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Author/Affiliation: Maryam ButtOpen AccessArticle
8 Pages, 908 KB 
Investigating The Detection of Intention Signal During Different Exercise Protocols in Robot-Assisted Hand Movement of Stroke Patients and Healthy Subjects Using EEG-BCI System
Abstract:
Improving the hand motor skills in post-stroke patients through rehabilitation based on movement intention derived signals from the brain in conjunction with robot-assistive technologies are explored. The experimental work is conducted using Electroencephalogram based Brain-Computer Interface (EEG-BCI) system and the AMADEO hand rehabilitation robotic device. Two protocols using visual-cues and then using a 2-Dimensional (2D)…
Read More(This article belongs to the SP7 (Special Issue on Advancement in Engineering and Computer Science 2019) & Section Biomedical Engineering (EBI))