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A Combination Method of Improved Impulse Rejection Filter and Template Matching for Identification of Anomalous Intervals in RR Sequences

Lookup NU author(s): Dr Chengyu Liu, Dr Ding Chang Zheng


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Anomalous intervals in RR sequences of electrocardiogram (ECG) introduce practical problems in heart rate variability (HRV) analysis, trauma evaluation, and other clinical applications where ECG artifact rejection is important. Impulse rejection filters (IRFs) have been used to identify anomalous intervals. However, traditional IRFs do not consider the influence of non-stationary time series of RR intervals, and cannot effectively identify anomalous intervals caused by ECG morphology changes. This study therefore improves the traditional IRF method, develops an ECG morphology feature-based template matching method, and develops a combination method of improved IRF and template matching for better identification of anomalous intervals in RR sequences. Four methods (IRF, improved IRF, template matching, and the combination method of improved IRF and template matching) are applied to the MIT-BIH arrhythmia database. 43 RR sequences that contain 30368 normal intervals and 2760 anomalous intervals are analyzed. Sensitivity and specificity analyses are performed to quantify identification performance. The sensitivity and specificity values are 86.1% and 87.0% for IRF, 92.3% and 94.9% for improved IRF, 90.7% and 95.5% for template matching, and 98.5% and 99.2% for the combination method, respectively. The results verify that the combination method is suitable for the identification of anomalous RR intervals.

Publication metadata

Author(s): Liu CY, Li LP, Zhao LN, Zheng DC, Li P, Liu CC

Publication type: Article

Publication status: Published

Journal: Journal of Medical and Biological Engineering

Year: 2012

Volume: 32

Issue: 4

Pages: 245-249

Print publication date: 01/01/2012

ISSN (print): 1609-0985

ISSN (electronic):

Publisher: Zhonghua Minguo Shengwu Yixue Gongcheng Xuehui


DOI: 10.5405/jmbe.1006


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Funder referenceFunder name
61201049National Natural Science Foundation of China
20110491593China Postdoctoral Science Foundation