Abstract
In this study we show how healthy subjects are able to use a non-invasive Motor Imagery (MI)-based Brain Computer Interface (BCI) to achieve linear control of an upper-limb neuromuscular electrical stimulation (NMES) controlled neuroprosthesis in a simple binary target selection task. Linear BCI control can be achieved if two motor imagery classes can be discriminated with a reliability over 80% in single trial. The results presented in this work show that there was no significant loss of performance using the neuroproshesis in comparison to MI where no stimulation was present. However, it is remarkable how different the experience of the users was in the same experiment. The stimulation either provoked a positive reinforcement feedback, or prevented the user from concentrating in the task.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
| Pages | 3269-3273 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2012 Dec 14 |
| Event | 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, United States Duration: 2012 Aug 28 → 2012 Sep 1 |
Other
| Other | 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 |
|---|---|
| Country | United States |
| City | San Diego, CA |
| Period | 12/8/28 → 12/9/1 |
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ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Signal Processing
- Biomedical Engineering
- Health Informatics
Cite this
First study towards linear control of an upper-limb neuroprosthesis with an EEG-based Brain-Computer Interface. / Pascual, Javier; Velasco-Alvarez, Francisco; Muller, Klaus; Vidaurre, Carmen.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2012. p. 3269-3273 6346663.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - First study towards linear control of an upper-limb neuroprosthesis with an EEG-based Brain-Computer Interface
AU - Pascual, Javier
AU - Velasco-Alvarez, Francisco
AU - Muller, Klaus
AU - Vidaurre, Carmen
PY - 2012/12/14
Y1 - 2012/12/14
N2 - In this study we show how healthy subjects are able to use a non-invasive Motor Imagery (MI)-based Brain Computer Interface (BCI) to achieve linear control of an upper-limb neuromuscular electrical stimulation (NMES) controlled neuroprosthesis in a simple binary target selection task. Linear BCI control can be achieved if two motor imagery classes can be discriminated with a reliability over 80% in single trial. The results presented in this work show that there was no significant loss of performance using the neuroproshesis in comparison to MI where no stimulation was present. However, it is remarkable how different the experience of the users was in the same experiment. The stimulation either provoked a positive reinforcement feedback, or prevented the user from concentrating in the task.
AB - In this study we show how healthy subjects are able to use a non-invasive Motor Imagery (MI)-based Brain Computer Interface (BCI) to achieve linear control of an upper-limb neuromuscular electrical stimulation (NMES) controlled neuroprosthesis in a simple binary target selection task. Linear BCI control can be achieved if two motor imagery classes can be discriminated with a reliability over 80% in single trial. The results presented in this work show that there was no significant loss of performance using the neuroproshesis in comparison to MI where no stimulation was present. However, it is remarkable how different the experience of the users was in the same experiment. The stimulation either provoked a positive reinforcement feedback, or prevented the user from concentrating in the task.
UR - http://www.scopus.com/inward/record.url?scp=84870798318&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84870798318&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2012.6346663
DO - 10.1109/EMBC.2012.6346663
M3 - Conference contribution
C2 - 23366624
AN - SCOPUS:84870798318
SN - 9781424441198
SP - 3269
EP - 3273
BT - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ER -