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Tracking Single Dynamic MEG Dipole Sources Using the Projected Extended Kalman Filter
Content Provider | CiteSeerX |
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Author | Yao, Yuchen Swindlehurst, A. Lee |
Abstract | Abstract—This paper presents two new algorithms based on the Extended Kalman Filter (EKF) for tracking the pa-rameters 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. I. |
File Format | |
Access Restriction | Open |
Content Type | Text |