EEG energy analysis based on MEMD with ICA pre-processing
APSIPA(2012)
摘要
Analysis of EEG energy is a useful technique in the brain signal processing. This paper presents a data analysis method based on multivariate empirical mode decomposition (MEMD) with ICA pre-processing to calculate and evaluate the energy of EEG recorded from the quasi brain deaths. The main advantage of introducing ICA pre-processing is that we can reduce the noise and other unexpected components. The simulation results illustrate the effectiveness and performance of the proposed method in brain death determination.
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关键词
quasibrain deaths,noise,neurophysiology,brain signal processing,memd,lca preprocessing,electroencephalography,data analysis,multivariate empirical mode decomposition,medical signal processing,eeg energy analysis,brain death determination,data analysis method
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