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 …
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 …
out due to their potential for lower-limb recovery. In this scenario, the behaviors of the …
[PDF][PDF] 基于深度时空特征融合的多通道运动想象EEG 解码方法
杨俊， 马正敏， 沈韬， 陈壮飞， 宋耀莲 - 电子与信息学报, 2021 - jeit.ac.cn
脑电(EEG) 是一种在临床上广泛应用的脑信息记录形式, 其反映了脑活动中神经细胞放电产生的
电场变化情况. 脑电广泛应用于脑-机接口(BCI) 系统. 然而, 研究表明脑电信息空间分辨率较低 …
电场变化情况. 脑电广泛应用于脑-机接口(BCI) 系统. 然而, 研究表明脑电信息空间分辨率较低 …
On the characterization of cognitive tasks using activity-specific short-lived synchronization between electroencephalography channels
Accurate characterization of brain activity during a cognitive task is challenging due to the
dynamically changing and the complex nature of the brain. The majority of the proposed …
dynamically changing and the complex nature of the brain. The majority of the proposed …
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 …
Improving cross-subject classification performance of motor imagery signals: a data augmentation-focused deep learning framework
Motor imagery brain-computer interfaces (MI-BCIs) have gained a lot of attention in recent
years thanks to their potential to enhance rehabilitation and control of prosthetic devices for …
years thanks to their potential to enhance rehabilitation and control of prosthetic devices for …
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 …
[HTML][HTML] Detection of postictal generalized electroencephalogram suppression: random forest approach
Background Sudden unexpected death in epilepsy (SUDEP) is second only to stroke in
neurological events resulting in years of potential life lost. Postictal generalized …
neurological events resulting in years of potential life lost. Postictal generalized …
Spatial Visual Imagery (SVI)-Based Electroencephalograph Discrimination for Natural CAD Manipulation
With the increasing demand for natural interactions, people have realized that an intuitive
Computer-Aided Design (CAD) interaction mode can reduce the complexity of CAD …
Computer-Aided Design (CAD) interaction mode can reduce the complexity of CAD …
Coherence-based correntropy spectral density: A novel coherence measure for functional connectivity of EEG signals
Finding the interrelationship between EEG time series at both sensory and source levels
during a mental task is helpful in understanding the corresponding neural functionality …
during a mental task is helpful in understanding the corresponding neural functionality …