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Chinese Physics, 2004, Vol. 13(11): 1820-1825    DOI: 10.1088/1009-1963/13/11/009
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A normalized data-reusing least-mean-square algorithm of noise cancellation for magnetocardiography

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)
Institute of Physics, Chinese Academy of Sciences, Beijing 100080, China
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.
Keywords:  magnetocardiography      noise suppression  
Received:  16 April 2004      Revised:  08 June 2004      Accepted manuscript online: 
PACS:  87.19.Hh (Cardiac dynamics)  
  84.30.Vn (Filters)  
  84.40.Ua (Telecommunications: signal transmission and processing; communication satellites)  
  02.60.-x (Numerical approximation and analysis)  
  02.70.Rr (General statistical methods)  
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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