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 …

The electroencephalogram (EEG) was invented almost 100 years ago and is still a method
of choice for many research questions, even applications—from functional brain imaging in …

We show that persons with spinal cord injury (SCI) retain decodable neural correlates of
attempted arm and hand movements. We investigated hand open, palmar grasp, lateral …

Brain-computer interfaces (BCIs) have the potential to improve functionality in chronic stoke
patients when applied over a large number of sessions. Here we evaluated the effect and …

Objective. Mobile Brain/Body Imaging (MoBI) frameworks allowed the research community
to find evidence of cortical involvement at walking initiation and during locomotion. However …

Brain-computer interface (BCI) is a rapidly evolving technology that has the potential to
widely influence research, clinical and recreational use. Non-invasive BCI approaches are …

The movement‐related cortical potential (MRCP) is a low‐frequency negative shift in the
electroencephalography (EEG) recording that takes place about 2 seconds prior to voluntary …

BACKGROUND: Motor paralysis after stroke has devastating consequences for the patients,
families and caregivers. Although therapies have improved in the recent years, traditional …

An important challenge in develo** a movement-related cortical potential (MRCP)-based
brain-machine interface (BMI) is an accurate decoding of the user intention for real-world …

Non-invasive brain-computer interface (BCI) has been developed for recognizing and
classifying human mental states with high performances. Specifically, classifying pilots' …