| Presentation | 2012-11-17 Prediction of Joint angle from Muscle Activities decoded from Electrocorticograms in Primary Motor Cortex Duk SHIN, Yasuhiko NAKANISHI, Hiroyuki KAMBARA, Natsue YOSHIMURA, Hidenori WATANABE, Atsushi NAMBU, Tadashi ISA, Yukio NISHIMURA, Yasuharu KOIKE, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Electrocorticography (ECoG) has drawn attention as an effective recording approach for less invasive brain-machine interfaces (BMI). Previous studies succeeded in classifying the movement direction and predicting hand trajectories from ECoGs. Despite such successful studies, there still remain considerable works for the purpose of realizing an ECoG-based BMI robot. We developed a method to predict multiple muscle activities from ECoG measurements. We also verified that ECoG signals could be effective for predicting muscle activities in time varying series for preforming sequential movements. Each ECoG signal was filtered by different bandpass filters for sensorimotor rhythms, normalized by the standard z-score, and smoothed by a Gaussian filter. We used sparse linear regression to find the best fit between frequency bands of ECoG and electromyogram (EMG). We also predicted angle of 4 DOF robot arm from the decoded EMG using 3-layer neural network. Consequently, this study shows that it could derive online prediction of angle of robot arm from ECoG signals. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | ECoG / BMI / EMG / prediction |
| Paper # | MBE2012-57,NC2012-62 |
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| Committee | NC |
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| Conference Date | 2012/11/9(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Prediction of Joint angle from Muscle Activities decoded from Electrocorticograms in Primary Motor Cortex |
| Sub Title (in English) | |
| Keyword(1) | ECoG |
| Keyword(2) | BMI |
| Keyword(3) | EMG |
| Keyword(4) | prediction |
| 1st Author's Name | Duk SHIN |
| 1st Author's Affiliation | Precision and Intelligence Laboratory, Tokyo Institute of Technology() |
| 2nd Author's Name | Yasuhiko NAKANISHI |
| 2nd Author's Affiliation | Precision and Intelligence Laboratory, Tokyo Institute of Technology |
| 3rd Author's Name | Hiroyuki KAMBARA |
| 3rd Author's Affiliation | Precision and Intelligence Laboratory, Tokyo Institute of Technology |
| 4th Author's Name | Natsue YOSHIMURA |
| 4th Author's Affiliation | Precision and Intelligence Laboratory, Tokyo Institute of Technology |
| 5th Author's Name | Hidenori WATANABE |
| 5th Author's Affiliation | National Institute for Physiological Sciences, National Institutes of Natural Sciences |
| 6th Author's Name | Atsushi NAMBU |
| 6th Author's Affiliation | National Institute for Physiological Sciences, National Institutes of Natural Sciences |
| 7th Author's Name | Tadashi ISA |
| 7th Author's Affiliation | National Institute for Physiological Sciences, National Institutes of Natural Sciences |
| 8th Author's Name | Yukio NISHIMURA |
| 8th Author's Affiliation | National Institute for Physiological Sciences, National Institutes of Natural Sciences |
| 9th Author's Name | Yasuharu KOIKE |
| 9th Author's Affiliation | Precision and Intelligence Laboratory, Tokyo Institute of Technology |
| Date | 2012-11-17 |
| Paper # | MBE2012-57,NC2012-62 |
| Volume (vol) | vol.112 |
| Number (no) | 298 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |