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Xiaokang Shu

Showing results (11-20 of 17) with videos related to

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Frontiers in Neuroscience|September 14, 2020
Longitudinal Electroencephalography Analysis in Subacute Stroke Patients During Intervention of Brain-Computer Interface With Exoskeleton FeedbackShugeng Chen, Lei Cao, Xiaokang Shu, et al.
Clinical EEG and Neuroscience|May 24, 2021
Relation Between Sensorimotor Rhythm During Motor Attempt/Imagery and Upper-Limb Motor Impairment in StrokeShugeng Chen, Xiaokang Shu, Jie Jia, et al.
Micromachines|December 24, 2021
State of the Art of Non-Invasive Electrode Materials for Brain-Computer InterfaceHaowen Yuan, Yao Li, Junjun Yang, et al.
Frontiers in Neuroscience|May 30, 2023
Functional-oriented, portable brain-computer interface training for hand motor recovery after stroke: a randomized controlled studyJianghong Fu, Shugeng Chen, Xiaokang Shu, et al.
IEEE Transactions on Bio-Medical Engineering|November 20, 2018
Tactile Stimulation Improves Sensorimotor Rhythm-based BCI Performance in Stroke PatientsXiaokang Shu, Shugeng Chen, Jianjun Meng, et al.
Frontiers in Neuroscience|March 9, 2018
Fast Recognition of BCI-Inefficient Users Using Physiological Features from EEG Signals: A Screening Study of Stroke PatientsXiaokang Shu, Shugeng Chen, Lin Yao, et al.
RSC Advances|October 30, 2024
A flexible, stable, semi-dry electrode with low impedance for electroencephalography recordingYiyan Zhu, Caicaike Bayin, Hongjie Li, et al.
Pageof 2

Showing results (11-20 of 17) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 17 results.
Frontiers in Neuroscience|September 14, 2020
Longitudinal Electroencephalography Analysis in Subacute Stroke Patients During Intervention of Brain-Computer Interface With Exoskeleton FeedbackShugeng Chen, Lei Cao, Xiaokang Shu, et al.
Clinical EEG and Neuroscience|May 24, 2021
Relation Between Sensorimotor Rhythm During Motor Attempt/Imagery and Upper-Limb Motor Impairment in StrokeShugeng Chen, Xiaokang Shu, Jie Jia, et al.
Micromachines|December 24, 2021
State of the Art of Non-Invasive Electrode Materials for Brain-Computer InterfaceHaowen Yuan, Yao Li, Junjun Yang, et al.
Frontiers in Neuroscience|May 30, 2023
Functional-oriented, portable brain-computer interface training for hand motor recovery after stroke: a randomized controlled studyJianghong Fu, Shugeng Chen, Xiaokang Shu, et al.
IEEE Transactions on Bio-Medical Engineering|November 20, 2018
Tactile Stimulation Improves Sensorimotor Rhythm-based BCI Performance in Stroke PatientsXiaokang Shu, Shugeng Chen, Jianjun Meng, et al.
Frontiers in Neuroscience|March 9, 2018
Fast Recognition of BCI-Inefficient Users Using Physiological Features from EEG Signals: A Screening Study of Stroke PatientsXiaokang Shu, Shugeng Chen, Lin Yao, et al.
RSC Advances|October 30, 2024
A flexible, stable, semi-dry electrode with low impedance for electroencephalography recordingYiyan Zhu, Caicaike Bayin, Hongjie Li, et al.
Pageof 2