A normalized data-reusing Least-Mean-Square algorithm of noise cancellation for magnetocardiography

被引：0
|
作者：
Kong, XY [1 ]
Wang, HW [1 ]
Tian, Y [1 ]
Huang, XG [1 ]
Zhang, LH [1 ]
Ren, YF [1 ]
Chen, GH [1 ]
Yang, QS [1 ]
机构：
[1] Chinese Acad Sci, Inst Phys, Beijing 100080, Peoples R China
来源：
CHINESE PHYSICS | 2004年 / 13卷 / 11期
关键词：
magnetocardiography; noise suppression;
D O I：
暂无
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
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.
引用
收藏
页码：1820 / 1825
页数：6
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