Cargando…

Performance evaluation of a motor-imagery-based EEG-Brain computer interface using a combined cue with heterogeneous training data in BCI-Naive subjects

BACKGROUND: The subjects in EEG-Brain computer interface (BCI) system experience difficulties when attempting to obtain the consistent performance of the actual movement by motor imagery alone. It is necessary to find the optimal conditions and stimuli combinations that affect the performance factor...

Descripción completa

Detalles Bibliográficos
Autores principales:	Choi, Donghag, Ryu, Yeonsoo, Lee, Youngbum, Lee, Myoungho
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2011
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3203085/ https://www.ncbi.nlm.nih.gov/pubmed/21992570 http://dx.doi.org/10.1186/1475-925X-10-91

Ejemplares similares

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

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)

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

Co-adaptive Training Improves Efficacy of a Multi-Day EEG-Based Motor Imagery BCI Training
por: Abu-Rmileh, Amjad, et al.
Publicado: (2019)

Classification of motor imagery EEG using deep learning increases performance in inefficient BCI users
por: Tibrewal, Navneet, et al.
Publicado: (2022)

Investigating User Proficiency of Motor Imagery for EEG-Based BCI System to Control Simulated Wheelchair
por: Saichoo, Theerat, et al.
Publicado: (2022)

Selective Subject Pooling Strategy to Improve Model Generalization for a Motor Imagery BCI †
por: Won, Kyungho, et al.
Publicado: (2021)

EEG datasets for motor imagery brain–computer interface
por: Cho, Hohyun, et al.
Publicado: (2017)

Using brain connectivity metrics from synchrostates to perform motor imagery classification in EEG-based BCI systems
por: Santamaria, Lorena, et al.
Publicado: (2018)

The Impact of Different Visual Feedbacks in User Training on Motor Imagery Control in BCI
por: Zapała, Dariusz, et al.
Publicado: (2017)

An Online Data Visualization Feedback Protocol for Motor Imagery-Based BCI Training
por: Duan, Xu, et al.
Publicado: (2021)

Multisubject Learning for Common Spatial Patterns in Motor-Imagery BCI
por: Devlaminck, Dieter, et al.
Publicado: (2011)

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

A New Method to Generate Artificial Frames Using the Empirical Mode Decomposition for an EEG-Based Motor Imagery BCI
por: Dinarès-Ferran, Josep, et al.
Publicado: (2018)

Multi-Class Motor Imagery EEG Decoding for Brain-Computer Interfaces
por: Wang, Deng, et al.
Publicado: (2012)

Closed-loop motor imagery EEG simulation for brain-computer interfaces
por: Shin, Hyonyoung, et al.
Publicado: (2022)

Effect of biased feedback on motor imagery learning in BCI-teleoperation system
por: Alimardani, Maryam, et al.
Publicado: (2014)

The effects of handedness on sensorimotor rhythm desynchronization and motor-imagery BCI control
por: Zapała, Dariusz, et al.
Publicado: (2020)

Variance characteristic preserving common spatial pattern for motor imagery BCI
por: Liang, Wei, et al.
Publicado: (2023)

A BCI System Based on Motor Imagery for Assisting People with Motor Deficiencies in the Limbs
por: Attallah, Omneya, et al.
Publicado: (2020)

BCI Competition IV – Data Set I: Learning Discriminative Patterns for Self-Paced EEG-Based Motor Imagery Detection
por: Zhang, Haihong, et al.
Publicado: (2012)

Mu-Beta event-related (de)synchronization and EEG classification of left-right foot dorsiflexion kinaesthetic motor imagery for BCI
por: Tariq, Madiha, et al.
Publicado: (2020)

Increased motor cortex excitability during motor imagery in brain-computer interface trained subjects
por: Mokienko, Olesya A., et al.
Publicado: (2013)

Across-subject offline decoding of motor imagery from MEG and EEG
por: Halme, Hanna-Leena, et al.
Publicado: (2018)

EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges
por: Padfield, Natasha, et al.
Publicado: (2019)

Effects of tDCS on Real-Time BCI Detection of Pedaling Motor Imagery
por: Rodriguez-Ugarte, Maria de la Soledad, et al.
Publicado: (2018)

Development of Single-Channel Hybrid BCI System Using Motor Imagery and SSVEP
por: Ko, Li-Wei, et al.
Publicado: (2017)

Classification of motor imagery tasks for BCI with multiresolution analysis and multiobjective feature selection
por: Ortega, Julio, et al.
Publicado: (2016)

Information Theoretic Approaches for Motor-Imagery BCI Systems: Review and Experimental Comparison
por: Martín-Clemente, Rubén, et al.
Publicado: (2018)

Supervised and Semisupervised Manifold Embedded Knowledge Transfer in Motor Imagery-Based BCI
por: Xu, Yilu, et al.
Publicado: (2022)

Enhancing Cross-Subject Motor Imagery Classification in EEG-Based Brain–Computer Interfaces by Using Multi-Branch CNN
por: Chowdhury, Radia Rayan, et al.
Publicado: (2023)

Brisk heart rate and EEG changes during execution and withholding of cue-paced foot motor imagery
por: Pfurtscheller, Gert, et al.
Publicado: (2013)

EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy
por: Lee, Min-Ho, et al.
Publicado: (2019)

Mu and beta rhythm modulations in motor imagery related post-stroke EEG: a study under BCI framework for post-stroke rehabilitation
por: Shahid, Shahjahan, et al.
Publicado: (2010)

On the Deep Learning Models for EEG-Based Brain-Computer Interface Using Motor Imagery
por: Zhu, Hao, et al.
Publicado: (2022)

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

Enhanced Motor Imagery-Based BCI Performance via Tactile Stimulation on Unilateral Hand
por: Shu, Xiaokang, et al.
Publicado: (2017)

Parallel Spatial–Temporal Self-Attention CNN-Based Motor Imagery Classification for BCI
por: Liu, Xiuling, et al.
Publicado: (2020)

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

Post-stroke Rehabilitation Training with a Motor-Imagery-Based Brain-Computer Interface (BCI)-Controlled Hand Exoskeleton: A Randomized Controlled Multicenter Trial
por: Frolov, Alexander A., et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_l434rrftqcpuirpaletvmjs646