Name
Abstract | ||
|---|---|---|
Neurological conditions, such as stroke, can leave the affected individual with hand motor impairment despite intensive treatments. Novel technologies, such as brain-computer interface (BCI), may be able to restore or augment impaired motor behaviors by engaging relevant cortical areas. Here, we developed and tested an electroencephalogram (EEG) based BCI system for control of hand orthosis. An able-bodied subject performed contralateral hand grasping to achieve continuous online control of the hand orthosis, suggesting that the integration of a noninvasive BCI with a hand orthosis is feasible. The adoption of this technology to stroke survivors may provide a novel neurorehabilitation therapy for hand motor impairment in this population. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IEMBS.2011.6091432 | 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Keywords | Field | DocType |
neurophysiology,brain computer interface,electroencephalography,feature extraction,real time systems,brain computer interfaces | Hand orthosis,Population,Neurophysiology,Computer science,Brain–computer interface,Stroke,Neurorehabilitation,Physical medicine and rehabilitation,Orthotics,Electroencephalography | Conference |
Volume | ISSN | Citations |
2011 | 1557-170X | 4 |
PageRank | References | Authors |
0.79 | 4 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christine E King | 1 | 26 | 5.62 |
| Po T Wang | 2 | 10 | 2.40 |
| Mizuta Masato | 3 | 21 | 1.87 |
| David J Reinkensmeyer | 4 | 25 | 7.15 |
| An H. Do | 5 | 32 | 11.35 |
| Moromugi Shunji | 6 | 4 | 0.79 |
| Zoran Nenadic | 7 | 21 | 3.92 |