Brain-Computer Interface | BCI | NC State ISE

Brain-computer interface (BCI) is a non-muscular communication and control system that does not depend on the normal pathways of peripheral nerves and muscles (Wolpaw et al., 2000). BCIs allow users, including those with severe motor disabilities (e.g., Amyotrophic lateral sclerosis, ALS), to interact with the world through the use of their brain waves. The electrophysiological signals that BCIs use include steady-state visual evoked potentials (SSVEP, Middendorf, et al., 2000), slow cortical potentials (SCP, Birbaumer, 1997), P300 evoked potentials (Li et al., 2011), sensory motor rhythms (SMR, Neuper, et al., 2009), or cortical neuronal action potentials (Kennedy et al., 2000). As a valuable augmentative communication system, BCI has recently gained considerable research interest, especially in research involving disabled persons, and many useful applications have been discovered. Our lab is devoted to the research and development of Brain-Computer Interface (BCI) to raise awareness of the importance of HF/E involvement in the emerging field of BCI technology.