Research progress about brain-computer interface technology based on cognitive brain areas and its applications in rehabilitation.
10.7507/1001-5515.201711013
- Author:
Huilin ZHOU
1
,
2
;
Jialin XU
3
;
Changcheng SHI
3
;
Guokun ZUO
3
Author Information
1. Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang 315201, P.R.China
2. University of Chinese Academy of Sciences, Beijing 100049, P.R.China.
3. Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang 315201, P.R.China.
- Publication Type:Journal Article
- Keywords:
brain-computer interface;
cognitive brain signals;
multiple hybrid brain areas;
rehabilitation medicine;
single brain area
- From:
Journal of Biomedical Engineering
2018;35(5):799-804
- CountryChina
- Language:Chinese
-
Abstract:
Brain-computer interface (BCI) technology enable humans to interact with external devices by decoding their brain signals. Despite it has made some significant breakthroughs in recent years, there are still many obstacles in its applications and extensions. The current used BCI control signals are generally derived from the brain areas involved in primary sensory- or motor-related processing. However, these signals only reflect a limited range of limb movement intention. Therefore, additional sources of brain signals for controlling BCI systems need to be explored. Brain signals derived from the cognitive brain areas are more intuitive and effective. These signals can be used for expand the brain signal sources as a new approach. This paper reviewed the research status of cognitive BCI based on the single brain area and multiple hybrid brain areas, and summarized its applications in the rehabilitation medicine. It's believed that cognitive BCI technologies would become a possible breakthrough for future BCI rehabilitation applications.
