Name
Abstract | ||
|---|---|---|
Current brain-machine-interface (BMI) rehabilitation approaches typically focus on a specific aspect of neural activity. Auxiliary signals, derived from independent measures of neural activity and recorded in parallel might be useful in quantifying and tracking a subjects mental state and performance. In this work, we demonstrate that event-related potentials can be reliably observed in stroke survivors with chronic paralysis during a BMI intervention. The averaged evoked response remains stable over sessions and varies between subjects. A prominent negativity, positivity complex emerges whose features can be tracked across subjects and sessions. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/NER.2019.8717027 | 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) |
Keywords | Field | DocType |
event-related potentials,BMI driven rehabilitation,current brain-machine-interface rehabilitation approaches,neural activity,auxiliary signals,independent measures,subjects mental state,BMI intervention | Rehabilitation,Computer science,Event-related potential,Human–computer interaction,Artificial intelligence,Machine learning | Conference |
ISSN | ISBN | Citations |
1948-3546 | 978-1-5386-7922-7 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Florian Helmhold | 1 | 0 | 0.68 |
| Andreas M. Ray | 2 | 0 | 1.69 |
| Eduardo López-Larraz | 3 | 7 | 6.05 |
| Ander Ramos-Murguialday | 4 | 25 | 9.02 |