基于数学形态学的心电信号R波检测算法

为了解决心电信号中R波的检测问题,研究验证一种结合自适应阈值的极大值搜索与数学形态学的R波检测算法。数学形态学算法是基于信号局部特征的,可以有效突出信号的峰谷点。考虑了心电信号特点的自适应阈值极大值搜索算法,可以敏感检测R波的准确位置。通过对MIT-BIH心率变异数据库中多组心电数据的仿真验证研究,实验结果表明,两种分析方法的结合可以有效消除心电信号的基线漂移或异常病态心率对检测的影响,能有效实现心电信号中R波的实时检测,预期本算法在心电信号的自动分析中将会扮演更为重要的角色。

Detection Algorithm of R Wave in Electrocardiogram Signal Based on Mathematical Morphology

A. novel algorithm for R wave detection, which is in combination with mathematical morphology and the maximum search strategy under adaptive threshold, is explored and verified to solve the problems existing in the detection for R wave in the electrocardiogram （ECG） signal. The algorithm of mathematical morphology is based on the local characteristic of the signal, and can clarify the signal＇s peaks and valleys effectively. The accurate positions of R wave in ECG can be detected sensitively with the maximum search algorithm under adaptive threshold. The simulated ECG signals are chosen from MIT- BIH arrhythmia database. The results show that the combination of these two methods can effectively eliminate the influence of I~CG baseline wander or serious arrhythmia on the detection of R wave, and implement the real-time detection for R wave of ECG signal. The proposed algorithm will play important role in the auto-analysis of ECG signal.