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Takamasa Shimada

Showing results (1-10 of 6) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Fast spike detection in EEG using eigenvalue analysis and clustering of spatial amplitude distributionTadanori Fukami, Takamasa Shimada, Bunnoshin Ishikawa
Journal of Neural Engineering|March 22, 2018
Fast EEG spike detection via eigenvalue analysis and clustering of spatial amplitude distributionTadanori Fukami, Takamasa Shimada, Bunnoshin Ishikawa
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Character identification by maximizing the difference between target and non-target responses in EEG without sophisticated classifiersJunya Toma, Tadanori Fukami, Takamasa Shimada
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Performance Improvement of EEG-Based BCI Using Visual Feedback Based on Evaluation Scores Calculated by a ComputerHikaru Sato, Aoi Yoshida, Takamasa Shimada, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
EEG character identification using stimulus sequences designed to maximize mimimal hamming distanceTadanori Fukami, Takamasa Shimada, Elliott Forney, et al.
Journal of Neural Engineering|May 7, 2005
Estimation of temporary change of activation areas by moving an analysis time window in fMRI measurementTadanori Fukami, Takamasa Shimada, Takao Akatsuka, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Fast spike detection in EEG using eigenvalue analysis and clustering of spatial amplitude distributionTadanori Fukami, Takamasa Shimada, Bunnoshin Ishikawa
Journal of Neural Engineering|March 22, 2018
Fast EEG spike detection via eigenvalue analysis and clustering of spatial amplitude distributionTadanori Fukami, Takamasa Shimada, Bunnoshin Ishikawa
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Character identification by maximizing the difference between target and non-target responses in EEG without sophisticated classifiersJunya Toma, Tadanori Fukami, Takamasa Shimada
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Performance Improvement of EEG-Based BCI Using Visual Feedback Based on Evaluation Scores Calculated by a ComputerHikaru Sato, Aoi Yoshida, Takamasa Shimada, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
EEG character identification using stimulus sequences designed to maximize mimimal hamming distanceTadanori Fukami, Takamasa Shimada, Elliott Forney, et al.
Journal of Neural Engineering|May 7, 2005
Estimation of temporary change of activation areas by moving an analysis time window in fMRI measurementTadanori Fukami, Takamasa Shimada, Takao Akatsuka, et al.
Pageof 1