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Isao Nambu

Showing results (1-10 of 33) with videos related to

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Frontiers in Human Neuroscience|February 12, 2026
Electroencephalography signatures of motor error and stimulus-driven attention in electrical muscle stimulation-induced wrist movements under motor imageryKento Suemitsu, Isao Nambu
Frontiers in Human Neuroscience|February 12, 2025
Error-related potentials during multitasking involving sensorimotor control: an ERP and offline decoding study for brain-computer interfaceMasaki Yasuhara, Isao Nambu
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
Brain Sciences|January 27, 2021
Forward Inverse Relaxation Model Incorporating Movement Duration OptimizationMisaki Takeda, Isao Nambu, Yasuhiro Wada
Neuroimage|August 31, 2018
Cortical activation associated with motor preparation can be used to predict the freely chosen effector of an upcoming movement and reflects response time: An fMRI decoding studySatoshi Hirose, Isao Nambu, Eiichi Naito
Journal of Neuroscience Methods|December 3, 2014
An empirical solution for over-pruning with a novel ensemble-learning method for fMRI decodingSatoshi Hirose, Isao Nambu, Eiichi Naito
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
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.
Pageof 4

Showing results (1-10 of 33) with videos related to

Sort By:
Pageof 4
Frontiers in Human Neuroscience|February 12, 2026
Electroencephalography signatures of motor error and stimulus-driven attention in electrical muscle stimulation-induced wrist movements under motor imageryKento Suemitsu, Isao Nambu
Frontiers in Human Neuroscience|February 12, 2025
Error-related potentials during multitasking involving sensorimotor control: an ERP and offline decoding study for brain-computer interfaceMasaki Yasuhara, Isao Nambu
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
Brain Sciences|January 27, 2021
Forward Inverse Relaxation Model Incorporating Movement Duration OptimizationMisaki Takeda, Isao Nambu, Yasuhiro Wada
Neuroimage|August 31, 2018
Cortical activation associated with motor preparation can be used to predict the freely chosen effector of an upcoming movement and reflects response time: An fMRI decoding studySatoshi Hirose, Isao Nambu, Eiichi Naito
Journal of Neuroscience Methods|December 3, 2014
An empirical solution for over-pruning with a novel ensemble-learning method for fMRI decodingSatoshi Hirose, Isao Nambu, Eiichi Naito
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
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.
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