Presentation 2011-07-23
Predicting 5 postures in motor imagery from EEG signals
Yuichiro TAKAI, Hitoshi NAKAZAWA, Shigeki NAKAUCHI, Michiteru KITAZAKI,
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Abstract(in English) We measured ERPs during observing and/or imaging own body's leaning actions using 128 channel EEG measuring system, and predicted directions of imagined movements from ERPs by applying a neural decoding technique. We could predict leaning directions up to 60 % accuracy (chance level: 20 %). The prediction accuracy of motor imagery was worse without visual image than with visual image, but still significantly above the chance level.
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Keyword(in English) EEG / Event related potentials / Motor imagery / Neural decoding
Paper # HIP2011-29
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Committee HIP
Conference Date 2011/7/16(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Predicting 5 postures in motor imagery from EEG signals
Sub Title (in English)
Keyword(1) EEG
Keyword(2) Event related potentials
Keyword(3) Motor imagery
Keyword(4) Neural decoding
1st Author's Name Yuichiro TAKAI
1st Author's Affiliation Graduate School of Engineering, Toyohashi University of Technology()
2nd Author's Name Hitoshi NAKAZAWA
2nd Author's Affiliation Department of Psychology, Senshu University
3rd Author's Name Shigeki NAKAUCHI
3rd Author's Affiliation Department of Computer Science and Engineering, Toyohashi University of Technology
4th Author's Name Michiteru KITAZAKI
4th Author's Affiliation Department of Computer Science and Engineering, Toyohashi University of Technology
Date 2011-07-23
Paper # HIP2011-29
Volume (vol) vol.111
Number (no) 155
Page pp.pp.-
#Pages 4
Date of Issue