Discrete Wavelet Soft Threshold Denoise Processing for ECG Signal

摘要：

Electrocardiogram (ECG) is an essential method for the clinical diagnosis of cardiovascular diseases. The weak biomedical signal buried in all kinds of noise will result in the useful information lost or false information on the wavelet decomposition. According to the characteristics of ECG signal and wavelet transform, n discrete wavelet soft threshold denoise processing method is used to remove the interference of electrical power frequency, electromyography and baseline drift, and a favorable effect is obtained through the simulation.

关键词： ECG signal discrete wavelet soft threshold denoise processing

作者: Qi Haibing Liu Xiongfei Pan Chao

作者单位: School of Electric and Electronic Information Engineering, Huangshi Institute of Technology, Huangsh School of Physics Science and Technology, Central South University of Technology, Changsha 410083, C

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 1296-1299

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）