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. Author manuscript; available in PMC: 2015 May 30.
Published in final edited form as: J Neurosci Methods. 2014 Apr 24;229:84–96. doi: 10.1016/j.jneumeth.2014.04.020

Figure 2.

Figure 2

Illustration of the EEG positioning computational process. a) The algorithm starts with a 3D surface mesh of the head and fiducial positions identified by the user. b) The plane that intersects the mesh at those positions is found. c) The intersection points between the plane and the mesh are calculated. d) The subset of points that delimit the arc are identified. e) The positions at the specified percentages (5% for the case of the 10-5 positioning system) are calculated. f) The points that delimit new arcs from previously calculated points are identified and the process repeats for the new arcs. g) All the arcs necessary to calculate all 10-5 positions are found. h) With this method, all three sets of positions can be calculated, where blue dots show the 10-5, red circles show the 10-10 system, and yellow stars show the 10–20 system.