Stroke is one of the leading causes of long-term disability among adults and contributes to
major socio-economic burden globally. Stroke frequently results in multifaceted impairments …

Background A substantial number of clinical studies have demonstrated the functional
recovery induced by the use of brain-computer interface (BCI) technology in patients after …

Accurate binary classification of electroencephalography (EEG) signals is a challenging task
for the development of motor imagery (MI) brain–computer interface (BCI) systems. In this …

Hand paralysis is one of the most common complications in stroke patients, which severely
impacts their daily lives. This article presents a wearable hand rehabilitation system that …

Background Hand rehabilitation is core to helping stroke survivors regain activities of daily
living. Recent studies have suggested that the use of electroencephalography-based brain …

Humans interact with computers through various devices. Such interactions may not require
any physical movement, thus aiding people with severe motor disabilities in communicating …

Motor Imagery (MI)-based Brain Computer Interface (BCI) system is a potential technology
for active neurorehabilitation of stroke patients by complementing the conventional passive …

The controlling of robotic arms based on brain–computer interface (BCI) can revolutionize
the quality of life and living conditions for individuals with physical disabilities. Invasive …

Motivated behaviours are thought to lead to enhanced performances. In the
neurorehabilitation field, motivation has been demonstrated to be a link between cognition …

Inter-subject transfer learning is a long-standing problem in brain-computer interfaces (BCIs)
and has not yet been fully realized due to high inter-subject variability in the brain signals …