Presentation 2015-03-02
Modeling the Effect of Galvanic Vestibular Stimulaion on Body Sway for Electrical Circuit
Kazuma Aoyama, Satoru Sakurai, Nobuhisa Miyamoto, Masahiro Furukawa, Taro Maeda, Hideyuki Ando,
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Abstract(in English) In this work, the amount of sway prediction model in Galvanic Vestibular Stimulation (GVS) were proposed. It is known that the strength of acceleration and angle of sway induced by GVS correlate with current strength however these decrease gradually although subjects stimulated constant current. Then we modeled effect of GVS on body sway for electric circuit contains resistors and a capacitor and investigated the relation between amount of charges of capacitor and evoked body sway. Results of this work indicate the validation of our circuit model.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Galvanic Vestibular Stimulation / countercurrent / acceleration
Paper # HIP2014-87
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Committee HIP
Conference Date 2015/2/23(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Modeling the Effect of Galvanic Vestibular Stimulaion on Body Sway for Electrical Circuit
Sub Title (in English)
Keyword(1) Galvanic Vestibular Stimulation
Keyword(2) countercurrent
Keyword(3) acceleration
1st Author's Name Kazuma Aoyama
1st Author's Affiliation Graduate School of Information Science and Technology, Osaka University:Japan Society for Promotion Science()
2nd Author's Name Satoru Sakurai
2nd Author's Affiliation Graduate School of Information Science and Technology, Osaka University
3rd Author's Name Nobuhisa Miyamoto
3rd Author's Affiliation Graduate School of Information Science and Technology, Osaka University:Center for Information and Neural Networks (Cinet) National Institute of Information and Communication
4th Author's Name Masahiro Furukawa
4th Author's Affiliation Graduate School of Information Science and Technology, Osaka University:Center for Information and Neural Networks (Cinet) National Institute of Information and Communication
5th Author's Name Taro Maeda
5th Author's Affiliation Graduate School of Information Science and Technology, Osaka University:Center for Information and Neural Networks (Cinet) National Institute of Information and Communication
6th Author's Name Hideyuki Ando
6th Author's Affiliation Graduate School of Information Science and Technology, Osaka University:Center for Information and Neural Networks (Cinet) National Institute of Information and Communication
Date 2015-03-02
Paper # HIP2014-87
Volume (vol) vol.114
Number (no) 483
Page pp.pp.-
#Pages 4
Date of Issue