Comparison of Feature Vector Compositions to Enhance the Performance of NIRS-BCI-Triggered Robotic Hand Orthosis for Post-Stroke Motor Recovery

Comparison of Feature Vector Compositions to Enhance the Performance of NIRS-BCI-Triggered Robotic Hand Orthosis for Post-Stroke Motor Recovery

Recently, brain−computer interfaces, combined with feedback systems and goal-oriented training, have been investigated for their capacity to promote functional recovery after stroke. Accordingly, we developed a brain−computer interface-triggered robotic hand orthosis that assists...

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Bibliographic Details
Main Authors: Jongseung Lee, Nobutaka Mukae, Jumpei Arata, Koji Iihara, Makoto Hashizume
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Applied Sciences
Subjects:
brain–computer interfaces
near-infrared spectroscopy (NIRS)
neurorehabilitation
post-stroke motor recovery
hand motor recovery
rehabilitation robotics
robotic orthotics
Online Access:https://www.mdpi.com/2076-3417/9/18/3845

Internet

https://www.mdpi.com/2076-3417/9/18/3845

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