Premium
A numerical power spectrum for electroencephalographic processing
Author(s) -
Navascués M. A.,
Sebastián M. V.,
Ruiz C.,
Iso J. M.
Publication year - 2014
Publication title -
mathematical methods in the applied sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.719
H-Index - 65
eISSN - 1099-1476
pISSN - 0170-4214
DOI - 10.1002/mma.3343
Subject(s) - convergence (economics) , electroencephalography , spectral density , cognition , signal (programming language) , computer science , numerical analysis , sensory system , signal processing , spectral analysis , variable (mathematics) , mathematics , artificial intelligence , algorithm , cognitive psychology , neuroscience , statistics , psychology , mathematical analysis , telecommunications , radar , physics , quantum mechanics , spectroscopy , economics , programming language , economic growth
The record of the oscillations of the electric potential of the human brain provides useful information about the mind activity at rest and during the achievement of sensory and cognitive processing tasks. The use of appropriate quantitative tools assigning numerical values to the observed variable is necessary to define good descriptors of the electroencephalogram, allowing comparisons between different recordings. In this line, we propose a numerical method for the spectral and temporal reconstruction of a brain signal. The convergence of the procedure is analyzed, providing results of the concerned approximation error. In a second part of the text, we use the methodology described to the quantification of the bioelectric variations produced in the brain waves for the execution of a test of attention related to military simulation. Copyright © 2014 JohnWiley & Sons, Ltd.