Abstract | ||
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An approach for brain-computer interfacing (BCI) by analysis of steady-state movement related potentials (ssMRPs) produced during rhythmic finger movements is proposed in this paper. The neurological background of ssMRPs is briefly reviewed. Averaged ssMRPs represent the development of a lateralized rhythmic potential, and the energy of the EEG signals at the finger tapping frequency can be used f... |
Year | DOI | Venue |
---|---|---|
2009 | 10.1109/TBME.2009.2021529 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Steady-state,Electroencephalography,Fingers,Brain,Digital signal processing,Psychology,Potential energy,Frequency,Testing,Linear discriminant analysis | Computer science,Brain–computer interface,Interfacing,Speech recognition,Feature extraction,Linear discriminant analysis,Novelty,Classifier (linguistics),Electroencephalography,Computation | Journal |
Volume | Issue | ISSN |
56 | 8 | 0018-9294 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kianoush Nazarpour | 1 | 75 | 19.08 |
Peter Praamstra | 2 | 27 | 5.06 |
R Christopher Miall | 3 | 1 | 0.72 |
Saeid Sanei | 4 | 530 | 72.63 |