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Electroencephalographic motor imagery brain connectivity analysis for BCI: a review
M Hamedi, SH Salleh, AM Noor - Neural computation, 2016 - ieeexplore.ieee.org
Recent research has reached a consensus on the feasibility of motor imagery brain-
computer interface (MI-BCI) for different applications, especially in stroke rehabilitation. Most …
computer interface (MI-BCI) for different applications, especially in stroke rehabilitation. Most …
Combining detrended cross-correlation analysis with Riemannian geometry-based classification for improved brain-computer interface performance
Riemannian geometry-based classification (RGBC) gained popularity in the field of brain-
computer interfaces (BCIs) lately, due to its ability to deal with non-stationarities arising in …
computer interfaces (BCIs) lately, due to its ability to deal with non-stationarities arising in …
Effect of a brain–computer interface based on pedaling motor imagery on cortical excitability and connectivity
Recently, studies on cycling-based brain–computer interfaces (BCIs) have been standing
out due to their potential for lower-limb recovery. In this scenario, the behaviors of the …
out due to their potential for lower-limb recovery. In this scenario, the behaviors of the …
[HTML][HTML] Effective connectivity for decoding electroencephalographic motor imagery using a probabilistic neural network
Motor imagery (MI)-based brain–computer interfaces have gained much attention in the last
few years. They provide the ability to control external devices, such as prosthetic arms and …
few years. They provide the ability to control external devices, such as prosthetic arms and …
Estimation of brain connectivity during motor imagery tasks using noise-assisted multivariate empirical mode decomposition
The neural dynamics underlying the causal network during motor planning or imagery in the
human brain are not well understood. The lack of signal processing tools suitable for the …
human brain are not well understood. The lack of signal processing tools suitable for the …
Análise do eletroencefalograma durante estimulação visual por realidade virtual estereoscópica em tarefa de interceptação de bola
BF Viana - 2019 - pantheon.ufrj.br
À minha amada filha Nalu dos Santos Viana, que hoje com 5 anos, cresceu vendo o pai
dedicando horas e mais horas em frente ao computador. Espero poder servir como exemplo …
dedicando horas e mais horas em frente ao computador. Espero poder servir como exemplo …
[PDF][PDF] Identificação da direção do fluxo de informação no EEG para movimentos do cotovelo durante interação humano robô
A SILVA, AM de Sá… - Congresso Brasileiro de …, 2014 - canal6.com.br
Interfaces cérebro máquina (ICM) não invasivas, com base na eletroencefalografia (EEG),
voltadas a tecnologias assistivas ou auxilio na reabilitação motora devem ser capazes de …
voltadas a tecnologias assistivas ou auxilio na reabilitação motora devem ser capazes de …
New causality with adaptive model order and its applications to motor imagery EEG
H Zheng, Q She, X Geng, Y Ma - 2018 37th Chinese Control …, 2018 - ieeexplore.ieee.org
Granger causality (GC) has been widely applied into the investigation of the directed
functional connectivity from neurophysiological data, and however conventional GC …
functional connectivity from neurophysiological data, and however conventional GC …
Conectividade cerebral como característica para classificar tarefas motoras de mesmo segmento corporal: Interação humano-robô
GFM Silveira - 2017 - pantheon.ufrj.br
Interfaces cérebro-máquina (ICMs) sao sistemas que permitem controlar dispositivos
eletrônicos ou atuadores eletromecânicos por meio de comandos identificados a partir de …
eletrônicos ou atuadores eletromecânicos por meio de comandos identificados a partir de …
[PDF][PDF] Adaptive Nonlinear Multivariate Brain Connectivity Analysis of Motor Imagery Movements Using Graph Theory
M Hamedi - 2016 - core.ac.uk
Recent studies on motor imagery (MI)-based brain computer interaction (BCI) reported that
the interaction of spatially separated brain areas in forms of functional or effective …
the interaction of spatially separated brain areas in forms of functional or effective …