| 摘要: |
| 对心电图数据进行预处理和特征提取.[方法]对心电(ECG)信号的检测,最关键的是对QRS波群的检出.本研究利用小波在时、频两域具有表征信号局部特性的能力,适当选择基本小波,应用Mallat算法对心电图信号进行多尺度分解从而检测出QRS波.[结果]在Mallat算法实现时,选用适当的基本小波,清晰的检测出了QRS波群.[结论]小波变换原理检测ECG信号中QRS波群具有很好的效果,而且选用不同的基本小波,可以检测出不同频率成份的波段,这样也同样达到了去除噪声的目的. |
| 关键词: ECG QRS波群 小波变换 Mallat算法 |
| DOI：10.11724/jdmu.2004.03.07 |
| 分类号:R443 |
| 基金项目: |
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| Study and application of using wavelet transform in detection of electrocardiogram signals |
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BAI Xiao-bo, ZHU Feng
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School of Electric Eng.Southwest Jiaotong University,Chengdu 610031， China
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| Abstract: |
| Objective］To dispose the ECG data and to pick-up the characters of the ECG. ［Methods］ The key to detect the ECG is to detect the QRS. The wavelet possess the expression ability of part signal characteristic in time domain and frequency domain. Selecting the basic wavelet and applying the Mallat arithmetic detect the QRS. ［Results］ QRS is detected clear by the Methods. ［Conclusion］ Using the wavelet-based to detect the ECG is a good method. Selecting different basic wavelet can detect different frequency wave band, and can wipe off the disturbance |
| Key words: : ECG QRS1 wavelet transform mallat algorithm |