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 1 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.
|Title of host publication||Computers in Cardiology|
|Pages||181 - 184|
|Number of pages||4|
|Publication status||Published - 30 Sep 2007|
Bibliographical noteSince volume 33 (2006), CinC has been an open-access publication, in which copyright in each article is held by its authors, who grant permission to copy and redistribute their work with attribution, under the terms of the Creative Commons Attribution License.
- Surface waves
- Cardiac disease
- Spatial resolution
Zarychta, P., Smith, F. E., King, S. T., Haigh, A. J., Klinge, A., Zheng, D., ... Murray, A. (2007). Body surface potential mapping for detection of myocardial infarct sites. In Computers in Cardiology (Vol. 34, pp. 181 - 184). IEEE. https://doi.org/10.1109/CIC.2007.4745451