Abstract An adaptive filter based on Data-Reusing Least-Mean-Square algorithm has been proposed and applied in magnetocardiography (MCG) to suppress ambient noise. Numerical simulation studies indicate that the adaptive filter is a powerful noise suppresser for correlated interferences, especially for those with amplitude changing and time delay. Also the filter has a wide frequency bandwidth. With this filter, the signal-to-noise ratio of an MCG is improved to the intrinsic noise level. The periodic average method for further improvement of the noise level in MCG is also discussed.
Received: 16 April 2004
Revised: 08 June 2004
Accepted manuscript online:
Fund: Project supported by Chinese Academy of Sciences (Grant No KJCX2-W4) and the Ministry of Science and Technology of China (Grant No 2002AA306412 and NKBRSF-G1999064609).
Cite this article:
Kong Xiang-Yan (孔祥燕), Wang Hui-Wu (王会武), Tian Ye (田野), Huang Xu-Guang (黄旭光), Zhang Li-Hua (张利华), Ren Yu-Feng (任育峰), Chen Geng-Hua (陈赓华), Yang Qian-Sheng (杨乾声) A normalized data-reusing least-mean-square algorithm of noise cancellation for magnetocardiography 2004 Chinese Physics 13 1820
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