A brain–computer interface (BCI) can connect humans and machines directly and has
achieved successful applications in the past few decades. Many new BCI paradigms and …

Motor imagery (MI)-based brain–computer interfaces (BCI) have shown increased potential
for the rehabilitation of stroke patients; nonetheless, their implementation in clinical practice …

Objective. Error-related potential (ErrP) is a potential elicited in the brain when humans
perceive an error. ErrPs have been researched in a variety of contexts, such as to increase …

Robot-assisted motor training is applied for neurorehabilitation in stroke patients, using
motor imagery (MI) as a representative paradigm of brain-computer interfaces to offer real …

(1) Objective: To investigate the feasibility, safety, and effectiveness of a brain–computer
interface (BCI) system with visual and motor feedback in limb and brain function …

Abstract Background and objective Brain-Machine Interfaces (BMIs) based on a motor
imagination paradigm provide an intuitive approach for the exoskeleton control during gait …

Objective Decoding arm movement kinematics from motor imagery can provide more natural
control of the Brain-Computer Interface (BCI) system. This work aims to decode two …

Most hybrid brain-computer interfaces (hBCI) aim at improving the performance of single-
input BCI. Many combinations are possible to configure an hBCI, such as using multiple …

In heavily automated environments, such as modern-day cockpits, operators perform
prolonged monitoring tasks, during which critical events may occur only rarely. A user model …

Brain–computer interfaces (BCIs) are a continuously evolving technology of great
importance to society and human wellbeing. With a wide range of applications and the …