Steady state visual evoked potential (SSVEP) based brain-computer interface (BCI) performance under different perturbations

• Published in: PloS one Vol. 13; no. 1; p. e0191673
• Main Authors: İşcan, Zafer, Nikulin, Vadim V.
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 01.01.2018; Public Library of Science (PLoS)
• Subjects: Bayesian analysis; Biology and Life Sciences; Brain; Brain research; Classification; Cognition & reasoning; Cognitive ability; Correlation analysis; Decision making; Earth Sciences; EEG; Electroencephalography; Engineering and Technology; Fourier transforms; Hemispheric laterality; Human-computer interface; Implants; K nearest neighbour classification tree analysis; K-nearest neighbors algorithm; Medical research; Medicine and Health Sciences; Noise; Physical Sciences; Research and Analysis Methods; Social Sciences; Steady state; Studies; Visual evoked potentials

Brain-computer interface (BCI) paradigms are usually tested when environmental and biological artifacts are intentionally avoided. In this study, we deliberately introduced different perturbations in order to test the robustness of a steady state visual evoked potential (SSVEP) based BCI. Specifical...