Development and Testing of Non-Invasive BCI + FES/Robot Sys- tem For Use in Motor Re-Learning After Stroke

and tested a brain computer interface (BCI) system for use by stroke survivors for upper limb mo- tor learning. A non-invasive BCI system was interfaced with a robot for shoulder/elbow movement training or an FES surface stimulator for wrist/hand training. Two healthy adults and five chronic stroke survivors were tested using the BCI + device system for motor learning feasibility. Measures were accuracy of brain signal control during imposed motor tasks: either shoulder/elbow or wrist/hand tasks that were 1) imagined or 2) attempted, as well as 3) imposed relaxation of muscles. Initial session accuracy for each condition was generated. Results showed that initial session accuracy was high for imagined and attempted tasks. Subjects had less accuracy with the relaxation task than with the imagined or attempted movement tasks. The brain signal accuracy was high enough to indicate the feasibility of using the BCI + FES/Robot for the purpose of motor learning. Published: Pro- ceedings of the 13 th Annual Conference of the International Functional Electrical Stimulation Society "From Movement to Mind", 53 (Sept/2008; Freiburg, Germany); pp.200-202, Supplement 1, ISSN 0939-4990.