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 pre...

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Bibliographic Details
Main Authors: Vullings, H.J.L.M., Verhaegen, M.H.G., Verbruggen, H.B.
Format: Conference Proceeding
Language:English
Subjects:
Band pass filters
Cardiology
Clinical diagnosis
Dynamic programming
Electrocardiography
Heart
Hidden Markov models
Speech recognition
Testing
Online Access:Request full text
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Description
Summary: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.
ISSN:1094-687X
1558-4615
DOI:10.1109/IEMBS.1998.745863