The hand endows us with unparalleled precision and versatility in our interactions with
objects, from mundane activities such as grasping to extraordinary ones such as virtuoso …

Most prosthetic limbs can autonomously move with dexterity, yet they are not perceived by
the user as belonging to their own body. Robotic limbs can convey information about the …

Prosthetic arms controlled by a brain-computer interface can enable people with tetraplegia
to perform functional movements. However, vision provides limited feedback because …

Brain–computer interfaces (BCIs) can restore communication to people who have lost the
ability to move or speak. So far, a major focus of BCI research has been on restoring gross …

Brain-machine interfaces hold promise for the restoration of sensory and motor function and
the treatment of neurological disorders, but clinical brain-machine interfaces have not yet …

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 …

Individuals with spinal cord injury (SCI) can face decades with permanent disabilities.
Advances in clinical management have decreased morbidity and improved outcomes, but …

Over the last few decades, the Brain-Computer Interfaces have been gradually making their
way to the epicenter of scientific interest. Many scientists from all around the world have …

Background Wearable sleep monitors are of high interest to consumers and researchers
because of their ability to provide estimation of sleep patterns in free-living conditions in a …

Deep learning with convolutional neural networks (deep ConvNets) has revolutionized
computer vision through end‐to‐end learning, that is, learning from the raw data. There is …