EEG-BASED BRAIN-COMPUTER INTERFACE SYSTEMS

Al-Duhaidahawi Murtadha AhmedLuti, Tomashevskiy Yuliy Boleslavovich

Brain-computer interfaces (BCIs) can recognize patterns of mental activity using various computer algorithms to control external devices. The electroencephalogram (EEG) is the most commonly used for BCI due to its convenience. Therefore, more and more BCIs have been developed for people with disabilities suffering from a stroke or spinal cord injury. We present general BCI models, signal processing approaches, and feature delineation. We then look at the various combined modes of composite BCIs and look at the design of synchronous/asynchronous BCIs. We will also discuss general methods of control.

Keywords:Brain-computer interface, electroencephalogram, support vector machine, error matrix, bionics