EMD based power spectral pattern analysis for quasi-brain-death EEG

Authors:
Qi-Wei Shi;Ju-Hong Yang;Jian-Ting Cao;Toshihisa Tanaka;Tomasz M. Rutkowski;Ru-Bin Wang;Hui-Li Zhu
Affiliations:
Saitama Institute of Technology, Fukaya-shi, Saitama, Japan;Saitama Institute of Technology, Fukaya-shi, Saitama, Japan;Saitama Institute of Technology, Fukaya-shi, Saitama, Japan and Brain Science Institute, RIKEN, Wako-shi, Saitama, Japan and East China University of Science and Technology, Shanghai, China;Tokyo University of Agriculture and Technology, Koganei-shi, Tokyo, Japan and Brain Science Institute, RIKEN, Wako-shi, Saitama, Japan;Brain Science Institute, RIKEN, Wako-shi, Saitama, Japan;East China University of Science and Technology, Shanghai, China;Huadong Hospital Affiliated to Fudan University, Shanghai, China
Venue:
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Year:
2009

Citing 2
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Abstract

Evaluating the significance differences between the group of comatose patients and the group of brain death is important in the determination of brain death. This paper presents the power spectral pattern analysis for Quasi-Brain-Death EEG based on Empirical Mode Decomposition (EMD). We first decompose a single-channel recorded EEG data into a number of components with different frequencies. We then focus on the components which are related to the brain activities. Since the power of spontaneous activities in the brain is usually higher than that of non-activity components. Therefore, we can evaluate the power spectral patterns between comatose patients and quasi-brain-deaths. Our experimental results illustrate the effectiveness of proposed method.