Visualization of the current-density distribution for MCG with WPW syndrome patients using independent component analysis

The purpose of this study is to evaluate the accessory pathway in the Wolff-Parkinson-White (WPW) syndrome. We measured magnetocardiograms (MCGs) for normal subjects and patients with the WPW syndrome using SQUID magnetometer. It is generally difficult to estimate the accessory pathway by visualization of the current-density distribution (VCDD) because the VCDD has a wide range. Independent component analysis (ICA) is a useful method for separating independent signals from overlapping signals. The source estimation of the accessory pathway was done by the VCDD using ICA. The effect of the accessory pathway was extracted by ICA, and the activity of the accessory pathway was accurately estimated. ICA was able to extract the effect of the accessory pathway. It is confirmed that ICA is a useful method to estimate the VCDD of MCG with WPW syndrome patients.