alexa Automated ECG segmentation with dynamic time warping. In Engineering in Medicine and Biology Society
Biomedical Sciences

Biomedical Sciences

Journal of Biomedical Systems & Emerging Technologies

Author(s): Vullings H J L M, Verhaegen M H G, Verbruggen H B

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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.

This article was published in Conference of the IEEE and referenced in Journal of Biomedical Systems & Emerging Technologies

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