Presentation 2008-09-25
Fractal analyses of the Physiological signals with intake of meals
Yuki EBINA, Masahiro NAKAGAWA,
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Abstract(in English) It is considered that the detection of the states of vehicle driver is considerably important subject for the driving safety. In this report, the physiological data concerned with the spice and alcohol are quantified by means of the fractal analyses. In addition it is well appreciated that the chaos property of physiological data are to be examined in terms of Lyapunov analyses. In this report we shall propose a novel method to detect the driver's states such as the Automatic Drunk-Driving Prevention Devices (ADDPD) by means of such as a new quantification technique. The experimental results imply the tendency such that the correlation dimensions of EEG signals of subjects are to be distinguished between spice and alcohol. Moreover the correlation dimensions are found to be similar to the state before drinking after time duration, e.g. ca. 90mins.
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Keyword(in English) Fractal analysis / Alcohol / Spice / Correlation dimension / and Lyapunov analysis
Paper # MBE2008-36
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Conference Information
Committee MBE
Conference Date 2008/9/18(1days)
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Paper Information
Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Fractal analyses of the Physiological signals with intake of meals
Sub Title (in English)
Keyword(1) Fractal analysis
Keyword(2) Alcohol
Keyword(3) Spice
Keyword(4) Correlation dimension
Keyword(5) and Lyapunov analysis
1st Author's Name Yuki EBINA
1st Author's Affiliation Department of Electrical Engineering, Nagaoka University of Technology /()
2nd Author's Name Masahiro NAKAGAWA
2nd Author's Affiliation
Date 2008-09-25
Paper # MBE2008-36
Volume (vol) vol.108
Number (no) 219
Page pp.pp.-
#Pages 6
Date of Issue