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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 10 of 10  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
CQ, CBE
(Joint)
2023-01-27
13:40
Ibaraki Epochal Tsukuba International Congress Center
(Primary: On-site, Secondary: Online)
[Invited Talk] Development of a cognitive training system based on an EEG-BMI and its application to the competition "bSports"
Ryohei P. Hasegawa (AIST) CQ2022-77
In recent years, there has been a growing movement to put the Brain-Machine Interface (BMI), which directly connects the... [more] CQ2022-77
p.91
MBE, IEE-MBE 2022-06-17
13:55
Online Online Development of Brain Machine Interface using EEG when recalling visual images
Wataru Murata, Junichi Hori (NU) MBE2022-7
To assist the communication of motor-impaired, brain-machine interface (BMI) has been developed in recent years. In this... [more] MBE2022-7
pp.2-4
CCS 2017-11-09
13:30
Osaka Osaka Univ. [Invited Talk] ECoG-based Brain-Machine Interface -- System development and neuroscience issues --
Takafumi Suzuki (NICT) CCS2017-22
Electrocorticogram (ECoG) has recently been attracting increased attention as a source signal for clinical Brain-machine... [more] CCS2017-22
pp.11-14
MBE 2016-06-17
10:25
Hokkaido Hokkaido University Linear and non-linear classification of electroencephalographic activity during hand motor tasks
Sota Ikegami, Yasunari Hashimoto (Kitami Inst. of Tech) MBE2016-10
The purpose of this study is searchingan appropriate classifier for motor-related cortical activity-based BMI for stroll... [more] MBE2016-10
pp.5-10
MBE, NC
(Joint)
2016-05-21
13:50
Toyama University of Toyama High-Sensitive Imaging of Motor Cortex Activity Using Cortical Current Source Estimation
Shuka Shibusawa, Shohei Tsuchimoto, Shoko Kasuga, Kenji Kato (Keio Univ.), Emi Yamada, Hiroki Ebata (Saiseikai), Meigen Liu, Junichi Ushiba (Keio Univ.) NC2016-3
Electroencephalography (EEG) is often used for Brain-Machine Interface (BMI) rehabilitation, which aims to restoring mo... [more] NC2016-3
pp.11-16
MBE, NC
(Joint)
2011-11-25
10:25
Miyagi ECEI Departments, Graduate School of Engineering, Tohoku University Muscle activities reconstruction using electroencephalography cortical currents
Natsue Yoshimura (Tokyo Inst. Tech.), Charles S. DaSalla, Takashi Hanakawa (NCNP), Masa-aki Sato (ATR), Yasuharu Koike (Tokyo Inst. Tech.) NC2011-78
Electroencephalography–based brain-machine interfaces (EEG-based BMIs) have recently been able to discriminate mov... [more] NC2011-78
pp.35-40
MBE 2011-06-17
15:40
Hokkaido Hokkaido University Changes of Excitability on Sensorimotor Cortex by Closed-Loop Brain-Machine Interface
Mitsuaki Takemi, Misa Oto, Daiki Kamatani, Akio Kimura, Meigen Liu, Junichi Ushiba (Keio Univ.) MBE2011-19
A possible mechanism of brain-machine interface (BMI) assisted stroke rehabilitation of upper limb can be described as a... [more] MBE2011-19
pp.45-50
WIT 2010-08-05
15:15
Tokyo NHK Sci. Tech. Res. Labs. [Invited Talk] Who are the users of brain-computer interface?
Koichi Mori, Minae Okada, Sachiko Okada, Toshinori Maruoka (RI of NRCD) WIT2010-22
Owing to the progress in medicine, more and more people with severe disabilities choose to live in their own home even w... [more] WIT2010-22
pp.25-30
NC, MBE
(Joint)
2010-03-09
15:25
Tokyo Tamagawa University Construction of head voxel models for EEG source estimation -- Automated noise threshold identification of MR images based on the EM algorithm --
Teruyoshi Sasayama (Kyoto Univ./JSPS), Tomoaki Iida, Takenori Oida, Shoji Hamada, Tetsuo Kobayashi (Kyoto Univ.) NC2009-98
Utilization of custom-made real head subjects’ models is expected to enhance the reliability of EEG (electroencephalogra... [more] NC2009-98
pp.61-66
NC 2007-10-18
16:20
Miyagi Tohoku University [Invited Talk] Ethics and Governance of Brain-Machine Interface -- Current and Future Visions in Japan and US --
Tamami Fukushi (JST), Osamu Sakura (JST/Univ of Tokyo) NC2007-44
Neuroscience research has been developed by basic biology, physiology as well as clinical observations/experiences. In r... [more] NC2007-44
pp.59-62
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