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 …

Since the nonlinear and non-stationary characteristics of electroencephalogram (EEG)
signals, motor imagery based brain-computer interface (MI-BCI) have problems of poor …

Accurately characterizing brain activity requires detailed feature analysis in the temporal,
spatial, and spectral domains. While previous research has proposed various spatial and …

Interlimb coupling refers to the interaction between movements of one limb and movements
of other limbs. Understanding mechanisms underlying this effect is important to real life …

Electroencephalograph (EEG) brain-computer interfaces (BCI) have potential to provide new
paradigms for controlling computers and devices. The accuracy of brain pattern …

This paper is dedicated to solving the issue of insufficient feature extraction and declining
model performance in the classification of motor imagery electroencephalogram (EEG) …

Objective. While electroencephalography (EEG)-based brain–computer interfaces (BCIs)
have many potential clinical applications, their use is impeded by poor performance for …

Hand rehabilitation has been widely studied since it affects the life quality and
independence of those affected. Hand impairment can be caused by several conditions …