Multiclass Steady-State Visual Evoked Potential Frequency Evaluation Using Chirp-Modulated Stimuli

• Published in: IEEE transactions on human-machine systems Vol. 46; no. 4; pp. 593 - 600
• Main Authors: Waytowich, Nicholas R., Krusienski, Dean J.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.08.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Arrays; Brain–computer interfaces (BCIs); canonical correlation analysis (CCA); Chirp; Correlation; Electroencephalography; Evoked potentials; feature selection; genetic algorithms (GAs); Human-computer interface; Light emitting diodes; Optimization; Oscillations; steady-state visual evoked potentials (SSVEPs); Stimulation; Time-frequency analysis; Visual; Visualization

Steady-state visual evoked potentials (SSVEPs) are oscillations of the electroencephalogram (EEG) which are mainly observed over the occipital area that exhibits a frequency corresponding to a repetitively flashing visual stimulus. SSVEPs have proven to be very consistent and reliable signals for ra...