Particle filters: A new method for reconstructing multiple current dipoles from MEG data

International Congress Series

Volumn 1300, Issue , 2007, Pages 173-176

  Sorrentino, A ^a   Parkkonen, L ^b   Piana, M ^c  

^a UNIVERSITY OF GENOA   (Italy)

^b AALTO UNIVERSITY   (Finland)

^c UNIVERSITY OF VERONA   (Italy)

Author keywords

Bayesian tracking; Inverse problem; Magnetoencephalography; Model selection; Particle filter

Indexed keywords

EID: 34250025460     PISSN: 05315131     EISSN: None     Source Type: Book Series    
DOI: 10.1016/j.ics.2007.02.026     Document Type: Article

References (3)

1. Arulampalam M.S., et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Trans. Signal Process. 50 (2002) 174-188
2. Somersalo E., Voutilainen A., and Kaipio J.P. Non-stationary magnetoencephalography by Bayesian filtering of dipole models. Inverse Problems 19 (2003) 1047-1063
3. Sarvas J. Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem. Phys. Med. Biol. 32 (1987) 11-22