EEG data analysis based on EMD for coma and quasi-brain-death patients
Electroencephalography (EEG) is widely used in evaluating the absence of cerebral cortex function for the determination of brain death. Since EEG recorded signal is always corrupted by some artefacts and various interfering noise, extracting active or nonactive features from noisy EEG signals and evaluating their significance is therefore crucial in the process of brain death diagnosis. This article presents an EEG-based preliminary examination system associated with empirical mode decomposition (EMD) technique to extract informative brain activity features from real-world recorded clinical EEG data. Moreover, the power spectrum technique is applied to evaluate the significant differences between the group of comatose patients and the group of quasi-brain-deaths. Our experimental results show effectiveness and some promising directions of applying the EMD method to the clinical EEG analysis.
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empirical mode decomposition;
intrinsic mode function;
Document Type: Research Article
Saitama Institute of Technology, Saitama 369-0293, Japan
Saitama Institute of Technology, Saitama 369-0293, Japan,East China University of Science and Technology, Shanghai 200237, China,Brain Science Institute, Saitama 351-0198, Japan
Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan,Brain Science Institute, Saitama 351-0198, Japan
East China University of Science and Technology, Shanghai 200237, China
Huadong Hospital Affiliated to Fudan University, Shanghai 200040, China
Publication date: March 1, 2011
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