Abstract
Motor rehabilitation after stroke injury is highly important since the number of people suffering this disease is constantly increasing. Brain-Computer Interfaces (BCIs) have been recently used in the recovery of motor functions: in particular, the closed loop involving sensorimotor brain rhythms, assist-ive-robot training and proprioceptive feedback in an operant learning fashion might be potentially one of the most effective ways to promote the neural plasticity of the ipsilesional brain hemisphere and to restore motor abilities. This study aimed at implementing such a scheme: one chronic stroke patient was recruited and underwent the experiment using both the damaged and the healthy arm, considered as control during the following analysis. Kinematic and neurophysiological outcomes confirmed the efficacy of this treatment and supported the hypothesis that a contingent force feedback can improve motor functions of the upper limb.
| Original language | English |
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| Title of host publication | IEEE International Conference on Communications |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 4379-4383 |
| Number of pages | 5 |
| ISBN (Print) | 9781467331227 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | 2013 IEEE International Conference on Communications, ICC 2013 - Budapest, Hungary Duration: Jun 9 2013 → Jun 13 2013 |
Other
| Other | 2013 IEEE International Conference on Communications, ICC 2013 |
|---|---|
| Country/Territory | Hungary |
| City | Budapest |
| Period | 6/9/13 → 6/13/13 |
Keywords
- brain-computer interface
- motor rehabilitation
- neuroplasticity
- proprioceptive contingent force feedback
- sensorimotor closed-loop
- sensorimotor rhythms
- stroke
- upper limb
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Networks and Communications