Estimation of T-Wave Morphology Using Gaussian Functions

摘要

Abnormal QT variability has been suggested to be marker of several cardiac diseases. It has been also reported that abnormalities of T-wave morphology predicts impending hypoglycemia. Changes in T-wave morphology can also distort QT interval estimation, and thus, detection of these changes is important. Method of detecting changes in T-wave morphology is presented. The method can be used as prior information of QT-time interval estimation or directly in the evaluation of T-wave morphological changes. In the method, two Gaussian functions were used to model T-wave. Parameters of these Gaussian functions give desired information of T-wave characteristics and it separates easily normal, partly inverted and inverted T-waves.