title: Combining ERD and ERS features to create a system-paced BCI.
abstract: An important factor in the usability of a brain-computer interface (BCI) is the setup and calibration time required for the interface to perform accurately. Recently, brain-switches based on the beta rebound following motor imagery of a single limb effector have been investigated as basic BCIs due to their good performance with limited electrodes, and brief training session requirements. Here, a BCI is proposed which expands the methodology of brain-switches to design an interface composed of multiple brain-controlled buttons. The algorithm is designed as a system paced interface which can recognise 2 intentional-control tasks and a no-control state based on the activity during and following motor imagery in only 3 electroencephalogram channels. An online experiment was performed over 6 subjects to validate the algorithm, and the results show that a working BCI can be trained from a single calibration session and that the post motor imagery features are both informative and robust over multiple sessions.
authors.affiliation: Equipe Athena, INRIA, 2004 Route des Lucioles, 06902 Sophia Antipolis, France. eoin.thomas@inria.fr
authors.forename: Eoin
authors.initials: E
authors.lastname: Thomas
authors.forename: Joan
authors.initials: J
authors.lastname: Fruitet
authors.forename: Maureen
authors.initials: M
authors.lastname: Clerc
mesh_terms: D000465:Algorithms; D001921:Brain / Q000502:physiology*; D062207:Brain-Computer Interfaces; D003344:Cortical Synchronization / Q000502:physiology*; D006801:Humans; D007092:Imagination / Q000502:physiology; D012815:Signal Processing, Computer-Assisted