On the statistical significance of event-related EEG desynchronization and synchronization in the time-frequency plane

被引：83

作者：

Durka, PJ ^{[1
]}

Zygierewicz, J ^{[1
]}

Klekowicz, H ^{[1
]}

Ginter, J ^{[1
]}

Blinowska, KJ ^{[1
]}

机构：

[1] Univ Warsaw, Inst Expt Phys, Lab Med Phys, PL-00681 Warsaw, Poland

来源：

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING | 2004年 / 51卷 / 07期

关键词：

event-related activity; event-related desynchronization and synchronization (ERD/ERS); false discovery rate; matching pursuit; spectrogram; short-time Fourier transform (STFT); time-frequency;

D O I：

10.1109/TBME.2004.827341

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

We propose and discuss a complete framework for estimating significant changes in the average time-frequency density of energy of event-related signals. Addressed issues include estimation of time-frequency energy density (matching pursuit and spectrogram), choice of resampling statistics to test the hypothesis of change in one small region (resel), and correction for multiplicity (false discovery rate). We present estimation of the significance of event-related electroencephalograph desynchronization and synchronization (ERD/ERS) in the time-frequency plane.(1).

引用

页码：1167 / 1175

页数：9

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