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首页> 外文期刊>Journal of the Magnetics Society of Japan >Environmental Magnetic Noise Rejection Using Independent Component Analysis for MCGn Automated Component Selection and Number of Contraction Dimension Decisions
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Environmental Magnetic Noise Rejection Using Independent Component Analysis for MCGn Automated Component Selection and Number of Contraction Dimension Decisions

机译：对MCGN自动分量分析的环境磁噪声抑制自动分量分析和收缩尺寸决策的数量

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摘要

We have studied a method of environmental magnetic noise rejection using independent component analysis (ICA) for magnetocardiograms (MCGs). ICA is a useful method of separating the signal from noise. However ICA has various problems in determining numerous parameters and distinguishing signal or noise components from separated components. In many cases, these have been determined from the experiential results, and it has been difficult to determin the optimum parameters. We proposed a method of the distinguishing signal or noise components using the autocorrelation function of electrocardiograms (ECGs) and MCGs. Contraction dimension decisions were used to determin the maximum value of the autocorrelation function. The testing to verify its accuracy was carried out for MCGs with various signal-to-noise ratios. We found that this method was effective for the noise rejection.
机译：我们研究了一种使用独立分量分析（ICA）进行磁进仪（MCG）的环境磁噪声抑制方法。 ICA是将信号与噪声分离的有用方法。 然而，ICA在确定许多参数和区分信号或来自分离的组件的区分信号或噪声分量时具有各种问题。 在许多情况下，这些已经从经验主义结果确定，并且难以确定最佳参数。 我们提出了一种使用心电图（ECG）和MCG的自相关函数的区分信号或噪声分量的方法。 收缩尺寸决定用于确定自相关函数的最大值。 测试为验证其精度的测试是针对MCG的具有各种信噪比的MCG进行。 我们发现该方法对噪声抑制有效。

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