Cargando…

Comparing Steady-State Visually Evoked Potentials Frequency Estimation Methods in Brain-Computer Interface With the Minimum Number of EEG Channels

INTRODUCTION: Brain-Computer Interface (BCI) systems provide a communication pathway between users and systems. BCI systems based on Steady-State Visually Evoked Potentials (SSVEP) are widely used in recent decades. Different feature extraction methods have been introduced in the literature to estim...

Descripción completa

Detalles Bibliográficos
Autores principales:	Neghabi, Mehrnoosh, Marateb, Hamid Reza, Mahnam, Amin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Iranian Neuroscience Society 2019
Materias:	Research Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712635/ https://www.ncbi.nlm.nih.gov/pubmed/31462979 http://dx.doi.org/10.32598/bcn.9.10.200

Ejemplares similares

An Efficient Asynchronous High-Frequency Steady-State Visual Evoked Potential-Based Brain-Computer Interface speller: The Problem of Individual Differences
por: Ajami, Saba, et al.
Publicado: (2018)

EEG data collection using visual evoked, steady state visual evoked and motor image task, designed to brain computer interfaces (BCI) development
por: Fernandez-Fraga, S.M., et al.
Publicado: (2019)

Frequency set selection for multi-frequency steady-state visual evoked potential-based brain-computer interfaces
por: Mu, Jing, et al.
Publicado: (2022)

Objective evaluation of fatigue by EEG spectral analysis in steady-state visual evoked potential-based brain-computer interfaces
por: Cao, Teng, et al.
Publicado: (2014)

Influence of the Number of Channels and Classification Algorithm on the Performance Robustness to Electrode Shift in Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces
por: Kim, Hodam, et al.
Publicado: (2021)

Optimal Approach for Signal Detection in Steady-State Visual Evoked Potentials in Humans Using Single-Channel EEG and Stereoscopic Stimuli
por: Derzsi, Zoltan
Publicado: (2021)

Interaction between steady-state visually evoked potentials at nearby flicker frequencies
por: Salelkar, Siddhesh, et al.
Publicado: (2020)

The Influence of the Modulation Index on Frequency-Modulated Steady-State Visual Evoked Potentials
por: Dreyer, Alexander M., et al.
Publicado: (2022)

Functional Source Separation for EEG-fMRI Fusion: Application to Steady-State Visual Evoked Potentials
por: Ji, Hong, et al.
Publicado: (2019)

Design of Wearable Headset with Steady State Visually Evoked Potential-Based Brain Computer Interface
por: Lin, Bor-Shyh, et al.
Publicado: (2019)

The Validity of Steady-State Visual Evoked Potentials as Attention Tags and Input Signals: A Critical Perspective of Frequency Allocation and Number of Stimuli
por: Wang, Lu, et al.
Publicado: (2020)

Simultaneous Detection of P300 and Steady-State Visually Evoked Potentials for Hybrid Brain-Computer Interface
por: Combaz, Adrien, et al.
Publicado: (2015)

Towards an Optimization of Stimulus Parameters for Brain-Computer Interfaces Based on Steady State Visual Evoked Potentials
por: Duszyk, Anna, et al.
Publicado: (2014)

Lack of Habituation in Migraine Patients Based on High-Density EEG Analysis Using the Steady State of Visual Evoked Potential
por: Abbas Abdulhussein, Msallam, et al.
Publicado: (2022)

Steady-State Motion Visual Evoked Potentials Produced by Oscillating Newton's Rings: Implications for Brain-Computer Interfaces
por: Xie, Jun, et al.
Publicado: (2012)

Highly Interactive Brain–Computer Interface Based on Flicker-Free Steady-State Motion Visual Evoked Potential
por: Han, Chengcheng, et al.
Publicado: (2018)

Driving steady-state visual evoked potentials at arbitrary frequencies using temporal interpolation of stimulus presentation
por: Andersen, Søren K., et al.
Publicado: (2015)

Decoding Steady-State Visual Evoked Potentials From Electrocorticography
por: Wittevrongel, Benjamin, et al.
Publicado: (2018)

Steady state visual evoked potentials in schizophrenia: A review
por: Schielke, Alexander, et al.
Publicado: (2022)

A Bipolar-Channel Hybrid Brain-Computer Interface System for Home Automation Control Utilizing Steady-State Visually Evoked Potential and Eye-Blink Signals
por: Yang, Dalin, et al.
Publicado: (2020)

Steady-State Somatosensory Evoked Potential for Brain-Computer Interface—Present and Future
por: Ahn, Sangtae, et al.
Publicado: (2016)

Steady state visual evoked potential (SSVEP) based brain-computer interface (BCI) performance under different perturbations
por: İşcan, Zafer, et al.
Publicado: (2018)

Generating Visual Flickers for Eliciting Robust Steady-State Visual Evoked Potentials at Flexible Frequencies Using Monitor Refresh Rate
por: Nakanishi, Masaki, et al.
Publicado: (2014)

Introducing chaotic codes for the modulation of code modulated visual evoked potentials (c-VEP) in normal adults for visual fatigue reduction
por: Shirzhiyan, Zahra, et al.
Publicado: (2019)

Steady-State Motion Visual Evoked Potential (SSMVEP) Enhancement Method Based on Time-Frequency Image Fusion
por: Yan, Wenqiang, et al.
Publicado: (2019)

Tradeoff between User Experience and BCI Classification Accuracy with Frequency Modulated Steady-State Visual Evoked Potentials
por: Dreyer, Alexander M., et al.
Publicado: (2017)

A neural basis for the visual sense of number and its development: A steady-state visual evoked potential study in children and adults
por: Park, Joonkoo
Publicado: (2017)

The Role of Visual Noise in Influencing Mental Load and Fatigue in a Steady-State Motion Visual Evoked Potential-Based Brain-Computer Interface
por: Xie, Jun, et al.
Publicado: (2017)

Steady-state visually evoked potential is modulated by the difference of recognition condition
por: Minami, Tetsuto, et al.
Publicado: (2020)

Temporal frequency dependence of the polarity inversion between upper and lower visual field in the pattern-onset steady-state visual evoked potential
por: Kessler, Roman, et al.
Publicado: (2022)

Enhanced Plasticity of Human Evoked Potentials by Visual Noise During the Intervention of Steady-State Stimulation Based Brain-Computer Interface
por: Xie, Jun, et al.
Publicado: (2018)

Comparison of Modern Highly Interactive Flicker-Free Steady State Motion Visual Evoked Potentials for Practical Brain–Computer Interfaces
por: Stawicki, Piotr, et al.
Publicado: (2020)

A multi-day and multi-band dataset for a steady-state visual-evoked potential–based brain-computer interface
por: Choi, Ga-Young, et al.
Publicado: (2019)

Brain–Computer Interface Speller Based on Steady-State Visual Evoked Potential: A Review Focusing on the Stimulus Paradigm and Performance
por: Li, Minglun, et al.
Publicado: (2021)

Multi-Task Learning-Based Deep Neural Network for Steady-State Visual Evoked Potential-Based Brain–Computer Interfaces
por: Chuang, Chia-Chun, et al.
Publicado: (2022)

Brain–Computer Interface Based on Steady-State Visual Evoked Potential Using Quick-Response Code Pattern for Wheelchair Control
por: Siribunyaphat, Nannaphat, et al.
Publicado: (2023)

Comparison of Visual Stimuli for Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces in Virtual Reality Environment in terms of Classification Accuracy and Visual Comfort
por: Choi, Kang-min, et al.
Publicado: (2019)

The Empirical Mode Decomposition-Decision Tree Method to Recognize the Steady-State Visual Evoked Potentials with Wide Frequency Range
por: Sadeghi, Sahar, et al.
Publicado: (2018)

Steady-State Visual Evoked Potential-Based Brain–Computer Interface Using a Novel Visual Stimulus with Quick Response (QR) Code Pattern
por: Siribunyaphat, Nannaphat, et al.
Publicado: (2022)

Photobiological Neuromodulation of Resting-State EEG and Steady-State Visual-Evoked Potentials by 40 Hz Violet Light Optical Stimulation in Healthy Individuals
por: Noda, Yoshihiro, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_mne092b9o300b4s0cp670tnm3h