Shin'Ichiro Kanoh
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Shin'Ichiro Kanoh has a total of 17 co-authors. Here are the top co-authors by number of shared publications:
- Ko-Ichiro Miyamoto
Department of Electronic Engineering, Tohoku University, Sendai, Miyagi 980-8579, Japan
2 shared publications - Tatsuo Yoshinobu
Graduate School of Biomedical Engineering, Tohoku University, Sendai, Miyagi 980-8579, Japan
2 shared publications - Anatole Lecuyer
National Institute for Research in Computer Science and Control (INRIA)
1 shared publication - Bastian Venthur
Berlin Institute of Technology
1 shared publication - Benjamin Blankertz
Neurotechnology Group, Technische Universität Berlin, Berlin, Germany
1 shared publication - Christian A. Kothe
SCCN INC., UCSD
1 shared publication
Latest Publications
- 1 August 2012
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Vol. 2012 (1094687X) , 1703-1706
Generation of spatial filters by ICA for detecting motor-related oscillatory EEG
To detect the imagined limb movement from EEG for the use in BCI, the increase (ERS) and decrease (ERD) of the band power of the EEG originated from the sensorimotor cortex are commonly used. A spatial filter using neighboring channels is generally applied to the measured EEG for detecting such brain activity related to the motor imagery. However, the configuration and location of the spatial filter have been selected by the empirical method on trial-and-error basis. In this study, we recorded the EEG during motor imagery of left hand, right hand and feet from five subjects, and the ICA (independent component analysis) was applied to discover the spatial filters for extracting event-related EEG components of the motor imagery. It was suggested that the application of ICA might offer the experimenters appropriate local spatial filters, or at least, the “initial guess” for designing or selecting custom local spatial filters.
- 1 August 2012
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Vol. 2012 (1094687X) , 1703-1706
Generation of spatial filters by ICA for detecting motor-related oscillatory EEG
To detect the imagined limb movement from EEG for the use in BCI, the increase (ERS) and decrease (ERD) of the band power of the EEG originated from the sensorimotor cortex are commonly used. A spatial filter using neighboring channels is generally applied to the measured EEG for detecting such brain activity related to the motor imagery. However, the configuration and location of the spatial filter have been selected by the empirical method on trial-and-error basis. In this study, we recorded the EEG during motor imagery of left hand, right hand and feet from five subjects, and the ICA (independent component analysis) was applied to discover the spatial filters for extracting event-related EEG components of the motor imagery. It was suggested that the application of ICA might offer the experimenters appropriate local spatial filters, or at least, the “initial guess” for designing or selecting custom local spatial filters.
- 1 August 2011
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2011 (1094687X) , 6405-6408
A P300-based BCI system for controlling computer cursor movement
A P300-based BCI (brain-computer interface) system for controlling the movement of the cursor displayed on the computer screen was proposed and evaluated. On the LCD computer screen, the cursor was displayed with the surrounded eight small circles, each of which was blinked sequentially in a random order. Five healthy subjects were requested to gaze at one of the circles placed in the preferred direction. The P300 activities elicited by the random blink of the target circle were detected by pattern classifier and they were used to move the cursor to the same direction as the target circle. It was shown that all of the subjects could control the movement of the cursor to their preferred direction by moving their gaze point in a short distance. This system can be applied to the voluntary control of the movement of the computer cursor, and the navigation of robot or video camera, without using users' extremities.
- 1 August 2011
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2011 (1094687X) , 6405-6408
A P300-based BCI system for controlling computer cursor movement
A P300-based BCI (brain-computer interface) system for controlling the movement of the cursor displayed on the computer screen was proposed and evaluated. On the LCD computer screen, the cursor was displayed with the surrounded eight small circles, each of which was blinked sequentially in a random order. Five healthy subjects were requested to gaze at one of the circles placed in the preferred direction. The P300 activities elicited by the random blink of the target circle were detected by pattern classifier and they were used to move the cursor to the same direction as the target circle. It was shown that all of the subjects could control the movement of the cursor to their preferred direction by moving their gaze point in a short distance. This system can be applied to the voluntary control of the movement of the computer cursor, and the navigation of robot or video camera, without using users' extremities.