Keywords
BCI, EEG, MI, SSVEP, P300
Abstract
A brain-computer interface (BCI) system can recognize the mental activities pattern by computer algorithms to control the external devices. Electroencephalogram (EEG) is one of the most common used approach for BCI due to the convenience and non-invasive implement. Therefore, more and more BCIs have been designed for the disabled people that suffer from stroke or spinal cord injury to help them for rehabilitation and life. We introduce the common BCI paradigms, the signal processing, and feature extraction methods. Then, we survey the different combined modes of hybrids BCIs and review the design of the synchronous/asynchronous BCIs. Finally, the shared control methods are discussed.
Publisher
Tsinghua University Press
Recommended Citation
Wenchang Zhang, Chuanqi Tan, Fuchun Sun et al. A review of EEG-based brain-computer interface systems design. Brain Science Advances 2018, 04(02): 156-167.
Included in
Biomedical Engineering and Bioengineering Commons, Nervous System Diseases Commons, Neurology Commons, Neuroscience and Neurobiology Commons, Neurosciences Commons, Neurosurgery Commons