Advances in brain science and computer technology in the past decade have led to exciting
developments in brain–computer interface (BCI), thereby making BCI a top research area in …

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 …

Brain-computer interface (BCI) technologies aim to provide a bridge between the human
brain and external devices. Prior research using non-invasive BCI to control virtual objects …

Goal: Sensorimotor-based brain–computer interfaces (BCIs) have achieved successful
control of real and virtual devices in up to three dimensions; however, the traditional sensor …

ABSTRACT A decade ago, a group of researchers from academia and industry identified a
dichotomy between the industrial and academic state-of-the-art in upper-limb prosthesis …

The common spatial patterns (CSP) algorithm is the most popular spatial filtering method
applied to extract electroencephalogram (EEG) features for motor imagery (MI) based brain …

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 …

Emerging brain technologies have significantly transformed human life in recent decades.
For instance, the closed-loop brain-computer interface (BCI) is an advanced software …

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 …

This study demonstrates the feasibility of detecting motor intent from brain activity of chronic
stroke patients using an asynchronous electroencephalography (EEG)-based brain machine …