Environmental Magnetic Noise Rejection Using Independent Component Analysis for MCGn Automated Component Selection and Number of Contraction Dimension Decisions

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 hasvarious problems in determining numerous parameters and distinguishing signal or noise components from separatedcomponents. In many cases, these have been determined from the experiential results, and it has been difficult todetermin the optimum parameters. We proposed a method of the distinguishing signal or noise components using theautocorrelation function of electrocardiograms (ECGs) and MCGs. Contraction dimension decisions were used todetermin the maximum value of the autocorrelation function. The testing to verify its accuracy was carried out forMCGs with various signal-to-noise ratios. We found that this method was effective for the noise rejection.