Title :
Tracking of nonstationary EEG with the polynomial root perturbation
Author :
Patomaki, L. ; Kaipio, J.P. ; Karjalainen, P.A. ; Juntunen, M.
Author_Institution :
Dept. of Appl. Phys., Kuopio Univ., Finland
fDate :
31 Oct-3 Nov 1996
Abstract :
A method for estimation of the change point in event related desynchronization tests is presented. The method is based on tracking of a single system pole of the time-varying ARMA model. The pole is approximated using perturbation theory
Keywords :
electroencephalography; medical signal processing; perturbation theory; polynomials; automatic EEG analysis; change point estimation method; electrodiagnostics; event related desynchronization tests; nonstationary EEG tracking; polynomial root perturbation; single system pole; time-varying ARMA model; Brain modeling; Eigenvalues and eigenfunctions; Electroencephalography; Eyes; Inference algorithms; Least squares approximation; Least squares methods; Polynomials; Resonance light scattering; Signal analysis;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.652650
