基于小波变换的QRS波群检测

QRS wave detection based on wavelet transform

提出了一种基于小波多分辨分析的算法,对心电信号进行特征提取和识别。通过小波变换对常规心电图信号进行分解去噪和特征提取,并利用动态自适应阈值和删除多检点,补偿漏检点对QRS波检测进行优化。实验结果表明该方法在QRS波形不失真的情况下,提高了一部分MIT-BIH数据库信号中QRS波识别的准确率,并且对于较低准确率的心电信号的原因进行了分析。

Propose a method based on wavelet multiresolution analysis algorithm for ECG feature extraction and recognition, through the wavelet transform of conventional ECG signal decomposition denoising and feature extraction, and the use of dynamic adaptive threshold and the deletion of multiple point, compensation detection point to QRS wave detection was optimized. The experimental results show that the method in the QRS waveform distortion in the case raiss a portion of the MIT- BIH database in QRS wave signal recognition accuracy and the low accuracy of the ECG signals are analyzed.