Brain-computer interface (BCI) systems based on the steady-state visual evoked potential
(SSVEP) provide higher information throughput and require shorter training than BCI systems
using other brain signals. To elicit an SSVEP, a repetitive visual stimulus (RVS) has to be
presented to the user. The RVS can be rendered on a computer screen by alternating graphical
patterns, or with external light sources able to emit modulated light. The properties of an RVS
(e.g., frequency, color) depend on the rendering device and influence the SSVEP characteristics.
This affects the BCI information throughput and the levels of user safety and comfort. Literature
on SSVEP-based BCIs does not generally provide reasons for the selection of the used rendering
devices or RVS properties. In this paper, we review the literature on SSVEP-based BCIs and
comprehensively report on the different RVS choices in terms of rendering devices, properties,
and their potential influence on BCI performance, user safety and comfort.
The moderate epoch-by-epoch agreement and, in particular, the good agreement in terms of sleep statistics suggest that this technique is promising for long-term sleep monitoring, although more evidence is needed to understand whether it can complement PSG in clinical practice. It also offers an improvement in sleep/wake detection over actigraphy for healthy individuals, although this must be confirmed on a larger, clinical population.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.