The Progress and Analyze of ECG Based on Wavelet Transforms
This paper is mainly about preprocessing and analyzing of ECG, all these ECG is from the MIT-BIH database which is recognized by international. And in this article, a method about the realization of wavelet transforms to filter the ECG will be introduced. By using this method, the wavelet transforms decompounds the raw ECG signal into the different frequency bands. According to ECGs different frequencies, filtering the original signal on different threshold, and then make the inverse wavelet transform of ECG, we will be able to achieve the elimination of major interference of ECG. The wavelet transform is a comprehensive approach to filtering the ECG, especially for baseline drift in low frequency, which is not easy to achieve by using other methods. In addition, wavelet transform has high adaptability. Threshold method other than traditional filter can solve the problem of overlapping of noise and signals frequency.
ECG filtering wavelet transform QRS wave
Danfei Huang Huilin Jiang Youfeng Qian
Changchun University of Science and Technology, Changchun, Jilin, China, 130022
国际会议
北京
英文
2007-08-05（万方平台首次上网日期，不代表论文的发表时间）