RT dataset
T1 Dataset: Influence of spatial frequency in visual stimuli for cVEP-based BCIs: evaluation of performance and user experience
A1 Martínez Cagigal, Víctor
A2 Universidad de Valladolid. Grupo de Ingeniería Biomédica
K1 Neurotechnology
K1 Biomedical Engineering
K1 Artificial intelligence
K1 Computer science
K1 Neuroscience
K1 Brain–computer interface (BCI)
K1 Code-modulated visual evoked potential (c-VEP)
K1 Electroencephalography (EEG)
K1 Visual fatigue
K1 Spatial Frequency
K1 2490 Neurociencias
K1 1203.04 Inteligencia Artificial
AB Code-modulated visual evoked potentials (c-VEPs) are an innovative control signal utilized in brain-computer interfaces (BCIs) with promising performance. Prior studies on steady-state visual evoked potentials (SSVEPs) have indicated that the spatial frequency of checkerboard-like stimuli influences both performance and user experience. Spatial frequency refers to the dimensions of the individual squares comprising the visual stimulus, quantified in cycles (i.e., number of black-white squares pairs) per degree of visual angle. However, the specific effects of this parameter on c-VEP-based BCIs remained unexplored. In this dataset, a total of 16 healthy participants engaged in BCI spelling tasks using eight different conditions with varying spatial frequencies: C001 (0 c/°, 1×1 squares), C002 (0.15 c/°, 2×2 squares), C004 (0.3 c/°, 4×4 squares), C008 (0.6 c/°, 8×8 squares), C016 (1.2 c/°, 16×16 squares), C032 (2.4 c/°, 32×32 squares), C064 (4.79 c/°, 64×64 squares), and C128 (9.58 c/°, 128×128 squares). The system employed a binary m-sequence of 63 bits displayed at a 120 Hz rate using a black-background checkerboard (BB-CB) pattern; i.e. event “1” wasencoded with a checkerboard pattern and “0” with a black flash. Each participant completed a single session that included a calibration phase consisting of 240 cycles (repetitions of the m-sequence), followed by an online spelling task of 18 trials (with 8 cycles per trial) for each condition. Online selections were made using a 3x3 command matrix (chance level of 11.11%).
YR 2023
FD 2023
LK https://uvadoc.uva.es/handle/10324/70973
UL https://uvadoc.uva.es/handle/10324/70973
LA spa
NO Fernández-Rodríguez, Á., Martínez-Cagigal, V., Santamaría-Vázquez, E., Ron-Angevin, R., & Hornero, R. (2023). Influence of spatial frequency in visual stimuli for cVEP-based BCIs: evaluation of performance and user experience. Frontiers in Human Neuroscience, 17, 1288438.
NO Grupo de Ingeniería Biomédica
DS UVaDOC
RD 21-nov-2024