Presentation | 2011-03-11 On the Feature Extraction of Biological Signals based on Multifractal Analysis Akira OHASHI, Masahiro NAKAGAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A chaos and fractal Analysis is widely used for feature extraction of biological signals. For example, according to the report, EEG signal has chaos and fractal property. The objective of this research is to approximate the multifractal dimension based on Taylor expansion. We apply proposed method to theoretical model, we examine the approximate performance. And we examine the feature extraction using coefficient. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Multifractal dimension / Biological signal / Feature extraction / Taylor expansion |
Paper # | NLP2010-182 |
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Committee | NLP |
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Conference Date | 2011/3/3(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | On the Feature Extraction of Biological Signals based on Multifractal Analysis |
Sub Title (in English) | |
Keyword(1) | Multifractal dimension |
Keyword(2) | Biological signal |
Keyword(3) | Feature extraction |
Keyword(4) | Taylor expansion |
1st Author's Name | Akira OHASHI |
1st Author's Affiliation | Department of Electrical Engineering, Nagaoka University of Technology() |
2nd Author's Name | Masahiro NAKAGAWA |
2nd Author's Affiliation | Department of Electrical Engineering, Nagaoka University of Technology |
Date | 2011-03-11 |
Paper # | NLP2010-182 |
Volume (vol) | vol.110 |
Number (no) | 465 |
Page | pp.pp.- |
#Pages | 6 |
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