Barros A K, Vigário R, Jousmäki V, Ohnishi N
RIKEN BMC, Aichi, Japan.
IEEE Trans Biomed Eng. 2000 May;47(5):583-8. doi: 10.1109/10.841329.
Independent component analysis (ICA) is a powerful tool for separating signals from their mixtures. In this field, many algorithms were proposed, but they poorly use a priori information in order to find the desired signal. Here, we propose a fixed point algorithm which uses a priori information to find the signal of interest out of a number of sensors. We particularly applied the algorithm to cancel cardiac artifacts from a magnetoencephalogram.
