Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states

AE Hramov, VA Maksimenko, AN Pisarchik - Physics Reports, 2021 - Elsevier
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …

Studies to overcome brain–computer interface challenges

WS Choi, HG Yeom - Applied Sciences, 2022 - mdpi.com
A brain–computer interface (BCI) is a promising technology that can analyze brain signals
and control a robot or computer according to a user's intention. This paper introduces our …

[HTML][HTML] A hybrid steady-state visual evoked response-based brain-computer interface with MEG and EEG

X Li, J Chen, N Shi, C Yang, P Gao, X Chen… - Expert Systems with …, 2023 - Elsevier
While recent developments in electroencephalogram (EEG)-based brain-computer
interfaces (BCIs) have enabled a bridge between the brain and external devices with …

[HTML][HTML] Identification of cerebral cortices processing acceleration, velocity, and position during directional reaching movement with deep neural network and …

HJ Kim, JS Kim, CK Chung - NeuroImage, 2023 - Elsevier
Cerebral cortical representation of motor kinematics is crucial for understanding human
motor behavior, potentially extending to efficient control of the brain-computer interface …

A magnetoencephalography dataset during three-dimensional reaching movements for brain-computer interfaces

HG Yeom, JS Kim, CK Chung - Scientific Data, 2023 - nature.com
Studying the motor-control mechanisms of the brain is critical in academia and also has
practical implications because techniques such as brain-computer interfaces (BCIs) can be …

F-value time-frequency analysis: Between-within variance analysis

HG Yeom, H Jeong - Frontiers in Neuroscience, 2021 - frontiersin.org
Studies on brain mechanisms enable us to treat various brain diseases and develop diverse
technologies for daily life. Therefore, an analysis method of neural signals is critical, as it …

Dual model transfer learning to compensate for individual variability in brain-computer interface

JS Kim, HJ Kim, CK Chung, JS Kim - Computer Methods and Programs in …, 2024 - Elsevier
Abstract Background and Objective Recent advancements in brain-computer interface (BCI)
technology have seen a significant shift towards incorporating complex decoding models …

Applying antagonistic activation pattern to the single-trial classification of mental arithmetic

S Liu - Heliyon, 2022 - cell.com
Background At present, the application of fNIRS in the field of brain-computer interface (BCI)
is being a hot topic. By fNIRS-BCI, the brain realizes the control of external devices. A state …

[图书][B] Proceedings of Second International Conference on Intelligent System: ICIS 2023

JMRS Tavares, S Pal, VC Gerogiannis, BT Hung - 2024 - books.google.com
This book gathers selected high-quality research papers presented at the Second
International Conference on Intelligent System (ICIS 2023), organized by Industrial …

Multi-Functional Brain Computer Interface Using Convolutional Neural Networks

W Choi, H Yeom, N Ko - 2022 22nd International Conference …, 2022 - ieeexplore.ieee.org
Brain-computer interface (BCI) is a promising technology that controls computers or
machines using brain signals. With this technology, people with various disabilities, such as …