摘要
本文介绍一种基于小波变换的心律失常判别算法。该算法利用连续小波变换及其在不同尺度上的变化规律对心电信号进行分析 ,可以对常见的六种心律失常进行自动判别。通过采用MIT心电数据库的数据进行测试 ,QRS波的正确检出率在 99%以上 ,而室性期前收缩、房性期前收缩的正确检出率在 90 %以上。
A wavelet based algorithm for arrhythmia detection is described.Based on analysis of Wavelet Transform of ECG signal and the law of its change across different scales,this algorithm can automatically detect 6 kinds of arrhythmia.Based on test results using data of MIT/BIH Arrhythmia Database,the veracity of QRS detection is 99%.The veracity of detection of APC and PVC is also above 90%.
出处
《北京生物医学工程》
2003年第1期23-26,共4页
Beijing Biomedical Engineering
