Robust estimation of event-related potentials via particle filter
We constructed a model describing event-related potential (ERP) by trend model. A 400-particle filter produced the best mean square error in the ERP estimation. The filter reduced an amount of average by 42.8% compared with simple averaging. The filter could estimate P300 robustly by application to EEG in P300 speller. Real-time processing is realized in any computer with an appropriate particle number.
robust estimation event-related potential particle filter p300