基于小波变换的心电信号的分析与处理

Wavelet transform based electrocardiolgy signal analyses and processing

本文分析了小波变换与窗口傅里叶变换的时频特性，以及小波变换下信号的奇异特征．研究了基于小波变换的心电信号的特征提取与心电信号的消噪处理．研究结果表明：心电信号中ＱＲＳ波的平均检出率可达９９％以上；经消噪处理后的重建心电信号的信噪比可由原来的５．１ｄＢ提高到１２．８ｄＢ．因此，小波变换技术是生物医学信号分析与处理的又一可行有效的技术方法．

This paper discusses in detail the time frequency features of the continuous wavelet transform and window Fourier transform and the singularity of the signals which are transformed by WT.Based on WT,we study the feature extraction and the noise reduction of electrocardiology(ECG)signals.The results indicate that the average detection rate of QRS complex waves of ECG signals is 5.1dB,the SNR of the reconstructed ECG signals 12.8dB.Thus,wavelet transform technology may be one of the feasible and effective methods for the analysis and the processing of various biomedical signals.