Title :
Tracking of nonstationary EEG with the roots of ARMA models
Author :
Patomäki, L. ; Kaipio, J.P. ; Karjalainen, P.A.
Author_Institution :
Dept. of Appl. Phys., Kuopio Univ., Finland
Abstract :
The tracking of nonstationary EEG with time-varying autoregressive moving average (ARMA) models is discussed. A method for detecting spindles in rat EEG is presented. The method is based on tracking of a single system pole of the ARMA model
Keywords :
autoregressive moving average processes; electroencephalography; medical signal processing; physiological models; electrodiagnostics; nonstationary EEG tracking; rat EEG spindles detection method; single system pole tracking; Autoregressive processes; Brain modeling; Electroencephalography; Epilepsy; Least squares approximation; Parameter estimation; Physics; Polynomials; Predictive models; Resonance light scattering;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.579249
