Dynamic MEMD Associated with Approximate Entropy in Patients’ Consciousness Evaluation

  • Gaochao CuiEmail author
  • Qibin Zhao
  • Toshihisa Tanaka
  • Jianting Cao
  • Andrzej Cichocki
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9947)


Electroencephalography (EEG) based preliminary examination has been widely used in diagnosis of brain diseases. Based on previous studies, clinical brain death determination also can be actualized by analyzing EEG signal of patients. Dynamic Multivariate empirical mode decomposition (D-MEMD) and approximate entropy (ApEn) are two kinds of methods to analyze brain activity status of the patients in different perspectives for brain death determination. In our previous studies, D-MEMD and ApEn methods were always used severally and it cannot analyzing the patients’ brain activity entirety. In this paper, we present a combine analysis method based on D-MEMD and ApEn methods to determine patients’ brain activity level. Moreover, We will analysis three different status EEG data of subjects in normal awake, comatose patients and brain death. The analyzed results illustrate the effectiveness and reliability of the proposed methods.


Electroencephalography (EEG) Multivariate empirical mode decomposition (MEMD) Dynamic-MEMD Approximate entropy (ApEn) 


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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Gaochao Cui
    • 1
    • 2
    Email author
  • Qibin Zhao
    • 1
    • 2
  • Toshihisa Tanaka
    • 3
  • Jianting Cao
    • 1
    • 2
  • Andrzej Cichocki
    • 2
  1. 1.Saitama Institute of TechnologyFukayaJapan
  2. 2.Brain Science Institute, RIKENWakoshiJapan
  3. 3.Tokyo University of Agriculture and TechnologyKoganei-shiJapan

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