Presentation 2014-11-21
Classification of finger movements using EEG
Ryutaro OKUSHITA, Natsue YOSHIMURA, Hiroyuki KAMBARA, Duk SHIN, Abdelkader Nasreddine Belkacem, Yasuharu KOIKE,
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Abstract(in English) Recently, It has been reported that classification the behavior and motor images, such as the wrist movements by using the brain activity. However, It had not been reported classified in the strength of the forces and finger movements from electroencephalogram (EEG). In this study, It was confirmed that it can be classified with finger flexion and extension, high force and low force using estimated cortex signal source current from EEG. Cortex signal source current was estimated at primary motor cortex, premotor cortex, supplementary motor area by using the brain data of EEG and nuclear Magnetic Resonance Imaging (MRI), Variational Bayesian Multimodal Encephalography (VBMEG). Furthermore, it was confirmed that high classification rate is achieved by using the frequency spectrum of the waveform since the firing rate of neurons varies with movements.
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Keyword(in English) Brain computer interface(BCI) / Electroencephalogram(EEG) / Magnetic Resonance Imaging(MRI) / Finger
Paper # NC2014-25
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Committee NC
Conference Date 2014/11/14(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Classification of finger movements using EEG
Sub Title (in English)
Keyword(1) Brain computer interface(BCI)
Keyword(2) Electroencephalogram(EEG)
Keyword(3) Magnetic Resonance Imaging(MRI)
Keyword(4) Finger
1st Author's Name Ryutaro OKUSHITA
1st Author's Affiliation Tokyo Institute of Technology()
2nd Author's Name Natsue YOSHIMURA
2nd Author's Affiliation Tokyo Institute of Technology
3rd Author's Name Hiroyuki KAMBARA
3rd Author's Affiliation Tokyo Institute of Technology
4th Author's Name Duk SHIN
4th Author's Affiliation Tokyo Institute of Technology
5th Author's Name Abdelkader Nasreddine Belkacem
5th Author's Affiliation Tokyo Institute of Technology
6th Author's Name Yasuharu KOIKE
6th Author's Affiliation Tokyo Institute of Technology
Date 2014-11-21
Paper # NC2014-25
Volume (vol) vol.114
Number (no) 326
Page pp.pp.-
#Pages 6
Date of Issue