Title :
Estimation of the dynamics of medium rate EEG transitions
Author :
Kiltunen, J.K. ; Karjalainen, P.A. ; Kaipio, J.P.
Author_Institution :
Dept. of Appl. Phys., Kuopio Univ., Finland
fDate :
30 Oct-2 Nov 1997
Abstract :
A method for the estimation of medium rate transitions of nonstationary EEG is presented. The method is applicable to such EEG dynamics that are between (a) fast transitions for which segmentation procedures are used and (b) slow transitions for which adaptive filters work properly. The estimation of the transition dynamics is based on a novel time-varying autoregressive model. The performance of the method is evaluated with realistic simulations of known transition dynamics
Keywords :
Newton method; autoregressive processes; brain models; delay estimation; electroencephalography; least squares approximations; medical signal processing; neurophysiology; prediction theory; time-varying systems; Gaussian-shaped basis; Jacobian; Levenberg-Marquardt method; adaptive filters; basis constrained least squares; delay estimation; dynamics estimation; event-related desynchronisation; fast transitions; iterative solution; medium rate transitions; nonstationary EEG; prediction coefficients; realistic simulations; segmentation procedures; slow transitions; time-varying autoregressive model; transition dynamics; Brain modeling; Delay; Electroencephalography; Hospitals; Least squares methods; Neurophysiology; Physics; Predictive models; Rhythm; Steady-state;
Conference_Titel :
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-4262-3
DOI :
10.1109/IEMBS.1997.756585
