EEG data analysis based on EMD for coma and quasi-brain-death patients

摘要

Electroencephalography (EEG) is widely used in evaluating the absence ofncerebral cortex function for the determination of brain death. Since EEGnrecorded signal is always corrupted by some artefacts and various interferingnnoise, extracting active or nonactive features from noisy EEG signals andnevaluating their significance is therefore crucial in the process of brain deathndiagnosis. This article presents an EEG-based preliminary examination systemnassociated with empirical mode decomposition (EMD) technique to extractninformative brain activity features from real-world recorded clinical EEG data.nMoreover, the power spectrum technique is applied to evaluate the significantndifferences between the group of comatose patients and the group of quasi-brain-ndeaths. Our experimental results show effectiveness and some promisingndirections of applying the EMD method to the clinical EEG analysis.