Transactions on Neural Systems and Rehabilitation Engineering

Featured Articles
An Event-Driven AR-Process Model for EEG-Based BCIs With Rapid Trial Sequences
     Electroencephalography (EEG) is an effective non-invasive measurement method to infer user intent in brain-computer interface (BCI) systems for control and communication, however, these systems often lack sufficient accuracy and speed due to low separability of class-conditional EEG feature distributions. Many... Read more
Featured Articles
Is EMG a Viable Alternative to BCI for Detecting Movement Intention in Severe Stroke?
EEG-based brain-computer interface (BCI) has been used to detect movement intention in severely affected stroke patients during assisted therapy, but current EEG-BCI systems are not practical for routine clinical use. If detectable in this population, residual EMG in the target... Read more
Featured Articles
Performance Assessment of a Custom, Portable, and Low-Cost Brain-Computer Interface Platform
Conventional brain-computer interfaces (BCIs) are often expensive, complex to operate, and lack portability, which confines their use to laboratory settings. Portable, inexpensive BCIs can mitigate these problems, but it remains unclear whether their low-cost design compromises their performance. Therefore, we... Read more
TBME 60th Anniversary
Brain-Computer Interfaces Using Sensorimotor Rhythms: Current State and Future Perspectives
Han Yuan, Bin He Laureate Institute for Brain Research, Tulsa, Oklahoma, USA; Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota, USA, Volume 61, Issue 5, Page: 1425 – 1435                           ... Read more