节点文献
应用小波变换模极大值检测ECG特征点
ECG characteristics detection based on wavelet transform modulus maxima
【摘要】 利用小波变换模极大值对ECG信号进行奇异性检测,提取ECG信号P波、T波和QRS波群的特征点,具有定位准确,检出率高的特点。实验中选用Mexicanhat连续小波算法,应用MATLAB6.5对MIT-BIH心电数据库的数据进行处理,证实了算法的有效性和可靠性。
【Abstract】 In this paper, an algorithm with precise location and high detection rate is introduced. The modulus maxima of wavelet transform are applied to the singularity detection for ECG signal, and thus P wave, T wave and QRS waves can be well detected. Continuous wavelet transform with Mexican hat function is adopted to compute the modulus maxima under MATLAB6.5. The algorithm proves effective and reliable through the tests for the data form MIT-BIH database.
【关键词】 小波变换;
模极大值;
奇异性检测;
心电信号(ECG);
【Key words】 wavelet transform; modulus maximum; singularity detection; ECG signal;
【Key words】 wavelet transform; modulus maximum; singularity detection; ECG signal;
- 【文献出处】 医疗卫生装备 ,Chinese Medical Equipment Journal , 编辑部邮箱 ,2004年10期
- 【分类号】R540.41
- 【被引频次】18
- 【下载频次】290