Title :
Tracking of nonstationary EEG with Kalman smoother approach: an application to event-related synchronization of alpha waves
Author :
Tarvainen, M.P. ; Hiltunen, J.K. ; Ranta-aho, P.O. ; Karjalainen, P.A.
Author_Institution :
Dept. of Appl. Phys., Kuopio Univ., Finland
Abstract :
An adaptive spectrum estimation method for nonstationary EEG by means of Kalman filtering along with fixed-interval smoothing is presented. The advantages of the Kalman smoother approach are the optimality properties and the avoidance of the tracking lag present in all adaptive algorithms. The presented Kalman smoother approach was applied to tracking of event-related synchronization of EEG and high resolution estimates for EEG in the alpha frequency band were obtained.
Keywords :
Kalman filters; adaptive signal processing; electroencephalography; medical signal processing; signal resolution; smoothing methods; spectral analysis; synchronisation; Kalman filtering; Kalman smoother approach; adaptive spectrum estimation method; alpha frequency band; alpha wave event-related synchronization; event-related synchronization; fixed-interval smoothing; high resolution estimates; nonstationary EEG tracking; occipital brain region; optimality properties; tracking lag; Adaptive algorithm; Electroencephalography; Equations; Filtering; Frequency estimation; Frequency synchronization; Kalman filters; Smoothing methods; Spectral analysis; White noise;
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1134440
