A noise elimination method for ECG signals
To solve the problem of lacking adaptability and difficulties in selecting wavelet base when using the Wavelet-ICA to cancellation the noise in ECG, a new method called E-ICA is proposed which is combined with the Empirical Mode Decomposition and Independent Component Analysis. The advantages of EMD and ICA are exploited, and the two layers reconstruction, that is inverse ICA and inverse EMD was introduced to get the clean ECG. Using the MIT-BIH database to simulate, the results show that E-ICA has a better capacity to remove the noise in ECG, the correlation coefficient of clean ECG and original ECG is 0.96.
ECG Empirical Mode Decomposition Independent Component Analysis two layer reconstruction
Xing Hongyan Hou Jinyong
School of Electronics and Information Engineering Nanjing University of Information Science and Technology Nanjing China
国际会议
北京
英文
1-3
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）