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Taichi Tanaka
Isao Nambu
Yasuhiro Wada

Showing results (1-10 of 172) 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 6, 2020
Developing a Method to Control an Arm-Assist-Suit by Predicting Arm-Trajectory Using ElectromyographyTaichi Tanaka, Isao Nambu, Yasuhiro Wada
Sensors (Basel, Switzerland)|July 12, 2025
Mitigating the Impact of Electrode Shift on Classification Performance in Electromyography Applications Using Sliding-Window NormalizationTaichi Tanaka, Isao Nambu, Yasuhiro Wada
Sensors (Basel, Switzerland)|July 9, 2022
Sliding-Window Normalization to Improve the Performance of Machine-Learning Models for Real-Time Motion Prediction Using ElectromyographyTaichi Tanaka, Isao Nambu, Yoshiko Maruyama, et al.
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
Verification of Normalization Method to Improve Usability and Versatility among Users of Applications that Predict Continuous Motion Using ElectromyographyTaichi Tanaka, Isao Nambu, Yoshiko Maruyama, et al.
Brain Sciences|January 27, 2021
Forward Inverse Relaxation Model Incorporating Movement Duration OptimizationMisaki Takeda, Isao Nambu, Yasuhiro Wada
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Predicting occurrence of errors during a Go/No-Go task from EEG signals using Support Vector MachineShota Yamane, Isao Nambu, Yasuhiro Wada
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Classification of Movement Direction From Electroencephalogram During Working Memory TimeNaoki Fukuda, Isao Nambu, Yasuhiro Wada
Journal of Neural Engineering|January 17, 2020
fNIRS-GANs: data augmentation using generative adversarial networks for classifying motor tasks from functional near-infrared spectroscopyTomoyuki Nagasawa, Takanori Sato, Isao Nambu, et al.
Computational Intelligence and Neuroscience|December 19, 2017
Convolutional Neural Networks with 3D Input for P300 Identification in Auditory Brain-Computer InterfacesEduardo Carabez, Miho Sugi, Isao Nambu, et al.
Frontiers in Human Neuroscience|July 7, 2018
Alpha Phase Synchronization of Parietal Areas Reflects Switch-Specific Activity During Mental Rotation: An EEG StudyHiroshi Yokoyama, Isao Nambu, Jun Izawa, et al.
Pageof 18

Showing results (1-10 of 172) with videos related to

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Pageof 18
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Developing a Method to Control an Arm-Assist-Suit by Predicting Arm-Trajectory Using ElectromyographyTaichi Tanaka, Isao Nambu, Yasuhiro Wada
Sensors (Basel, Switzerland)|July 12, 2025
Mitigating the Impact of Electrode Shift on Classification Performance in Electromyography Applications Using Sliding-Window NormalizationTaichi Tanaka, Isao Nambu, Yasuhiro Wada
Sensors (Basel, Switzerland)|July 9, 2022
Sliding-Window Normalization to Improve the Performance of Machine-Learning Models for Real-Time Motion Prediction Using ElectromyographyTaichi Tanaka, Isao Nambu, Yoshiko Maruyama, et al.
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
Verification of Normalization Method to Improve Usability and Versatility among Users of Applications that Predict Continuous Motion Using ElectromyographyTaichi Tanaka, Isao Nambu, Yoshiko Maruyama, et al.
Brain Sciences|January 27, 2021
Forward Inverse Relaxation Model Incorporating Movement Duration OptimizationMisaki Takeda, Isao Nambu, Yasuhiro Wada
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Predicting occurrence of errors during a Go/No-Go task from EEG signals using Support Vector MachineShota Yamane, Isao Nambu, Yasuhiro Wada
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Classification of Movement Direction From Electroencephalogram During Working Memory TimeNaoki Fukuda, Isao Nambu, Yasuhiro Wada
Journal of Neural Engineering|January 17, 2020
fNIRS-GANs: data augmentation using generative adversarial networks for classifying motor tasks from functional near-infrared spectroscopyTomoyuki Nagasawa, Takanori Sato, Isao Nambu, et al.
Computational Intelligence and Neuroscience|December 19, 2017
Convolutional Neural Networks with 3D Input for P300 Identification in Auditory Brain-Computer InterfacesEduardo Carabez, Miho Sugi, Isao Nambu, et al.
Frontiers in Human Neuroscience|July 7, 2018
Alpha Phase Synchronization of Parietal Areas Reflects Switch-Specific Activity During Mental Rotation: An EEG StudyHiroshi Yokoyama, Isao Nambu, Jun Izawa, et al.
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