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在SQUID心磁测量中基于奇异值分解和自适应滤波的噪声消除法

物理学报, 2006, 55(5): 2651-2656.
DOI: 10.7498/aps.55.2651
CSTR: 32037.14.aps.55.2651

Singular value decomposition and adaptive noise reduction for SQUID-based magnetocardiograms

Acta Phys. Sin., 2006, 55(5): 2651-2656.
DOI: 10.7498/aps.55.2651
CSTR: 32037.14.aps.55.2651
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  • 摘要

    采用矩阵奇异值分解(singular value decomposition, SVD)的方法，对高温射频超导量子干涉仪(HTc rf-SQUID)采集到的单通道心磁信号进行处理.证明了对于近似周期性的心磁信号，在无参考噪声的情况下矩阵奇异值分解的方法与自适应窄带陷波相结合有较好的消除广谱噪声的效果.

     

    Abstract

    This paper shows that the environmental noise in the HTc rf-SQUID-based quasi-periodic magnetocardiograms (MCGs) can be reduced by singular value decomposition (SVD) and adaptive filtering without the reference channel input. Numerical simulation studies indicate that the method is an effective noise suppresser for one channel MCGs.

     

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