Cargando…

Whitening Technique Based on Gram–Schmidt Orthogonalization for Motor Imagery Classification of Brain–Computer Interface Applications

A novel whitening technique for motor imagery (MI) classification is proposed to reduce the accuracy variance of brain–computer interfaces (BCIs). This method is intended to improve the electroencephalogram eigenface analysis performance for the MI classification of BCIs. In BCI classification, the...

Descripción completa

Detalles Bibliográficos
Autores principales:	Choi, Hojong, Park, Junghun, Yang, Yeon-Mo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413233/ https://www.ncbi.nlm.nih.gov/pubmed/36015803 http://dx.doi.org/10.3390/s22166042

Ejemplares similares

Distributed Gram-Schmidt orthogonalization with simultaneous elements refinement
por: Slučiak, Ondrej, et al.
Publicado: (2016)

A Novel Quick-Response Eigenface Analysis Scheme for Brain–Computer Interfaces
por: Choi, Hojong, et al.
Publicado: (2022)

Overcoming Catastrophic Interference in Connectionist Networks Using Gram-Schmidt Orthogonalization
por: Srivastava, Vipin, et al.
Publicado: (2014)

Variational Pansharpening for Hyperspectral Imagery Constrained by Spectral Shape and Gram–Schmidt Transformation †
por: Huang, Zehua, et al.
Publicado: (2018)

Electroencephalography-Based Brain–Computer Interface Motor Imagery Classification
por: Mohammadi, Ehsan, et al.
Publicado: (2021)

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

Transfer Kernel Common Spatial Patterns for Motor Imagery Brain-Computer Interface Classification
por: Dai, Mengxi, et al.
Publicado: (2018)

The Ensemble Machine Learning-Based Classification of Motor Imagery Tasks in Brain-Computer Interface
por: Subasi, Abdulhamit, et al.
Publicado: (2021)

Arithmetic Optimization with RetinaNet Model for Motor Imagery Classification on Brain Computer Interface
por: Malibari, Areej A., et al.
Publicado: (2022)

Dimensional Lifting through the Generalized Gram–Schmidt Process
por: Havlicek, Hans, et al.
Publicado: (2018)

Vividness of Visual Imagery and Personality Impact Motor-Imagery Brain Computer Interfaces
por: Leeuwis, Nikki, et al.
Publicado: (2021)

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

Functional Connectivity Analysis in Motor-Imagery Brain Computer Interfaces
por: Leeuwis, Nikki, et al.
Publicado: (2021)

An Unsupervised Deep-Transfer-Learning-Based Motor Imagery EEG Classification Scheme for Brain–Computer Interface
por: Wang, Xuying, et al.
Publicado: (2022)

High Classification Accuracy of a Motor Imagery Based Brain-Computer Interface for Stroke Rehabilitation Training
por: Irimia, Danut C., et al.
Publicado: (2018)

Motor Imagery Classification for Brain Computer Interface Using Deep Convolutional Neural Networks and Mixup Augmentation
Publicado: (2022)

Functional Electrical Stimulation Controlled by Motor Imagery Brain-Computer Interface for Rehabilitation
por: Choi, Inchul, et al.
Publicado: (2020)

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

User’s Self-Prediction of Performance in Motor Imagery Brain–Computer Interface
por: Ahn, Minkyu, et al.
Publicado: (2018)

An Impending Paradigm Shift in Motor Imagery Based Brain-Computer Interfaces
por: Papadopoulos, Sotirios, et al.
Publicado: (2022)

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

Review of public motor imagery and execution datasets in brain-computer interfaces
por: Gwon, Daeun, et al.
Publicado: (2023)

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)

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

An Algorithm for Idle-State Detection in Motor-Imagery-Based Brain-Computer Interface
por: Zhang, Dan, et al.
Publicado: (2007)

A large electroencephalographic motor imagery dataset for electroencephalographic brain computer interfaces
por: Kaya, Murat, et al.
Publicado: (2018)

On the Assessment of Functional Connectivity in an Immersive Brain-Computer Interface During Motor Imagery
por: Alanis-Espinosa, Myriam, et al.
Publicado: (2020)

On the Better Performance of Pianists with Motor Imagery-Based Brain-Computer Interface Systems
por: Riquelme-Ros, José-Vicente, et al.
Publicado: (2020)

Discriminating three motor imagery states of the same joint for brain-computer interface
por: Guan, Shan, et al.
Publicado: (2021)

A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interface
por: Rathee, Dheeraj, et al.
Publicado: (2021)

Optimization of Task Allocation for Collaborative Brain–Computer Interface Based on Motor Imagery
por: Gu, Bin, et al.
Publicado: (2021)

Optimizing Motor Imagery Parameters for Robotic Arm Control by Brain-Computer Interface
por: Hayta, Ünal, et al.
Publicado: (2022)

Transformed common spatial pattern for motor imagery-based brain-computer interfaces
por: Ma, Zhen, et al.
Publicado: (2023)

Corrigendum: Review of public motor imagery and execution datasets in brain-computer interfaces
por: Gwon, Daeun, et al.
Publicado: (2023)

Classification Scheme for Arm Motor Imagery
por: Tavakolan, Mojgan, et al.
Publicado: (2016)

A Novel Transfer Support Matrix Machine for Motor Imagery-Based Brain Computer Interface
por: Chen, Yan, et al.
Publicado: (2020)

The Schmidt syndrome
por: Siniscalchi, Carmine, et al.
Publicado: (2017)

Application of Continuous Wavelet Transform and Convolutional Neural Network in Decoding Motor Imagery Brain-Computer Interface
por: Lee, Hyeon Kyu, et al.
Publicado: (2019)

Motor Imagery for Severely Motor-Impaired Patients: Evidence for Brain-Computer Interfacing as Superior Control Solution
por: Höhne, Johannes, et al.
Publicado: (2014)

A Wearable Channel Selection-Based Brain-Computer Interface for Motor Imagery Detection
por: Lo, Chi-Chun, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_be01j57pe0658lp00g1spututl