Presentation 2014-07-10
Development of Surface Electromyography Technique Utilizing Stochastic Resonance in A Nonlinear Device Network
Yuri IMAI, Kento SHIRATA, Ryouta KURODA, Seiya KASAI,
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Abstract(in English) Toward easy-to-use electromyography (EMG) device, we investigate to apply stochastic resonance in a nonlinear device network to high-sensitive and stable surface EMG detection. We use GaAs-based nanowire FET, which has abrupt switching characteristic, for the nonlinear device. We confirm that stochastic resonance successfully occurs on the surface EMG using the nanowire FET. We also demonstrate higher signal-to-noise ratio using stochastic resonance in a nanowire-FET network as compared with the previous techniques.
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Keyword(in English) Nonlinear device / Stochastic Resonance / Network / Electromyography / Noise
Paper # ED2014-46
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Committee ED
Conference Date 2014/7/3(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Development of Surface Electromyography Technique Utilizing Stochastic Resonance in A Nonlinear Device Network
Sub Title (in English)
Keyword(1) Nonlinear device
Keyword(2) Stochastic Resonance
Keyword(3) Network
Keyword(4) Electromyography
Keyword(5) Noise
1st Author's Name Yuri IMAI
1st Author's Affiliation Graduate School of Information Science and Technology, and Research Center for Integrated Quantum Electronics, Hokkaido University()
2nd Author's Name Kento SHIRATA
2nd Author's Affiliation Graduate School of Information Science and Technology, and Research Center for Integrated Quantum Electronics, Hokkaido University
3rd Author's Name Ryouta KURODA
3rd Author's Affiliation Graduate School of Information Science and Technology, and Research Center for Integrated Quantum Electronics, Hokkaido University
4th Author's Name Seiya KASAI
4th Author's Affiliation Graduate School of Information Science and Technology, and Research Center for Integrated Quantum Electronics, Hokkaido University
Date 2014-07-10
Paper # ED2014-46
Volume (vol) vol.114
Number (no) 133
Page pp.pp.-
#Pages 6
Date of Issue