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 Japanese) | (See Japanese page) |
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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Conference Information | |
Committee | NC |
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Conference Date | 2015/3/9(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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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 |