Analysis of Brain-Death EEG Data Using 2T-EMD Algorithm

Electroencephalography (EEG) energy analysisbased on empirical mode decomposition (EMD) and Multivariateempirical mode decomposition (MEMD) methodsfor evaluating consciousness level have been proposed inmany previous studies, and the effectiveness of these analysismethods had been proved by the experiment results. In thispaper, we proposed an analysis method for quasi brain deathEEG data based on new algorithm of Turning Tangent EMD(2T-EMD). Firstly, an artificial data was employed in theexperiments in order to inspect the feasibility of the newEEG data analysis method based on 2T-EMD. Then we used2T-EMD data analysis method to analyze the real patient´sEEG data that was recorded in the hospital. Finally, theexperiment results shown that 2T-EMD has advantage overother analysis methods on the computation accuracy andspeed under some certain conditions.