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An Efficient VEB Beats Detection Algorithm Using the QRS Width and RR Interval Pattern in the ECG Signals  

Chung, Yong-Joo (계명대학교)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.12, no.2, 2011 , pp. 96-101 More about this Journal
Abstract
In recent days, the demand for the remote ECG monitoring system has been increasing and the automation of the monitoring system is becoming quite of a concern. Automatic detection of the abnormal ECG beats must be a necessity for the successful commercialization of these real time remote ECG monitoring system. From these viewpoints, in this paper, we proposed an automatic detection algorithm for the abnormal ECG beats using QRS width and RR interval patterns. In the previous research, many efforts have been done to classify the ECG beats into detailed categories. But, these approaches have disadvantages such that they produce lots of misclassification errors and variabilities in the classification performance. Also, they require large amount of training data for the accurate classification and heavy computation during the classification process. But, we think that the detection of abnormality from the ECG beats is more important that the detailed classification for the automatic ECG monitoring system. In this paper, we tried to detect the VEB which is most frequently occurring among the abnormal ECG beats and we could achieve satisfactory detection performance when applied the proposed algorithm to the MIT/BIH database.
Keywords
ECG; Abnormal Beat Detection; Ventricular Ectopic Beats;
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Times Cited By KSCI : 1  (Citation Analysis)
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