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

Volume

1

fYear

2002

fDate

2002

Firstpage

169

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;

fLanguage

English

Publisher

ieee

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

ISSN

1094-687X

Print_ISBN

0-7803-7612-9

Type

conf

DOI

10.1109/IEMBS.2002.1134440

Filename

1134440