Dynamic EEG Analysis via the Variability of Band Relative Intensity Ratio: A Time-Frequency Method

Author

Zhang, Li ; He, Wei ; Miao, Xiaobo ; Yang, Jianhong

Author_Institution

Coll. of Electr. Eng., Chongqing Univ.

fYear

2006

Firstpage

2664

Lastpage

2667

Abstract

The effectiveness of band relative intensity ratio (BRIR) based on time-frequency representations (TFRS) was explored as a method to depict brain dynamics in this paper. Electroencephalographic (EEG) signals from 20 subjects through 16 channels have been studied under open eyes state and closed eyes state. The results indicate that EEG rhythm features and the dynamic process of brain activity can be revealed explicitly though the time-frequency variability and the time-frequency-space variability of BRIR. The alpha rhythm is best seen under eyes closed state and blocked when eyes are open generally, but it is strengthened in some times when it is blocked overall under open eyes state

Keywords

electroencephalography; medical signal processing; signal representation; time-frequency analysis; alpha rhythm; band relative intensity ratio; brain dynamics; closed eyes state; dynamic EEG analysis; electroencephalography; open eyes state; time-frequency representations; time-frequency variability; time-frequency-space variability; Brain; Electroencephalography; Eyes; Fourier transforms; Frequency domain analysis; Helium; Neurons; Rhythm; Signal analysis; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the

Conference_Location

Shanghai

Print_ISBN

0-7803-8741-4

Type

conf

DOI

10.1109/IEMBS.2005.1617018

Filename

1617018