The research of pulse wave signal denosing based on EMD and ICA
Pulse wave is easily contaminated by noise when being sampled and processed. In order to extract and analyze the useful information involved, the paper presents a novel denoising algorithm based on empirical mode decomposition (EMD) and independent component analysis (ICA).First, the signal is decomposed by EMD ,then a series of intrinsic mode functions (IMFs) and the remainder can be obtained. Second, ICA will be performed to separate independent components from IMFs. At last, these independent components will be used to reconstruct the pulse wave signal. By using the method, we are able to separate noise and estimate desired source signals from pulse wave signal. Experimental results substantiate the strong potential of the proposed method for pulse wave signal noise separation.
Empirical mode decomposition independent component analysis pulse wave signal
Yingying Zheng Yongliang Zhang Yanli Liu
Key Laboratory of Biomimetic Sensing and Advanced Robot Technology, Institute of Intelligent Machine Anhui institute of Architecture & Industry, Hefei, 230601, China
国际会议
黄山
英文
482-485
2010-05-28（万方平台首次上网日期，不代表论文的发表时间）