Data from: Investigating the impact of feedback update interval on the efficacy of restorative brain–computer interfaces

Sam Darvishi, Michael C. Ridding, Brenton Hordacre, Derek Abbott & Mathias Baumert
Restorative brain–computer interfaces (BCIs) have been proposed to enhance stroke rehabilitation. Restorative BCIs are able to close the sensorimotor loop by rewarding motor imagery (MI) with sensory feedback. Despite the promising results from early studies, reaching clinically significant outcomes in a timely fashion is yet to be achieved. This lack of efficacy may be due to suboptimal feedback provision. To the best of our knowledge, the optimal feedback update interval (FUI) during MI remains unexplored....
1 citation reported since publication in 2017.
152 views reported since publication in 2017.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?
19 downloads reported since publication in 2017.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?