Chaos and Fractal Analysis of Electroencephalogram Signals during Different Imaginary Motor Movement Tasks
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- Soe Ni Ni
- Department of Electrical Engineering, Nagaoka University of Technology
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- Nakagawa Masahiro
- Department of Electrical Engineering, Nagaoka University of Technology
書誌事項
- 公開日
- 2008
- DOI
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- 10.1143/jpsj.77.044801
- 公開者
- 一般社団法人 日本物理学会
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説明
This paper presents the novel approach to evaluate the effects of different motor activation tasks of the human electroencephalogram (EEG). The applications of chaos and fractal properties that are the most important tools in nonlinear analysis are been presented for four tasks of EEG during the real and imaginary motor movement. Three subjects, aged 23–30 years, participated in the experiment. Correlation dimension (D2), Lyapunov spectrum (λi), and Lyapunov dimension (DL) are been estimated to characterize the movement related EEG signals. Experimental results show that these nonlinear measures are good discriminators of EEG signals. There are significant differences in all conditions of subjective task. The fractal dimension appeared to be higher in movement conditions compared to the baseline condition. It is concluded that chaos and fractal analysis could be powerful methods in investigating brain activities during motor movements.
収録刊行物
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- Ｊｏｕｒｎａｌ ｏｆ ｔｈｅ Ｐｈｙｓｉｃａｌ Ｓｏｃｉｅｔｙ ｏｆ Ｊａｐａｎ
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Ｊｏｕｒｎａｌ ｏｆ ｔｈｅ Ｐｈｙｓｉｃａｌ Ｓｏｃｉｅｔｙ ｏｆ Ｊａｐａｎ 77 (4), 044801-044801, 2008
一般社団法人 日本物理学会
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詳細情報 詳細情報について
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- CRID
- 1390282679174199552
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- NII論文ID
- 130005436389
- 110006649431
- 210000107207
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- NII書誌ID
- AA00704814
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- ISSN
- 13474073
- 00319015
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- NDL書誌ID
- 9461501
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- 本文言語コード
- en
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- データソース種別
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- NDLサーチ
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