A nonlinear trimmed moving averaging-based system with its application to real-time QRS beat classification

S. W. Chen*

*此作品的通信作者

研究成果: 期刊稿件文章同行評審

7 引文 斯高帕斯(Scopus)

摘要

In this paper, a real-time QRS beat classification system based on a nonlinear trimmed moving average filter is presented. This nonlinear system aims to identify abnormal beats of ventricular origin. The proposed beat classifier is designed to work in parallel with a real-time QRS detector, allowing the task of beat diagnosis to be performed immediately after a QRS complex is detected. Algorithm performance was evaluated against the ECG recordings drawn from the MIT-BIH arrhythmia database. Numerical results demonstrated that a beat classification rate of over 99.5% can be achieved by the algorithm.

原文英語
頁(從 - 到)443-449
頁數7
期刊Journal of Medical Engineering and Technology
31
發行號6
DOIs
出版狀態已出版 - 11 2007

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