EEG energy analysis based on MEMD with ICA pre-processIng

被引：0
|
作者：
Yin, Yunchao [1 ]
Cao, Jianting [1 ,3 ]
Tanaka, Toshihisa [2 ,3 ]
机构：
[1] Saitama Inst Technol, 1690 Fusaiji, Fukaya, Saitama 3690293, Japan
[2] Tokyo Univ Agr & Technol, Tokyo, Japan
[3] Brain Sci Inst, RIKEN, Saitama 3510198, Japan
来源：
2012 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC) | 2012年
关键词：
EMPIRICAL MODE DECOMPOSITION;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Analysis of EEG energy is a useful technique in the brain signal processing. This paper presents a data analysis method based on multivariate empirical mode decomposition (MEMD) with ICA pre-processing to calculate and evaluate the energy of EEG recorded from the quasi brain deaths. The main advantage of introducing ICA pre-processing is that we can reduce the noise and other unexpected components. The simulation results illustrate the effectiveness and performance of the proposed method in brain death determination.
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收藏
页数：5
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