一种基于经验模式分解的心电QRS波检测方法

A QRS Detection Algorithm Based on the Empirical Mode Decomposition

讨论了一种信号分析法——经验模式分解法,用于检测心电信号中QRS波的可行性和有效性,并提出了相应的检测算法。实验结果表明,适当选择心电信号在经验模式该方式分解后的内在模函数,特别是其高频分量,可有效地抑制或缓解各种主要噪声干扰,使用简单算法即可分离QRS波的特征点。该方法经标准心电信号进行有效验证,获得了较高的准确率。

The possibility and efficiency of a way by the Empirical Mode Decomposition （EMD）, a recently popular signal analysis method,to check the position of QRS in an ECG is discussed in this paper. The result displays that the high frequency parts of Intrinsic Mode Functions （IMF） in the ECG are effective to separate the feature point of QRS from the ECG. That is verified by standard signals and the accurate rate is relatively high.