A state-of-the-art review of EEG-based imagined speech decoding
Currently, the most used method to measure brain activity under a non-invasive procedure is
the electroencephalogram (EEG). This is because of its high temporal resolution, ease of …
the electroencephalogram (EEG). This is because of its high temporal resolution, ease of …
A critical survey of eeg-based bci systems for applications in industrial internet of things
R Ajmeria, M Mondal, R Banerjee… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) and its applications have seen a paradigm shift since the
advent of artificial intelligence and machine learning. However, these methods are mostly …
advent of artificial intelligence and machine learning. However, these methods are mostly …
[HTML][HTML] Electroencephalogram channel selection based on pearson correlation coefficient for motor imagery-brain-computer interface
R Dhiman - Measurement: Sensors, 2023 - Elsevier
Abstract Decryption of Motor Imagery (MI) activity from an Electroencephalogram (EEG) data
is a significant part of the Brain-Computer Interface (BCI) technology that allows motor …
is a significant part of the Brain-Computer Interface (BCI) technology that allows motor …
A systematic review on artifact removal and classification techniques for enhanced meg-based bci systems
B Susan Philip, G Prasad… - Brain-Computer Interfaces, 2023 - Taylor & Francis
Neurological disease victims may be completely paralyzed and unable to move, but they
may still be able to think. Their brain activity is the only means by which they can interact …
may still be able to think. Their brain activity is the only means by which they can interact …
Metaverse for brain computer interface: towards new and improved applications
The metaverse is a virtual-world human interaction. Virtual platforms can express human
thoughts or even dreams, at least in the metaverse reality, but there are few restrictions on …
thoughts or even dreams, at least in the metaverse reality, but there are few restrictions on …
Identifying Thematics in a Brain‐Computer Interface Research
H Alharbi - Computational Intelligence and Neuroscience, 2023 - Wiley Online Library
This umbrella review is motivated to understand the shift in research themes on brain‐
computer interfacing (BCI) and it determined that a shift away from themes that focus on …
computer interfacing (BCI) and it determined that a shift away from themes that focus on …
Fractal Dimension as a discriminative feature for high accuracy classification in motor imagery EEG-based brain-computer interface
Abstract Background and Objective The brain-computer interface (BCI) technology acquires
human brain electrical signals, which can be effectively and successfully used to control …
human brain electrical signals, which can be effectively and successfully used to control …
GDNet-EEG: An attention-aware deep neural network based on group depth-wise convolution for SSVEP stimulation frequency recognition
Z Wan, W Cheng, M Li, R Zhu, W Duan - Frontiers in Neuroscience, 2023 - frontiersin.org
Background Steady state visually evoked potentials (SSVEPs) based early glaucoma
diagnosis requires effective data processing (eg, deep learning) to provide accurate …
diagnosis requires effective data processing (eg, deep learning) to provide accurate …
Brain-computer interface prototype to support upper limb rehabilitation processes in the human body
D Camargo-Vargas, M Callejas-Cuervo… - International Journal of …, 2023 - Springer
The high potential for creating brain-computer interfaces (BCIs) and video games for upper
limb rehabilitation has been demonstrated in recent years. In this work, we describe the …
limb rehabilitation has been demonstrated in recent years. In this work, we describe the …
A Self-Supervised Task-Agnostic Embedding for EEG Signals
Brain-Computer Interfaces (BCIs) have great potential for improving the lives of people with
disabilities. The success of a BCI system is largely driven by the accuracy of the BCI …
disabilities. The success of a BCI system is largely driven by the accuracy of the BCI …