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 …

Combining detrended cross-correlation analysis with Riemannian geometry-based classification for improved brain-computer interface performance

FS Racz, S Kumar, Z Kaposzta, H Alawieh… - Frontiers in …, 2024 - frontiersin.org
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 …

Effect of a brain–computer interface based on pedaling motor imagery on cortical excitability and connectivity

VF Cardoso, D Delisle-Rodriguez, MA Romero-Laiseca… - Sensors, 2021 - mdpi.com
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 …

[HTML][HTML] Effective connectivity for decoding electroencephalographic motor imagery using a probabilistic neural network

MA Awais, MZ Yusoff, DM Khan, N Yahya, N Kamel… - Sensors, 2021 - mdpi.com
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 …

Estimation of brain connectivity during motor imagery tasks using noise-assisted multivariate empirical mode decomposition

KB Lee, KK Kim, J Song, J Ryu, Y Kim… - Journal of Electrical …, 2016 - koreascience.kr
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 …

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 …

[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 …

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 …

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 …

[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 …