An algorithm for automatic assignment of artifact-related independent components in biomedical signal analysis
Matthias Böhm, K. Stadlthanner, Ana Maria Tomé, Ana Rita Teixeira, Carlos G. Puntonet, Elmar Wolfgang Lang, Fabian Joachim Theis, P. Gruber · Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. · 2006
In this work an automatic assignment tool for estimated independent components within an independent component analysis is presented. The tool is applied to the problem of removing the water resonance and related artifacts from multi-dimensional proton NMR spectra. The algorithm uses local PCA to approximate the water artifact and defines a suitable cost function which is optimized using simulated annealing. The blind extraction of artifact-related source signals is effected by a recently developed algorithm called dAMUSE.