Name
Title | ||
|---|---|---|
Assessing common classification methods for the identification of abnormal repolarization using indicators of T-wave morphology and QT interval. |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.compbiomed.2012.01.001 | Comp. in Bio. and Med. |
Keywords | DocType | Volume |
t-wave morphology,ecg marker,lqt2 carrier,qt interval,common classification method,classification rule,nonlinear boundary,healthy volunteer,abnormal repolarization,linear boundary,different classification method | Journal | 42 |
Issue | ISSN | Citations |
4 | 1879-0534 | 1 |
PageRank | References | Authors |
0.36 | 3 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saeed Shakibfar | 1 | 1 | 0.36 |
| Claus Graff | 2 | 4 | 3.02 |
| Lars H. Ehlers | 3 | 3 | 1.15 |
| E Toft | 4 | 18 | 5.38 |
| Jørgen K Kanters | 5 | 44 | 5.19 |
| J J Struijk | 6 | 15 | 8.93 |