Resolvability of MUSIC Algorithm in Solving Multiple Dipole Biomagnetic Localization from Spatio-Temporal MCG Data

The MUSIC (MUltiple SIgnal Classification) algorithm is a recently proposed method in solving multiple dipole localization problem from spatio-temporal MCG (Magnetocardiography) data. In this paper the characteristics of the MUSIC algorithm were investigated. General formulas are presented for computing a lower bound on localization error for spherical current source dipole models with arbitrary sensor array geometry. Graphical error contours are presented for 127 sensors covering the upper hemisphere when 2 dipoles are assumed.