A systematic review on motor-imagery brain-connectivity-based computer interfaces
This review article discusses the definition and implementation of brain–computer interface
(BCI) system relying on brain connectivity (BC) and machine learning/deep learning (DL) for …
(BCI) system relying on brain connectivity (BC) and machine learning/deep learning (DL) for …
Deep learning in motor imagery EEG signal decoding: A Systematic Review
Thanks to the fast evolution of electroencephalography (EEG)-based brain-computer
interfaces (BCIs) and computing technologies, as well as the availability of large EEG …
interfaces (BCIs) and computing technologies, as well as the availability of large EEG …
Classification of upper arm movements from eeg signals using machine learning with ica analysis
P Kokate, S Pancholi, AM Joshi - arXiv preprint arXiv:2107.08514, 2021 - arxiv.org
The Brain-Computer Interface system is a profoundly developing area of experimentation for
Motor activities which plays vital role in decoding cognitive activities. Classification of …
Motor activities which plays vital role in decoding cognitive activities. Classification of …
A novel decoding method for motor imagery tasks with 4D data representation and 3D convolutional neural networks
M Li, Z Ruan - Journal of Neural Engineering, 2021 - iopscience.iop.org
Objective. Motor imagery electroencephalography (MI-EEG) produces one of the most
commonly used biosignals in intelligent rehabilitation systems. The newly developed 3D …
commonly used biosignals in intelligent rehabilitation systems. The newly developed 3D …
Object movement motor imagery for EEG based BCI system using convolutional neural networks
E Petoku, G Capi - 2021 9th International Winter Conference …, 2021 - ieeexplore.ieee.org
Brain-Computer Interface systems aim to send commands to the computer or a certain
device through brain activity. Motor Imagery, part of BCI research field, aims to generate …
device through brain activity. Motor Imagery, part of BCI research field, aims to generate …
[PDF][PDF] AReview ON EEG CONTROLLED BCI: DEEP LEARNING APPROACH
Advanced signal processing methodologies are required to correctly interpret and analyse
the characteristics of Electroencephalography (EEG) signal. The development of EEG-based …
the characteristics of Electroencephalography (EEG) signal. The development of EEG-based …