title: Steady-state movement related potentials for brain computer interfacing.
abstract: An approach for brain computer interfacing (BCI) by analysis of the steady-state movement related potentials (ssMRP) is proposed in this paper. The neurological background of the ssMRPs which are primarily studied by means of the averaged electroencephalogram (EEG) signals are briefly reviewed. A simple feature extraction method is suggested for single trial ssMRP processing. The proposed BCI paradigm is tested by using the Fishers linear discriminant (FLD) classifier. The novelty of this approach is mainly in the application of rhythmic cues for BCI, simple recording setup, and straightforward computations which make the real-time implementations plausible.
authors.affiliation: Behavioural Brain Sciences Centre, School of Psychology, The University of Birmingham, B152TT, UK. K.Nazarpour@bham.ac.uk
authors.forename: Kianoush
authors.initials: K
authors.lastname: Nazarpour
authors.forename: Peter
authors.initials: P
authors.lastname: Praamstra
authors.forename: R
authors.initials: R
authors.lastname: Miall
authors.forename: Saeid
authors.initials: S
authors.lastname: Sanei
mesh_terms: D000465:Algorithms; D004569:Electroencephalography / Q000379:methods*; D019054:Evoked Potentials, Motor / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D009044:Motor Cortex / Q000502:physiology*; D009068:Movement / Q000502:physiology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D014584:User-Computer Interface