Cargando…

EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy

BACKGROUND: Electroencephalography (EEG)-based brain-computer interface (BCI) systems are mainly divided into three major paradigms: motor imagery (MI), event-related potential (ERP), and steady-state visually evoked potential (SSVEP). Here, we present a BCI dataset that includes the three major BCI...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lee, Min-Ho, Kwon, O-Yeon, Kim, Yong-Jeong, Kim, Hong-Kyung, Lee, Young-Eun, Williamson, John, Fazli, Siamac, Lee, Seong-Whan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2019
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6501944/ https://www.ncbi.nlm.nih.gov/pubmed/30698704 http://dx.doi.org/10.1093/gigascience/giz002

Ejemplares similares

Towards a Cure for BCI Illiteracy
por: Vidaurre, Carmen, et al.
Publicado: (2009)

Mobile BCI dataset of scalp- and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running
por: Lee, Young-Eun, et al.
Publicado: (2021)

Predicting BCI Subject Performance Using Probabilistic Spatio-Temporal Filters
por: Suk, Heung-Il, et al.
Publicado: (2014)

Bridging the BCI illiteracy gap: a subject-to-subject semantic style transfer for EEG-based motor imagery classification
por: Kim, Da-Hyun, et al.
Publicado: (2023)

High Theta and Low Alpha Powers May Be Indicative of BCI-Illiteracy in Motor Imagery
por: Ahn, Minkyu, et al.
Publicado: (2013)

Distribution Adaptation and Classification Framework Based on Multiple Kernel Learning for Motor Imagery BCI Illiteracy
por: Tao, Lin, et al.
Publicado: (2022)

EEG-based BCI Dataset of Semantic Concepts for Imagination and Perception Tasks
por: Wilson, Holly, et al.
Publicado: (2023)

The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology
por: Blankertz, Benjamin, et al.
Publicado: (2010)

Prefrontal Asymmetry BCI Neurofeedback Datasets
por: Charles, Fred, et al.
Publicado: (2020)

The Hybrid BCI
por: Pfurtscheller, Gert, et al.
Publicado: (2010)

Effects of user mental state on EEG-BCI performance
por: Myrden, Andrew, et al.
Publicado: (2015)

EEG-Based BCI Emotion Recognition: A Survey
por: Torres, Edgar P., et al.
Publicado: (2020)

EEG-Based BCI System to Detect Fingers Movements
por: Gannouni, Sofien, et al.
Publicado: (2020)

Artifacts in EEG-Based BCI Therapies: Friend or Foe?
por: McDermott, Eric James, et al.
Publicado: (2021)

Past, Present, and Future of EEG-Based BCI Applications
por: Värbu, Kaido, et al.
Publicado: (2022)

Optimizing the Face Paradigm of BCI System by Modified Mismatch Negative Paradigm
por: Zhou, Sijie, et al.
Publicado: (2016)

The Role of the Interplay between Stimulus Type and Timing in Explaining BCI-Illiteracy for Visual P300-Based Brain-Computer Interfaces
por: Carabalona, Roberta
Publicado: (2017)

Thinking out loud, an open-access EEG-based BCI dataset for inner speech recognition
por: Nieto, Nicolás, et al.
Publicado: (2022)

An Instant Donning Multi-Channel EEG Headset (with Comb-Shaped Dry Electrodes) and BCI Applications
por: Kim, Jeehoon, et al.
Publicado: (2019)

Gamma band activity associated with BCI performance: simultaneous MEG/EEG study
por: Ahn, Minkyu, et al.
Publicado: (2013)

OptEF-BCI: An Optimization-Based Hybrid EEG and fNIRS–Brain Computer Interface
por: Ali, Muhammad Umair, et al.
Publicado: (2023)

Time-frequency analysis of band-limited EEG with BMFLC and Kalman filter for BCI applications
por: Wang, Yubo, et al.
Publicado: (2013)

Motor Imagery Under Distraction— An Open Access BCI Dataset
por: Brandl, Stephanie, et al.
Publicado: (2020)

On the Quantification of SSVEP Frequency Responses in Human EEG in Realistic BCI Conditions
por: Kuś, Rafał, et al.
Publicado: (2013)

Feature Selection Applying Statistical and Neurofuzzy Methods to EEG-Based BCI
por: Martinez-Leon, Juan-Antonio, et al.
Publicado: (2015)

EEG-Based BCI Control Schemes for Lower-Limb Assistive-Robots
por: Tariq, Madiha, et al.
Publicado: (2018)

Editorial: Recent advances in EEG (non-invasive) based BCI applications
por: Islam, Md. Kafiul, et al.
Publicado: (2023)

A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments
por: Cardona-Álvarez, Yeison Nolberto, et al.
Publicado: (2023)

Predicting Motor Imagery BCI Performance Based on EEG Microstate Analysis
por: Cui, Yujie, et al.
Publicado: (2023)

Review of the BCI Competition IV
por: Tangermann, Michael, et al.
Publicado: (2012)

A Novel Cognition-Guided Neurofeedback BCI Dataset on Nicotine Addiction
por: Bu, Junjie, et al.
Publicado: (2021)

A novel P300 BCI speller based on the Triple RSVP paradigm
por: Lin, Zhimin, et al.
Publicado: (2018)

Enhanced Performance by Time-Frequency-Phase Feature for EEG-Based BCI Systems
por: Xu, Baolei, et al.
Publicado: (2014)

EEG-Based BCI System Using Adaptive Features Extraction and Classification Procedures
por: Mondini, Valeria, et al.
Publicado: (2016)

A High-Speed SSVEP-Based BCI Using Dry EEG Electrodes
por: Xing, Xiao, et al.
Publicado: (2018)

Task Transfer Learning for EEG Classification in Motor Imagery-Based BCI System
por: Zheng, Xuanci, et al.
Publicado: (2020)

EEG Signal Complexity Measurements to Enhance BCI-Based Stroke Patients’ Rehabilitation
por: Al-Qazzaz, Noor Kamal, et al.
Publicado: (2023)

Real-Time fMRI Pattern Decoding and Neurofeedback Using FRIEND: An FSL-Integrated BCI Toolbox
por: Sato, João R., et al.
Publicado: (2013)

Dataset Evaluation Method and Application for Performance Testing of SSVEP-BCI Decoding Algorithm
por: Liang, Liyan, et al.
Publicado: (2023)

Handling wake potentials computed with BCI
por: Jowett, John M
Publicado: (1981)

Cannot write session to /tmp/vufind_sessions/sess_6lvo287gcq0nof7599m8n3o5d0