Title :
Hilbert-Huang Transform for ECG De-Noising
Author :
Tang Jing-tian ; Zou Qing ; Tang Yan ; Liu Bin ; Zhang Xiao-kai
Author_Institution :
Inst. of Biomed. Eng., Central South Univ., Changsha
Abstract :
The theories of empirical mode decomposition (EMD) and instantaneous frequency solution which are two parts of Hilbert-Huang Transformation (HHT) are discussed in the paper. We are focus on using the EMD to electrocardiogram (ECG) which can be decomposed into a limited number of intrinsic mode functions. Different thresholds are used to treat intrinsic mode function to achieve de-noising and then compared with the effect of wavelet transform de-noising. Hilbert-Huang Transform is demonstrated to be effective in removing the general noise of ECG.
Keywords :
electrocardiography; medical signal processing; noise; signal denoising; wavelet transforms; ECG denoising; Hilbert-Huang transformation; electrocardiogram; empirical mode decomposition; intrinsic mode functions; noise; wavelet transform de-noising; Electrocardiography; Electromyography; Filtering; Fourier transforms; Frequency; Noise reduction; Signal analysis; Signal processing; Wavelet transforms; Working environment noise;
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
Conference_Location :
Wuhan
Print_ISBN :
1-4244-1120-3
DOI :
10.1109/ICBBE.2007.173