Over the past several decades, electroencephalogram (EEG)-based brain-computer
interfaces (BCIs) have attracted attention from researchers in the field of neuroscience …

Objective. Despite the vast research aimed at improving the performance of steady-state
visually evoked potential (SSVEP)-based brain–computer interfaces (BCIs), several …

Multi-channel EEG data are usually necessary for spatial pattern identification in motor
imagery (MI)-based brain computer interfaces (BCIs). To some extent, signals from some …

Common spatial pattern (CSP)-based spatial filtering has been most popularly applied to
electroencephalogram (EEG) feature extraction for motor imagery (MI) classification in brain …

Canonical correlation analysis (CCA) has been one of the most popular methods for
frequency recognition in steady-state visual evoked potential (SSVEP)-based brain …

Objective. Brain-controlled robotic arms have shown broad application prospects with the
development of robotics, science and information decoding. However, disadvantages, such …

The concept of controlling a wheelchair using brain signals is promising. However, the
continuous control of a wheelchair based on unstable and noisy electroencephalogram …

Cognitive motor dissociation describes a subset of patients with disorders of consciousness
who show neuroimaging evidence of consciousness but no detectable command-following …

Many of the most widely accepted methods for reliable detection of steady-state visual
evoked potentials (SSVEPs) in the electroencephalogram (EEG) utilize canonical correlation …

Brain-computer interface (BCI) for robotic arm control has been studied to improve the life
quality of people with severe motor disabilities. There are still challenges for robotic arm …