Abstract
Arm movements have already been decoded non-invasively from electroencephalography (EEG) signals. In this study we analyzed whether the target or the movement direction of the arm can be decoded from the EEG. Ten healthy subjects executed right arm movements to one out of two targets and simultaneously received feedback on a computer screen. We then inverted the feedback movements to analyze if the EEG carries information about the target or about the movement direction. We found two groups, one encoding the target and one encoding first the movement direction followed by the target. These findings are relevant for the development of future motor neuroprostheses and non-invasive robotic arm control.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 |
| Publisher | Verlag der Technischen Universität Graz |
| Pages | 344-348 |
| Number of pages | 5 |
| ISBN (Electronic) | 978-3-85125-533-1 |
| Publication status | Published - 18 Sept 2017 |
| Event | 7th Graz BCI Conference 2017: From Vision to Reality - Graz, Austria Duration: 18 Sept 2017 → 22 Sept 2017 |
Conference
| Conference | 7th Graz BCI Conference 2017 |
|---|---|
| Country/Territory | Austria |
| City | Graz |
| Period | 18/09/17 → 22/09/17 |
Fields of Expertise
- Human- & Biotechnology
Treatment code (Nähere Zuordnung)
- Basic - Fundamental (Grundlagenforschung)