1. ST was elevated in training case 1 and test case 2. T wave axis was abnormal in training case 2 and test case 1. T wave axis was different to QRS axis in training case 1. Cardiologists agreed that training cases I and 2 were anterior and inferior infarctions respectively, while they considered both test cases to be normal variations. The maps, however, showed significant abnormalities in the test cases.


Publication metadata

Author(s): Zarychta P, Sinith FE, King ST, Haigh AJ, Klinge A, Zheng D, Stevens S, Allen J, Okelarin A, Langley P, Murray A

Editor(s): Murray, A

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 34th Annual Conference on Computers in Cardiology

Year of Conference: 2007

Pages: 181-184

Date deposited: 09/07/2010

ISSN: 0276-6547

Publisher: IEEE

URL: http://dx.doi.org/10.1109/CIC.2007.4745451

DOI: 10.1109/CIC.2007.4745451

Library holdings: Search Newcastle University Library for this item

ISBN: 9781424425334


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