利用小波系数检测室性早搏心律失常

M. Adnane, A. Belouchrani
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引用次数: 9

摘要

室性早搏(PVC)的检测是危重医学的一项重要任务。然而,使这项任务自动化并不是那么简单。在本文中,我们描述了一种检测PVC心律失常的方法。该方法基于小波细节系数来区分正常心跳和异常心跳。采用MIT-BIH心律失常数据库(MITDB)的选定记录对所提出的方法进行了测试。结果令人满意,表明将小波细节系数应用于QRS复合体检测室性心律失常是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Premature ventricular contraction arrhythmia detection using wavelet coefficients
Premature ventricular contraction (PVC) detection is an important task in critical care medicine. However, making this task automatic is not that simple. In this paper, we are describing a method for PVC arrhythmia detection. This method is based on the use of wavelet detail coefficients to discriminate between normal beats and abnormal beats (PVCs). The proposed method was tested against selected records of the MIT-BIH Arrhythmia Database (MITDB). Results are very satisfactory and show that it is possible to detect PVC arrhythmia using wavelet detail coefficients applied to QRS complexes.
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