MULTISCALE ENTROPY ANALYSIS OF EEG FROM PATIENTS UNDER DIFFERENT PATHOLOGICAL CONDITIONS

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  • JEONG-HYEON PARK
    Department of Physics, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Korea
  • SOOYONG KIM
    Department of Physics, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Korea
  • CHEOL-HYUN KIM
    Department of Physics, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Korea
  • ANDRZEJ CICHOCKI
    Laboratory for Advanced Brain Signal Processing, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako-Shi, Saitama 351-0198, Japan
  • KYUNGSIK KIM
    Department of Physics, Pukyong National University, 599-1 Daeyeon-Dong, Busan 608-737, Korea

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Description

<jats:p> Multiscale sample entropy (MSE) of human electroencephalogram (EEG) data from patients under different pathological conditions of Alzheimer's disease (AD) was evaluated to measure the complexity of the signal. Quantifying the complexity level with respect to various temporal scales, MSE analysis provides a dynamical description of AD development. When compared to EEG data from normal subjects, EEG data from subjects with mild cognitive impairment (MCI) showed nearly the same complexity profile, but a scale discrepancy which may occur from a spectral abnormality. EEG data from severe AD patients showed a loss of complexity over the wide range of time scales, indicating a destruction of nonlinear structures in brain dynamics. We compare the MSE method and spectral analysis to propose that nonlinear dynamical approach combining a multiscale method is crucial for revealing AD mechanisms. </jats:p>

Journal

  • Fractals

    Fractals 15 (04), 399-404, 2007-12

    World Scientific Pub Co Pte Lt

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