Presentation | 2014-09-12 Proposal of Digitization of Electroencephalogram by Using Hilbert-Huang Transform and Its Application to Biometrics Ryota HORIE, Noriki ITO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We proposed a new method to extract features from non-stationary EEG signals with long time context, like EEG during listening music. In the method, an EEG signal was decomposed into narrowband signals, called intrinsic mode function. Polarity of the function was obtained based on the function's spontaneous phase and encoded into 2 symbols. Entropy, which indicates biased appearance of a symbol, was calculated on every sample points. An experimental result showed biased appearances of a symbol in particular timing of the music in particular narrowband signals in particular channels. If the biased appearances of a symbol is stably appeared in a person and differently appeared in other persons, the symbol sequence can be applied as a feature for personal identification. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Hilbert-Huang Transform / Electroencephalogram / Digitization / Biometrics |
Paper # | BioX2014-14,MBE2014-37 |
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Committee | BioX |
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Conference Date | 2014/9/5(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Biometrics (BioX) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Proposal of Digitization of Electroencephalogram by Using Hilbert-Huang Transform and Its Application to Biometrics |
Sub Title (in English) | |
Keyword(1) | Hilbert-Huang Transform |
Keyword(2) | Electroencephalogram |
Keyword(3) | Digitization |
Keyword(4) | Biometrics |
1st Author's Name | Ryota HORIE |
1st Author's Affiliation | College of Engineering, Shibaura Institute of Technology() |
2nd Author's Name | Noriki ITO |
2nd Author's Affiliation | College of Engineering, Shibaura Institute of Technology |
Date | 2014-09-12 |
Paper # | BioX2014-14,MBE2014-37 |
Volume (vol) | vol.114 |
Number (no) | 212 |
Page | pp.pp.- |
#Pages | 4 |
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