Brain–computer interfaces (BCIs) use brain activity to control external devices, thereby
enabling severely disabled patients to interact with the environment. A variety of invasive …

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 …

Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …

Brain-computer interfaces (BCI) are used in stroke rehabilitation to translate brain signals
into intended movements of the paralyzed limb. However, the efficacy and mechanisms of …

Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

Background. Robot technology for poststroke rehabilitation is develo** rapidly. A number
of new randomized controlled trials (RCTs) have investigated the effects of robot-assisted …

Brain‐computer interfaces (BCI s) can provide sensory feedback of ongoing brain
oscillations, enabling stroke survivors to modulate their sensorimotor rhythms purposefully …

Lack of adequate training samples and noisy high-dimensional features are key challenges
faced by Motor Imagery (MI) decoding algorithms for electroencephalogram (EEG) based …

Strokes are a growing cause of mortality and many stroke survivors suffer from motor
impairment as well as other types of disabilities in their daily life activities. To treat these …

Background Electromechanical and robot‐assisted arm training devices are used in
rehabilitation, and may help to improve arm function after stroke. Objectives To assess the …