DYNAMIC SPECTRAL-ANALYSIS OF EVENT-RELATED EEG DATA

被引：63

作者：

FLORIAN, G ^{[1
]}

PFURTSCHELLER, G ^{[1
]}

机构：

[1] GRAZ UNIV TECHNOL,INST BIOMED ENGN,DEPT MED INFORMAT,A-8010 GRAZ,AUSTRIA

来源：

ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY | 1995年 / 95卷 / 05期

关键词：

EVENT-RELATED EEG; DYNAMIC SPECTRAL ANALYSIS; AUTOREGRESSIVE MODEL; SPECTRAL DECOMPOSITION; LOCAL STATIONARITY; EVENT-RELATED DESYNCHRONIZATION;

D O I：

10.1016/0013-4694(95)00198-8

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

A method for analysing the time course of power spectra of event-related EEG data is presented. A sequence of autoregressive models is fitted to segments of the EEG within which the data exhibit local stationarity. For parameter estimation a method involving ensemble averages is introduced. Besides investigating the evolution of power spectra, time courses of peak frequency, bandwidth and power of alpha (mu) and beta rhythms are traced. The method is applied to EEG recorded over the primary motor area during self-paced finger movements.

引用

页码：393 / 396

页数：4

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