ArticleSensors (Basel, Switzerland)2018
Evaluating the Influence of Chromatic and Luminance Stimuli on SSVEPs from Behind-the-Ears and Occipital Areas.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 48 citations in OpenAlex.
- On the Feasibility of Using an Ear-EEG to Develop an Endogenous Brain-Computer Interface.Sensors (Basel, Switzerland) · 2018Trial
- Leveraging Cross-Subject Transfer Learning and Signal Augmentation for Enhanced RGB Color Decoding from EEG Data.Brain sciences · 2026Article
- Text Sequence Stimulation for High-Speed and Comfortable SSVEP-BCI.Cyborg and bionic systems (Washington, D.C.) · 2026Article
- Comparative Study of Frequency Recognition Techniques for Steady-State Visual Evoked Potentials According to the Frequency Harmonics and Stimulus Number.Journal of biomedical physics & engineering · 2024Article
- A review on the performance of brain-computer interface systems used for patients with locked-in and completely locked-in syndrome.Cognitive neurodynamics · 2024Review
- Brain stimulation with 40 Hz heterochromatic flicker extended beyond red, green, and blue.Scientific reports · 2024Article
- In-Car Environment Control Using an SSVEP-Based Brain-Computer Interface with Visual Stimuli Presented on Head-Up Display: Performance Comparison with a Button-Press Interface.Sensors (Basel, Switzerland) · 2024Article
- Optimization of stimulus properties for SSVEP-based BMI system with a heads-up display to control in-vehicle features.PloS one · 2024Article
- An Adaptive Task-Related Component Analysis Method for SSVEP Recognition.Sensors (Basel, Switzerland) · 2022Article
- Stockwell transform and semi-supervised feature selection from deep features for classification of BCI signals.Scientific reports · 2022Article
- Cross-Platform Implementation of an SSVEP-Based BCI for the Control of a 6-DOF Robotic Arm.Sensors (Basel, Switzerland) · 2022Article
- Evaluation of Real-Time Endogenous Brain-Computer Interface Developed Using Ear-Electroencephalography.Frontiers in neuroscience · 2022Article
- Solving the SSVEP Paradigm Using the Nonlinear Canonical Correlation Analysis Approach.Sensors (Basel, Switzerland) · 2021Article
- Estimation of Emotional Arousal Changes of a Group of Individuals During Movie Screening Using Steady-State Visual-Evoked Potential.Frontiers in neuroinformatics · 2021Article
- Evaluating the Effect of Stimuli Color and Frequency on SSVEP.Sensors (Basel, Switzerland) · 2020Article
- A Hybrid Speller Design Using Eye Tracking and SSVEP Brain-Computer Interface.Sensors (Basel, Switzerland) · 2020Article
- A Hybrid BCI Based on SSVEP and EOG for Robotic Arm Control.Frontiers in neurorobotics · 2020Article
- A BCI Gaze Sensing Method Using Low Jitter Code Modulated VEP.Sensors (Basel, Switzerland) · 2019Article
- Effects of Different Re-referencing Methods on Spontaneously Generated Ear-EEG.Frontiers in neuroscience · 2019Article
- Characterization of the non-stationary nature of steady-state visual evoked potentials using echo state networks.PloS one · 2019Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This work presents a study of chromatic and luminance stimuli in low-, medium-, and high-frequency stimulation to evoke steady-state visual evoked potential (SSVEP) in the behind-the-ears area. Twelve healthy subjects participated in this study. The electroencephalogram (EEG) was measured on occipital (Oz) and left and right temporal (TP9 and TP10) areas. The SSVEP was evaluated in terms of amplitude, signal-to-noise ratio (SNR), and detection accuracy using power spectral density analysis (PSDA), canonical correlation analysis (CCA), and temporally local multivariate synchronization index (TMSI) methods. It was found that stimuli based on suitable color and luminance elicited stronger SSVEP in the behind-the-ears area, and that the response of the SSVEP was related to the flickering frequency and the color of the stimuli. Thus, green-red stimulus elicited the highest SSVEP in medium-frequency range, and green-blue stimulus elicited the highest SSVEP in high-frequency range, reaching detection accuracy rates higher than 80%. These findings will aid in the development of more comfortable, accurate and stable BCIs with electrodes positioned on the behind-the-ears (hairless) areas.
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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.