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

Summary Many Brain Computer Interface (BCI) and neurofeedback studies have
investigated the impact of sensorimotor rhythm (SMR) self-regulation training procedures on …

Stroke is among the leading causes of long-term disabilities leaving an increasing number
of people with cognitive, affective and motor impairments depending on assistance in their …

Noninvasive brain–machine interfaces (BMIs) are typically associated with neuroprosthetic
applications or communication aids developed to assist in daily life after loss of motor …

The extent to which humans can interact with machines significantly enhanced through
inclusion of speech, gestures, and eye movements. However, these communication …

Stroke is one of the leading causes for severe adult long-term disability. The number of
people who depend on assistance in their daily life activities has drastically increased over …

Neurological impairments are often difficult to treat due to our relatively limited knowledge
regarding the brain and the complexity of its systems. Systems neuroscience is a …

Since the invention of electroencephalography (EEG) by Hans Berger (1929) in a quest for
the substrates of mental activity, the idea of deciphering the underlying code to read out …

Several clinical trials indicate that ipsilesional brain-computer or brain-machine interface
(BCI/BMI) training coupled with behavioral physiotherapy can facilitate motor recovery after …

During the last decades, the course of multiple sclerosis (MS) has profoundly changed.
Incidental findings suggestive of MS can be found in individuals without any clinical …