Title :
Dynamic cross-spectral analysis of event-related EEG using ensemble averages
Author :
Florian, Gernot ; Pfurtscheller, Gert
Author_Institution :
Dept. of Med. Inf., Graz Univ. of Technol., Austria
Abstract :
A method of investigating the dynamic cross-spectral properties of event-related EEG is reported. A sequence of multivariate autoregressive models is fitted to segments of the EEG within which the data exhibit local stationarity. For estimation a procedure involving ensemble averages is presented. Time courses of autospectra and coherence are derived from the multivariate models. The method is applied to event-related EEG recorded from primary and supplementary motor areas during externally triggered finger movements
Keywords :
autoregressive processes; electroencephalography; medical signal processing; physiological models; spectral analysis; autospectra; dynamic cross-spectral analysis; electrodiagnostics; ensemble averages; event-related EEG; externally triggered finger movements; local stationarity; multivariate models; primary motor area; supplementary motor area; Biomedical engineering; Biomedical informatics; Brain modeling; Covariance matrix; Data analysis; Electroencephalography; Equations; Fingers; Matrices; Stochastic processes;
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.1995.579252
