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EEG Headset Evaluation for Detection of Single-Trial Movement Intention for Brain-Computer Interfaces
| Content Provider | MDPI |
|---|---|
| Author | Jochumsen, Mads Knoche, Hendrik Kjaer, Troels Wesenberg Dinesen, Birthe Kidmose, Preben |
| Copyright Year | 2020 |
| Description | 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. |
| Starting Page | 2804 |
| e-ISSN | 14248220 |
| DOI | 10.3390/s20102804 |
| Journal | Sensors |
| Issue Number | 10 |
| Volume Number | 20 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2020-05-14 |
| Access Restriction | Open |
| Subject Keyword | Sensors Ergonomics Movement Intention Brain–computer Interface Movement-related Cortical Potential Neurorehabilitation |
| Content Type | Text |
| Resource Type | Article |
