Motor imagery (MI) is a cognitive process wherein an individual mentally rehearses a
specific movement without physically executing it. Recently, MI-based brain–computer …

Surface electromyography (sEMG)-based automated grasp recognition (AGR) has emerged
as a vital technology in the field of automatic control, human-machine interfaces, prosthetics …

The effects of corticomuscular connectivity during object manipulation tasks with different
haptic sensations have not been quantitatively investigated. Connectivity analyses enable …

The classification of electroencephalogram (EEG) motor imagery signals has emerged as a
prominent research focus within the realm of brain-computer interfaces. Nevertheless, the …

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 …

Abstract Motor Imagery-Brain Computer Interface (MI-BCI) is a very important technology
gaining momentum throughout the last decade. This technology enables the linkage of brain …

Non-invasive brain-computer interfaces (BCI) hold great promise in the field of
neurorehabilitation. They are easy to use and do not require surgery, particularly in the area …

Enhancing motor disability assessment and its imagery classification is a significant concern
in contemporary medical practice, necessitating reliable solutions to improve patient …

Same limb motor imagery (MI) brain-computer interfaces can effectively overcome the
cognitive disassociation problem of the traditional different-limb MI paradigm, and they can …

Introduction Within the development of brain-computer interface (BCI) systems, it is crucial to
consider the impact of brain network dynamics and neural signal transmission mechanisms …