A Study of Fractal Properties by the Time-Dependent Singular Value Decomposition

• INBA Mieko

  Department of Electrical Engineering, Faculty of Engineering, Nagaoka University of Technology

• NAKAGAWA Masahiro

  Department of Electrical Engineering, Faculty of Engineering, Nagaoka University of Technology

Bibliographic Information

Other Title

• 時間依存型特異値分解を用いた脳波のフラクタル次元解析に関する研究

Abstract

We propose herewith a time-dependent singular value decomposition method to analyze the fractal properties as seen in EEG data. In practice we have evaluated an effective degree of freedom, α_e, shich is considered to reflect the inherent freedom of the macroscopic EEG signal, and analysed the fractal dimension of the time-dependent α_e in a time series. Consequentary we have explored the fractal properties of α_e fluctuations, which have been found tp critically depend on external photic stimuli which were applied continuously or intermittently under the different conditions. From the present analyses, we have elucidated that there exists certain correlation between the data in the rest state and the stimulated one.

Journal

• IEICE technical report. Nonlinear problems

  IEICE technical report. Nonlinear problems 96 (569), 9-16, 1997-03-13

  The Institute of Electronics, Information and Communication Engineers

Keywords

• EEG
• fractal
• singular value decomposition
• correlation dimension

Details

• CRID: 1572543027222668160
• NII Article ID: 110003291689
• NII Book ID: AN10060800
• Text Lang: ja
• Data Source:
  • CiNii Articles