Title :
Self-Paced Operation of an SSVEP-Based Orthosis With and Without an Imagery-Based “Brain Switch:” A Feasibility Study Towards a Hybrid BCI
Author :
Pfurtscheller, Gert ; Solis-Escalante, Teodoro ; Ortner, Rupert ; Linortner, Patricia ; Müller-Putz, Gernot R.
Author_Institution :
Inst. for Knowledge Discovery, Graz Univ. of Technol., Graz, Austria
Abstract :
This work introduces a hybrid brain-computer interface (BCI) composed of an imagery-based brain switch and a steady-state visual evoked potential (SSVEP)-based BCI. The brain switch (event related synchronization (ERS)-based BCI) was used to activate the four-step SSVEP-based orthosis (via gazing at a 8 Hz LED to open and gazing at a 13 Hz LED to close) only when needed for control, and to deactivate the LEDs during resting periods. Only two EEG channels were required, one over the motor cortex and one over the visual cortex. As a basis for comparison, the orthosis was also operated without using the brain switch. Six subjects participated in this study. This combination of two BCIs operated with different mental strategies is one example of a “hybrid” BCI and revealed a much lower rate of FPs per minute during resting periods or breaks compared to the SSVEP BCI alone ( FP = 1.46 ± 1.18 versus 5.40 ± 0.90). Four out of the six subjects succeeded in operating the self-paced hybrid BCI with a good performance (positive prediction value PPVb > 0.70).
Keywords :
brain-computer interfaces; electroencephalography; handicapped aids; neurophysiology; orthotics; visual evoked potentials; EEG channels; ERS-based BCI; SSVEP-based orthosis self-paced operation; event related synchronization; frequency 8 Hz to 13 Hz; gazing; hybrid brain-computer interface; imagery-based brain switch; mental strategy; motor cortex; resting periods; steady-state visual evoked potential; visual cortex; Brain–computer interface (BCI); brain switch; event-related desynchronization (ERD)-based BCI; hand orthosis control; hybrid BCI; motor imagery; steady-state visual evoked potential (SSVEP)-based BCI; Adult; Algorithms; Artificial Limbs; Brain; Cues; Data Interpretation, Statistical; Electroencephalography; Equipment Design; Evoked Potentials, Motor; Evoked Potentials, Visual; Feasibility Studies; Female; Hand; Humans; Imagination; Male; Motor Cortex; Orthotic Devices; Psychomotor Performance; User-Computer Interface; Visual Cortex; Young Adult;
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
DOI :
10.1109/TNSRE.2010.2040837