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ECG signal adaptive filtering and QRS complex detecting method

机译:心电信号自适应滤波及QRS复数检测方法

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Waveforms and parameters in each segment of ECG signals reflect the activity state of the heart. The purpose of analyzing ECG signal is parameter extraction and waveform recognition, but power interference and base line drift seriously affect the accuracy of detecting ECG signal QRS waveform. On the basis of building an adaptive noise cancellation system for suppressing power interference and base line drift from ECG signal, this paper puts forward R wave detecting algorithm based on coif5 wavelet, adopts difference smoothing method to realize Q wave and S wave detecting and positioning. The experiment results show that the adaptive filter and QRS complex detecting algorithms presented in this paper suppress power interference and base line drift effectively, reach the aim of ECG signal QRS waveform detection and accurate positioning and have an important practical value in medical clinical diagnosis.
机译:心电图信号各段中的波形和参数反映了心脏的活动状态。分析心电信号的目的是进行参数提取和波形识别,但是功率干扰和基线漂移会严重影响心电信号QRS波形的检测精度。在构建抑制心电信号功率干扰和基线漂移的自适应噪声消除系统的基础上,提出了基于coif5小波的R波检测算法,采用差分平滑法实现了Q波和S波的检测定位。实验结果表明,本文提出的自适应滤波器和QRS复杂检测算法能够有效抑制功率干扰和基线漂移,达到心电信号QRS波形检测和准确定位的目的,在医学临床诊断中具有重要的实用价值。

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