Resumen

GIRALDO, EDUARDO; PELUFFO-ORDONEZ, DIEGO  y  CASTELLANOS-DOMINGUEZ, GERMÁN. WEIGHTED TIME SERIES ANALYSIS FOR ELECTROENCEPHALOGRAPHIC SOURCE LOCALIZATION. Dyna rev.fac.nac.minas [online]. 2012, vol.79, n.176, pp.64-70. ISSN 0012-7353.

This paper presents a new method to estimate neural activity from electroencephalographic signals using a weighted time series analysis. The method considers a physiologically based linear model that takes both spatial and temporal dynamics into account and a weighting stage to modify the assumptions of the model from observations. The calculated weighting matrix is included in the cost function used to solve the dynamic inverse problem, and therefore in the Kalman filter formulation. In this way, a weighted Kalman filtering approach is proposed including a preponderance matrix. The filter's performance (in terms of localization error) is analyzed for several SNRs. The optimal performance is achieved using the linear model with a weighting matrix computed by an inner product method.

Palabras clave : inverse problem; brain mapping; weighting matrix.

        · resumen en Español     · texto en Inglés     · Inglés ( pdf )