移动心电监护系统QRS波的实时检测算法研究

A Real-time QRS Complex Detection Algorithm for Mobile ECG Telemonitoring System

针对移动心电监护系统对ECG信号实时分析的需要,提出了利用动态心电图的二阶差分极小值和一阶差分过零点来实现QRS波精确定位的实时检测算法。该算法能克服或抑止各类噪声对ECG信号的影响,并设计了具有自学习和自适应功能的信号检测门限。经过对正常人和临床病人的动态ECG信号进行测试验证,QRS波检测准确率可达99.8%以上,试验结果表明该算法适合于移动心电监护系统QRS波的实时检测和分析。

A precise real-time QRS complex detection algorithm based on local minima of second derivatives and cross-zero points of first derivatives of ambulatory electrocardiograph(ECG) signals to meet the need of mobile ECG telemonitoring system is developed.The novel algorithm filters power-line interference and most of muscle noise and is insensitive to baseline draft and noise caused by mobile communication.The QRS complex recognition thresholds,which can revise themselves according to the detected values and vary with the analyzing signals,are designed.For the normal and clinical patient,this algorithm correctly detects up 99.8 percent of the QRS complex of ambulatory ECG signals.