ArticleScientific reports2022
Improving user experience of SSVEP BCI through low amplitude depth and high frequency stimuli design.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 74 citations in OpenAlex.
- Rewiring Attention: Virtual Reality and Brain-Computer Interfaces in the Rehabilitation of Unilateral Spatial Neglect.Journal of clinical medicine · 2026Review
- Optimization of stimulus color for peripheral SSVEP-based brain-computer interfaces.Frontiers in human neuroscience · 2026Article
- Text Sequence Stimulation for High-Speed and Comfortable SSVEP-BCI.Cyborg and bionic systems (Washington, D.C.) · 2026Article
- Article
- Predicting spiking activity from scalp EEG.Journal of neural engineering · 2025Article
- Intersession Robust Hybrid Brain-Computer Interface: Safe and User-Friendly Approach with LED Activation Mechanism.Micromachines · 2025Article
- Covert attention modulates the SSVEP in a paradigm suitable for infants and young children.Attention, perception & psychophysics · 2025Article
- An investigation into the comfort and neural response of textured visual stimuli in pediatric SSVEP-based BCI.Scientific reports · 2025Article
- Article
- A Safe and Efficient Brain-Computer Interface Using Moving Object Trajectories and LED-Controlled Activation.Micromachines · 2025Article
- Dual-Mode Visual System for Brain-Computer Interfaces: Integrating SSVEP and P300 Responses.Sensors (Basel, Switzerland) · 2025Article
- An open dataset for human SSVEPs in the frequency range of 1-60 Hz.Scientific data · 2024Article
- Brain-computer interface in critical care and rehabilitation.Acute and critical care · 2024Article
- Frequency tagging of spatial attention using periliminal flickers.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Advancements in brain-computer interfaces for the rehabilitation of unilateral spatial neglect: a concise review.Frontiers in neuroscience · 2024Review
- Optimization of stimulus properties for SSVEP-based BMI system with a heads-up display to control in-vehicle features.PloS one · 2024Article
- Influence of spatial frequency in visual stimuli for cVEP-based BCIs: evaluation of performance and user experience.Frontiers in human neuroscience · 2023Article
- Combining brain-computer interfaces and multiplayer video games: an application based on c-VEPs.Frontiers in human neuroscience · 2023Article
- A wearable group-synchronized EEG system for multi-subject brain-computer interfaces.Frontiers in neuroscience · 2023Article
- Improving user experience of SSVEP BCI through low amplitude depth and high frequency stimuli design.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Steady-States Visually Evoked Potentials (SSVEP) refer to the sustained rhythmic activity observed in surface electroencephalography (EEG) in response to the presentation of repetitive visual stimuli (RVS). Due to their robustness and rapid onset, SSVEP have been widely used in Brain Computer Interfaces (BCI). However, typical SSVEP stimuli are straining to the eyes and present risks of triggering epileptic seizures. Reducing visual stimuli contrast or extending their frequency range both appear as relevant solutions to address these issues. It however remains sparsely documented how BCI performance is impacted by these features and to which extent user experience can be improved. We conducted two studies to systematically characterize the effects of frequency and amplitude depth reduction on SSVEP response. The results revealed that although high frequency stimuli improve visual comfort, their classification performance were not competitive enough to design a reliable/responsive BCI. Importantly, we found that the amplitude depth reduction of low frequency RVS is an effective solution to improve user experience while maintaining high classification performance. These findings were further validated by an online T9 SSVEP-BCI in which stimuli with 40% amplitude depth reduction achieved comparable results (>90% accuracy) to full amplitude stimuli while significantly improving user experience.
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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.