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Comput Biol Med. 2012 Apr;42(4):485-91. doi: 10.1016/j.compbiomed.2012.01.001. Epub 2012 Feb 10.

Assessing common classification methods for the identification of abnormal repolarization using indicators of T-wave morphology and QT interval.

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  • 1Center for Sensory Motor Interaction, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.


Various parameters based on QTc and T-wave morphology have been shown to be useful discriminators for drug induced I(Kr)-blocking. Using different classification methods this study compares the potential of these two features for identifying abnormal repolarization on the ECG. A group of healthy volunteers and LQT2 carriers were used to train classification algorithms using measures of T-wave morphology and QTc. The ability to correctly classify a third group of test subjects before and after receiving d,l-sotalol was evaluated using classification rules derived from training. As a single electrocardiographic feature, T-wave morphology separates normal from abnormal repolarization better than QTc. It is further indicated that nonlinear boundaries can provide stronger classifiers than a linear boundaries. Whether this is true in general with other ECG markers and other data sets is uncertain because the approach has not been tested in this setting.

Copyright © 2012 Elsevier Ltd. All rights reserved.

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