Automated ECG segmentation with dynamic time warping

To detect an abnormal conduction of the heart, cardiologists annotate certain points in the electrocardiogram (ECG) manually. As this is a very strenuous task, several algorithms have been developed to segment the ECG automatically. In this paper, we describe several such methods, and we further present a new single-lead method based on dynamic time warping (DTW). The results are tested on the QT database and compared to Laguna et al.´s (1997) two-lead method. DTW produces a smaller mean error, but has a higher standard deviation than Laguna´s method