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.
| Original language | English |
|---|---|
| Title of host publication | 9th International IEEE EMBS Conference on Neural Engineering, NER 2019 |
| Publisher | IEEE Computer Society |
| Pages | 114-117 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781538679210 |
| DOIs | |
| Publication status | Published - 16 May 2019 |
| Externally published | Yes |
| Event | 9th International IEEE EMBS Conference on Neural Engineering, NER 2019 - San Francisco, United States Duration: 20 Mar 2019 → 23 Mar 2019 |
Publication series
| Name | International IEEE/EMBS Conference on Neural Engineering, NER |
|---|---|
| Volume | 2019-March |
| ISSN (Print) | 1948-3546 |
| ISSN (Electronic) | 1948-3554 |
Conference
| Conference | 9th International IEEE EMBS Conference on Neural Engineering, NER 2019 |
|---|---|
| Country/Territory | United States |
| City | San Francisco |
| Period | 20/03/19 → 23/03/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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