EMD-Based Adaptive Wavelet Threshold for Pulse Wave Denoising

摘要：

　　It is inevitable that noises will be introduced during the acquisition of pulse wave signal,which can result in morphology changes of the original pulse wave,and affect the hemodynamic analysis and diagnosis based on pulse wave signals.In order to remove these noises,an adaptive de-noising method based on Empirical Mode Decomposition (EMD) and wavelet threshold is proposed in this paper.Compared with the wavelet threshold method for denoising pulse wave,the proposed approach is more effective,especially at low signal-to-noise ratio.

关键词： Pulse wave de-noising EMD adaptive filter wavelet threshold

作者: Lisheng Xu Yanhua Shen Yue Zhong Yan Kang Max Q.-H.Meng

作者单位: Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang City, Ch Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang City, Ch Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China

会议类型: 国际会议

会议名称: World Congress on Medical Physics and Biomedical Engineering (2012年医学物理及生物医学工程国际会议(IFMBE))

会议地点: 北京

会议语种:英文

页码: 367-370

在线出版日期: 2012-05-26（万方平台首次上网日期，不代表论文的发表时间）