Cargando…

Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b

The Common Spatial Pattern (CSP) algorithm is an effective and popular method for classifying 2-class motor imagery electroencephalogram (EEG) data, but its effectiveness depends on the subject-specific frequency band. This paper presents the Filter Bank Common Spatial Pattern (FBCSP) algorithm to o...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ang, Kai Keng, Chin, Zheng Yang, Wang, Chuanchu, Guan, Cuntai, Zhang, Haihong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Research Foundation 2012
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3314883/ https://www.ncbi.nlm.nih.gov/pubmed/22479236 http://dx.doi.org/10.3389/fnins.2012.00039

Ejemplares similares

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

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

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

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

Selective Feature Generation Method Based on Time Domain Parameters and Correlation Coefficients for Filter-Bank-CSP BCI Systems
por: Park, Yongkoo, et al.
Publicado: (2019)

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

On Some Fuzzy Filters in Pseudo-BCI Algebras
por: Zhang, Xiaohong
Publicado: (2014)

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

Brain plasticity following MI-BCI training combined with tDCS in a randomized trial in chronic subcortical stroke subjects: a preliminary study
por: Hong, Xin, et al.
Publicado: (2017)

A hierarchical dynamic Bayesian learning network for EMG-based early prediction of voluntary movement intention
por: Chen, Yongming, et al.
Publicado: (2023)

Instant classification for the spatially-coded BCI
por: Maÿe, Alexander, et al.
Publicado: (2022)

Selection of Efficient Features for Discrimination of Hand Movements from MEG Using a BCI Competition IV Data Set
por: Hajipour Sardouie, Sepideh, et al.
Publicado: (2012)

Facilitating motor imagery-based brain–computer interface for stroke patients using passive movement
por: Arvaneh, Mahnaz, et al.
Publicado: (2016)

L1 Norm based common spatial patterns decomposition for scalp EEG BCI
por: Li, Peiyang, et al.
Publicado: (2013)

Major Depression Detection from EEG Signals Using Kernel Eigen-Filter-Bank Common Spatial Patterns
por: Liao, Shih-Cheng, et al.
Publicado: (2017)

Brain-computer interface-based robotic end effector system for wrist and hand rehabilitation: results of a three-armed randomized controlled trial for chronic stroke
por: Ang, Kai Keng, et al.
Publicado: (2014)

Discussion on “Competition on Spatial Statistics for Large Datasets”
por: Allard, Denis, et al.
Publicado: (2021)

Discussion on Competition for Spatial Statistics for Large Datasets
por: Flury, Roman, et al.
Publicado: (2021)

Wavelets and filter banks
por: Strang, Gilbert, et al.
Publicado: (1996)

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

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

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

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

Foreign bank entry and bank competition: Cross-country heterogeneity
por: Yin, Haiyan
Publicado: (2021)

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

A Review on Motor Imagery with Transcranial Alternating Current Stimulation: Bridging Motor and Cognitive Welfare for Patient Rehabilitation
por: Lim, Rosary Yuting, 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)

Long Multi-Stage Training for a Motor-Impaired User in a BCI Competition
por: Turi, Federica, et al.
Publicado: (2021)

Neural correlates of user learning during long-term BCI training for the Cybathlon competition
por: Tortora, Stefano, et al.
Publicado: (2022)

Discrete-Time Bases and Filter Banks
Publicado: (2020)

Discrete-Time Bases and Filter Banks
Publicado: (2020)

Interest Rate Competition among C Banks, S Banks, and Credit Unions
por: Lawrence, Edward R., et al.
Publicado: (2022)

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

Application of a single-flicker online SSVEP BCI for spatial navigation
por: Chen, Jingjing, et al.
Publicado: (2017)

Editorial: Long Term User Training and Preparation to Succeed in a Closed-Loop BCI Competition
por: Müller-Putz, Gernot R., et al.
Publicado: (2022)

Statistical analysis of bank deposits dataset
por: Oguntunde, Pelumi E., et al.
Publicado: (2018)

A joint dataset of official COVID-19 reports and the governance, trade and competitiveness indicators of World Bank group platforms
por: Kurbucz, Marcell Tamás
Publicado: (2020)

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

System Derived Spatial-Temporal CNN for High-Density fNIRS BCI
Publicado: (2023)

Orthogonal waveforms and filter banks for future communication systems
por: Renfors, Markku, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_efhqd567ohgqr7ncg863h96sid