Analyzing the EEG Energy of Quasi Brain Death using MEMD
نویسندگان
چکیده
Electroencephalography (EEG) based preliminary examination system has been proposed in the clinical brain death determination. This paper presents a novel data analysis algorithm based on multivariate empirical mode decomposition (MEMD) to calculate and evaluate the energy of EEG recorded from the comatose patients and brain deaths. MEMD is an extended approach of empirical mode decomposition (EMD), in which it overcomes the problem of the decomposed number and frequency, and enable to extract brain activity features from multi-channel EEG simultaneously. Comparison with the previous study by used EMD, not only the performance of computation complexity but also the accuracy of data analysis is improved.
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