Name
Title | ||
|---|---|---|
EEG Headset Evaluation for Detection of Single-Trial Movement Intention for Brain-Computer Interfaces. |
Abstract | ||
|---|---|---|
Brain-computer interfaces (BCIs) can be used in neurorehabilitation; however, the literature about transferring the technology to rehabilitation clinics is limited. A key component of a BCI is the headset, for which several options are available. The aim of this study was to test four commercially available headsets' ability to record and classify movement intentions (movement-related cortical potentials-MRCPs). Twelve healthy participants performed 100 movements, while continuous EEG was recorded from the headsets on two different days to establish the reliability of the measures: classification accuracies of single-trials, number of rejected epochs, and signal-to-noise ratio. MRCPs could be recorded with the headsets covering the motor cortex, and they obtained the best classification accuracies (73%-77%). The reliability was moderate to good for the best headset (a gel-based headset covering the motor cortex). The results demonstrate that, among the evaluated headsets, reliable recordings of MRCPs require channels located close to the motor cortex and potentially a gel-based headset. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.3390/s20102804 | SENSORS |
Keywords | DocType | Volume |
movement intention,brain-computer interface,movement-related cortical potential,neurorehabilitation | Journal | 20 |
Issue | ISSN | Citations |
10 | 1424-8220 | 2 |
PageRank | References | Authors |
0.43 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mads Jochumsen | 1 | 43 | 9.96 |
| Hendrik Knoche | 2 | 2 | 0.77 |
| Troels Wesenberg Kjaer | 3 | 2 | 0.43 |
| Birthe Dinesen | 4 | 17 | 5.07 |
| Preben Kidmose | 5 | 36 | 11.27 |