Recursive Mean Square Estimators for Single-Trial Event Related Potentials
نویسندگان
چکیده
Methods for estimating dynamical changes in singletrial Event Related Potentials (ERPs) measurements are presented. The ERPs are modeled with a parametric and a Markov state-space model. Kalman filter and smoother algorithms are used for recursive estimation of the states. The methods are demonstrated with simulations and real measurements of the P300 responses.
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تاریخ انتشار 2005