Presentation 2015-03-17
Three-dimensional Fingertip Trajectory Decoded from Electrocorticogram of Human Cerebral Cortex
Yasuhiko Nakanishi, Takufumi Yanagisawa, Duk Shin, Hiroyuki Kambara, Natsue Yoshimura, Ryohei Fukuma, Haruhiko Kishima, Masayuki Hirata, Yasuharu Koike,
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Abstract(in English) Brain-machine interface technology has a possibility to be applied to practical neuroprosthesis for disabled persons. For example, the trajectory decoding of the human elbow and wrist has been already achieved in various studies. However, the accurate prediction for trajectory of finger motion is still a challengeable problem. We subdurally implanted 90 electrocorticogram (ECoG) electrodes on the human sensorimotor cortex and predicted three-dimensional trajectories of the thumb, index and middle fingers base on the ECoG signals using a sparse linear regression. A participant put her right hand on a table palm-down, tapping the table with one of her thumb, index and middle fingers as tasks. The average of Pearson's correlation coefficient and normalized root-mean-square error between the predicted and actual trajectories were 0.83-0.90 and 0.24-0.48, respectively.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Brain-machine interface / Electrocorticography (ECoG) / Trajectory prediction / Sensorimotor cortex / Linear regression
Paper # MBE2014-151,NC2014-102
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Committee NC
Conference Date 2015/3/9(1days)
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Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Three-dimensional Fingertip Trajectory Decoded from Electrocorticogram of Human Cerebral Cortex
Sub Title (in English)
Keyword(1) Brain-machine interface
Keyword(2) Electrocorticography (ECoG)
Keyword(3) Trajectory prediction
Keyword(4) Sensorimotor cortex
Keyword(5) Linear regression
1st Author's Name Yasuhiko Nakanishi
1st Author's Affiliation Precision and Intelligence Laboratory, Tokyo Institute of Technology()
2nd Author's Name Takufumi Yanagisawa
2nd Author's Affiliation Graduate school of medicine osaka university
3rd Author's Name Duk Shin
3rd Author's Affiliation Precision and Intelligence Laboratory, Tokyo Institute of Technology
4th Author's Name Hiroyuki Kambara
4th Author's Affiliation Precision and Intelligence Laboratory, Tokyo Institute of Technology
5th Author's Name Natsue Yoshimura
5th Author's Affiliation Precision and Intelligence Laboratory, Tokyo Institute of Technology
6th Author's Name Ryohei Fukuma
6th Author's Affiliation Advanced Telecommunications Research Institute International
7th Author's Name Haruhiko Kishima
7th Author's Affiliation Graduate school of medicine osaka university
8th Author's Name Masayuki Hirata
8th Author's Affiliation Graduate school of medicine osaka university
9th Author's Name Yasuharu Koike
9th Author's Affiliation Precision and Intelligence Laboratory, Tokyo Institute of Technology
Date 2015-03-17
Paper # MBE2014-151,NC2014-102
Volume (vol) vol.114
Number (no) 515
Page pp.pp.-
#Pages 4
Date of Issue