Fractal dimension methods to determine optimum EEG electrode placement for concentration estimation
Document Type
Article
Publication Date
1-1-2019
Abstract
In this study, fractal dimension approaches were used for analyzing EEG to determine the optimum electrode placement to distinguish between concentration and relaxation states. The EEG of participants was recorded from multiple electrode placements while under relaxed state and while in a state of heightened mental activity. Higuchi and Katz algorithms were applied to extract the fractal dimension FD indices of windowed segments of the EEG. These were then plotted in a graph, and a simple threshold was applied to best divide the indices of relaxation and concentration. The Higuchi algorithm was found to be better than Katz at distinguishing between relaxation and concentration, and P3 was found to be the best position to measure concentration, with P8 being a close contender. © 2017, The Natural Computing Applications Forum.
Keywords
Attention estimation, Electroencephalogram, Fractal dimensions, Medical signals
Divisions
fsktm
Funders
University of Malaya High Impact Research (HIR) Grant UM.C/625/1/HIR/MOHE/FCSIT/ 10
Publication Title
Neural Computing and Applications
Volume
31
Issue
3
Publisher
Springer Verlag (Germany)