Resquin, F;
Ibañez, J;
Gonzalez-Vargas, J;
Brunetti, F;
Dimbwadyo, I;
Alves, S;
Carrasco, L;
... Pons, JL; + view all
(2016)
Combining a hybrid robotic system with a bain-machine interface for the rehabilitation of reaching movements: A case study with a stroke patient.
In:
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
(pp. pp. 6381-6384).
IEEE: Orlando, FL, USA.
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Abstract
Reaching and grasping are two of the most affected functions after stroke. Hybrid rehabilitation systems combining Functional Electrical Stimulation with Robotic devices have been proposed in the literature to improve rehabilitation outcomes. In this work, we present the combined use of a hybrid robotic system with an EEG-based Brain-Machine Interface to detect the user's movement intentions to trigger the assistance. The platform has been tested in a single session with a stroke patient. The results show how the patient could successfully interact with the BMI and command the assistance of the hybrid system with low latencies. Also, the Feedback Error Learning controller implemented in this system could adjust the required FES intensity to perform the task.
| Type: | Proceedings paper |
|---|---|
| Title: | Combining a hybrid robotic system with a bain-machine interface for the rehabilitation of reaching movements: A case study with a stroke patient |
| Event: | 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
| Location: | United States |
| ISBN-13: | 978-1-4577-0220-4 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/EMBC.2016.7592188 |
| Publisher version: | http://dx.doi.org/10.1109/EMBC.2016.7592188 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Aged, Brain-Computer Interfaces, Exoskeleton Device, Feedback, Hand Strength, Humans, Learning, Male, Movement, Robotics, Rotation, Stroke, Stroke Rehabilitation |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Clinical and Movement Neurosciences |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10025150 |
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