Study on separation for the frequency bands of EEG signal and frequency band relative intensity analysis based upon EMD

Authors:
Ji Zhong;Qin Shuren;Peng Chenglin
Affiliations:
Test Center, Chongqing University, Chongqing, China;Test Center, Chongqing University, Chongqing, China;Test Center, Chongqing University, Chongqing, China
Venue:
ISPRA'08 Proceedings of the 7th WSEAS International Conference on Signal Processing, Robotics and Automation
Year:
2008

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Time-frequency analysis: theory and applications

Time-frequency analysis: theory and applications
Detection of EEG basic rhythm feature by using band relative intensity ratio(BRIR)

ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2

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Abstract

The different background rhythms and their restraint in electroencephalgraph(EEG) signal can reflect the different physiological states of the patient. The concept of frequency band relative intensity ratio(FBRIR) is introduced to evaluate the state of EEG background rhythms of a patient, and empirical mode decomposition(EMD) is used to realize the separation of the frequency bands in EEG signal effectively. Furthermore, Gabor transform is applied for the computation of FBRIR. Then the FBRIR of every frequency band in EEG signal is displayed in a same window, which can show the distribution of every background rhythms in EEG signal intuitionisticly and provide more clincal information for doctors.