脑机接口研究进展

Electroencephalogram (EEG) is an efficient tool in exploring human brains. It plays a very important role in development of new interaction techniques between machines and human beings, namely, brain-computer interfaces (BCI). The purpose of this review is to illustrate most recent researches in EEG-based brain computer interfaces. First, two BCI paradigms, including motor imagery and steady-state motion visual evoked potentials (SSMVEP) produced by oscillating Newton's rings are introduced. After that, BCI systems including wheelchair controlling and electronic car navigation are elaborated. As a new technique to control equipments, BCI has promising potentials in rehabilitation of disorders in central nervous system such as stroke and spinal cord injury, treatment of attention deficit hyperactivity disorder (ADHD) in children, and development of novel games such as brain-controlled auto racings.