文章基本信息

标题：Detection of QRS Complexes in 12-lead ECG using Adaptive Quantized Threshold
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作者：V.S. Chouhan, S.S. Mehta
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2008
卷号：8
期号：1
页码：155-163
出版社：International Journal of Computer Science and Network Security
摘要：The QRS complex is the most prominent wave component within the electrocardiogram. It reflects the electrical activity of heart during the ventricular contraction and the time of its occurrence. Its morphology provides information about the current state of the heart. The identification of QRS-complexes forms the basis for almost all automated ECG analysis algorithms. The presented algorithm employs a modified definition of slope, of ECG signal, as the feature for detection of QRS. A sequence of transformations of the filtered and baseline drift corrected ECG signal is used for extraction of a new modified slope-feature. Two feature-components are combined to derive the final QRS-feature signal. Multiple quantized amplitude thresholds are employed for distinguishing QRS-complexes from non-QRS regions of the ECG waveform. An adequate amplitude threshold is automatically selected by the presented algorithm and is utilized for delineating the QRS-complexes. A QRS detection rate of 98.56% with false positive and false negative percentage of 0.82% and 1.44% has been reported.
关键词：ECG, QRS detection, quantized threshold, feature signal.