Sequential monte carlo techniques for EEG dipole placing and tracking
In this summary a method based on sequential monte carlo (SMC) techniques for EEG dipole source localization and tracking, in which a real head model is taken into account, is presented. The localization problem is formulated in the state space and the SMC method, which is a recursive non-Gaussian B...
Main Authors: | , , |
---|---|
格式: | Conference item |
出版: |
2008
|
总结: | In this summary a method based on sequential monte carlo (SMC) techniques for EEG dipole source localization and tracking, in which a real head model is taken into account, is presented. The localization problem is formulated in the state space and the SMC method, which is a recursive non-Gaussian Baysian solution, is employed. The method was applied to simulated and real data to show its potential in dipole source placing and tracking. © 2008 IEEE. |
---|