改进的低失真动态心电图快速滤波算法

2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI:10.1109/ICACI.2012.6463361

Shouwei Gao, G. Wang, Hairun Wang, Longlong Zhao, Yue Zhao

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引用次数: 0

摘要

动态心电图在临床医学中具有重要的应用价值。提出了一种动态心电信号预处理中的快速滤波算法。首先，综合比较不同的QRS波群检测算法，采用动态阈值检测方法，满足快速检测的要求;然后选择QRS波组作为开关，对信号的不同部分采用不同的平滑滤波算法。仿真结果表明，该方法在QRS波群检测和识别中是可行的，滤波后失真程度降低。

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Improved fast filtering algorithm with low distortion for dynamic electrocardiogram

Dynamic electrocardiogram is of great application value in clinical medicine. This paper proposes a fast filtering algorithm in preprocess of dynamic cardio-electric signal. First, it synthetically compares different QRS wave group detection algorithms, and adapts dynamic threshold detection method in order to meet fast testing requirement. Then it chooses QRS wave group as a switch, using different smoothing filtering algorithms in different parts of the signal. The simulation shows its feasibility in QRS wave group detection and recognition, and the degree of distortion is lowered after filtering.

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来源期刊

2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)

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