E. A. Popova
Department of the Automation of the Systems of Computer Complexes,
Faculty of Computational Mathematics and Cybernetics,
Moscow State University, Moscow, 119991 Russia
e-mail: eapopova@gmail.com
Received May 7, 2007
Abstract—In this paper, we develop a method for localization of the active domains of the brain by elec-
troencephalography signals on the basis of ensembles of random decision trees. We suggest a method
for reducing the problem of localization to the problem of classification of the quality of the dipole
sources. We present a localization algorithm, which consists in constructing an ensemble of decision
trees for the parameters of the dipole sources (which are responsible for the approximation of the poten-
tial detected at various time instants) and finding the most probable source regions on the basis of a spe-
cial voting procedure. It is demonstrated that the approach that employs the decision trees technique
allows a stable determination of the parameters of the transient function between the source and the sig-
nal detected, which is essential for the construction of the brain–computer interface. The method sug-
gested is demonstrated to converge both on the exact solutions and on signals of real experiments by the
analysis of evoked potentials.
DOI:10.3103/S0278641908030084
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