title: Tracking single dynamic MEG dipole sources using the projected Extended Kalman Filter.
abstract: This paper presents two new algorithms based on the Extended Kalman Filter (EKF) for tracking the parameters of single dynamic magnetoencephalography (MEG) dipole sources. We assume a dynamic MEG dipole source with possibly both time-varying location and dipole orientation. The standard EKF-based tracking algorithm performs well under the assumption that the dipole source components vary in time as a Gauss-Markov process, provided that the background noise is temporally stationary. We propose a Projected-EKF algorithm that is adapted to a more forgiving condition where the background noise is temporally nonstationary, as well as a Projected-GLS-EKF algorithm that works even more universally, when the dipole components vary arbitrarily from one sample to the next.
authors.affiliation: Department of Electrical Engineering and Computer Science, University of California, Irvine, CA 92697, USA. yucheny@uci.edu
authors.forename: Yuchen
authors.initials: Y
authors.lastname: Yao
authors.forename: A Lee
authors.initials: AL
authors.lastname: Swindlehurst
mesh_terms: D000465:Algorithms; D001921:Brain / Q000502:physiology*; D015225:Magnetoencephalography / Q000379:methods*; D008962:Models, Theoretical