ArticleScientific data2024
An open dataset for human SSVEPs in the frequency range of 1-60 Hz.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Dataset Fragmentation, Cognitive Variability, and Reproducibility Challenges in EEG-Based Brain-Computer Interfaces: A PRISMA-Based Systematic Review.Sensors (Basel, Switzerland) · 2026Pooled it
- Full-Stack Architectures for Intelligent Brain-Computer Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- A visual imagery paradigm for BCI strategies using imagined flickering patterns.Scientific reports · 2026Article
- Design and Validation of a Brain-Controlled Hip Exoskeleton for Assisted Gait Rehabilitation Training.Micromachines · 2025Article
- Frequency-dependent photic modulation of wakeful consolidation in visual learning.Nature communications · 2025Article
- Covert attention modulates the SSVEP in a paradigm suitable for infants and young children.Attention, perception & psychophysics · 2025Article
- Electroencephalography Alpha Traveling Waves as Early Predictors of Treatment Response in Major Depressive Episodes: Insights from Intermittent Photic Stimulation.Biomedicines · 2025Article
- Enhancing visual brain-computer interface through V1-targeted RTMS by modulating visual attention.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Article
- Frequency-dependent dynamics of steady-state visual evoked potentials under sustained flicker stimulation.Scientific reports · 2024Article
- Optimization of stimulus properties for SSVEP-based BMI system with a heads-up display to control in-vehicle features.PloS one · 2024Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
A steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) system relies on the photic driving response to effectively elicit characteristic electroencephalogram (EEG) signals. However, traditional visual stimuli mainly adopt high-contrast black-and-white flickering stimulations, which are easy to cause visual fatigue. This paper presents an SSVEP dataset acquired at a wide frequency range from 1 to 60 Hz with an interval of 1 Hz using flickering stimuli under two different modulation depths. This dataset contains 64-channel EEG data from 30 healthy subjects when they fixated on a single flickering stimulus. The stimulus was rendered on an LCD display with a refresh rate of 240 Hz. Initially, the dataset was rigorously validated through comprehensive data analysis to investigate SSVEP responses and user experiences. Subsequently, BCI performance was evaluated through offline simulations of frequency-coded and phase-coded BCI paradigms. This dataset provides comprehensive and high-quality data for studying and developing SSVEP-based BCI systems.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.