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

Mobile electroencephalography (mobile EEG) represents a next-generation neuroscientific
technology–to study real-time brain activity–that is relatively inexpensive, non-invasive and …

Traditional rehabilitation techniques present limitations and the majority of patients show
poor 1-year post-stroke recovery. Thus, Neurofeedback (NF) or Brain-Computer-Interface …

The brain-computer interface (BCI)-mediated rehabilitation is emerging as a solution to
restore motor skills in paretic patients after stroke. In the human brain, cortical motor neurons …

More than 85% of stroke survivors suffer from different degrees of disability for the rest of
their lives. They will require support that can vary from occasional to full time assistance …

Background After stroke, wrist extension dyscoordination precludes functional arm/hand. We
developed a more spatially precise brain signal for use in brain computer interface (BCI's) …

Auditory attention detection (AAD) is promising for use in auditory-assistive devices to detect
to which sound the user is attending. Being able to train subjects in achieving high AAD …

Stroke is a leading cause of persistent upper extremity (UE) motor disability in adults. Brain–
computer interface (BCI) intervention has demonstrated potential as a motor rehabilitation …

The stroke, which is a sudden cut in the blood supply in the brain, has become a severe
phenomenon. It has affected around 15 million people annually worldwide. Methods of …

The clinical efficacy of neurofeedback is still a matter of debate. This paper analyzes the
factors that should be taken into account in a transdisciplinary approach to evaluate the use …