Title :
The estimation of complexity for the electroencephalogram in humans
Author :
Darkhovsky, Boris ; Kaplan, Alexandr ; Kosinov, Maxim
Author_Institution :
Inst. for Syst. Anal. RAS, Moscow
Abstract :
A new approach to an estimation of complexity of the electroencephalogram (EEG) in humans is proposed. The basic idea of the approach consists in that complexity of continuous curve must be estimated by a relative part of information which one needs to recover the curve by given set of approximation methods with given accuracy based upon finite number of observations
Keywords :
approximation theory; electroencephalography; medical computing; EEG; Shannon entropy; approximation method; electroencephalogram; Chaos; Electroencephalography; Entropy; Fractals; H infinity control; Hafnium; Humans; Nonlinear dynamical systems; Physics; Random sequences;
Conference_Titel :
Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE
Conference_Location :
Munich
Print_ISBN :
0-7803-9797-5
Electronic_ISBN :
0-7803-9797-5
DOI :
10.1109/CACSD-CCA-ISIC.2006.4776663