The research status and development trends of brain-computer interfaces in medicine.
10.7507/1001-5515.202303038
- Author:
Qi CHEN
1
;
Tianwei YUAN
2
;
Liwen ZHANG
2
;
Jin GONG
3
;
Lu FU
4
;
Xue HAN
4
;
Meihua RUAN
2
;
Zhenhang YU
1
Author Information
1. China National Center for Biotechnology Development, Beijing 100039, P. R. China.
2. Shanghai Information Center for Life Sciences, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, P. R. China.
3. Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, P. R. China.
4. Chinese Neuroscience Society, Shanghai 200032, P. R. China.
- Publication Type:Journal Article
- Keywords:
Brain-computer interfaces;
Development trends;
Medical application;
Research status
- MeSH:
Humans;
Brain-Computer Interfaces;
Medicine;
Algorithms;
Artificial Intelligence;
Brain
- From:
Journal of Biomedical Engineering
2023;40(3):566-572
- CountryChina
- Language:Chinese
-
Abstract:
Brain-computer interfaces (BCIs) have become one of the cutting-edge technologies in the world, and have been mainly applicated in medicine. In this article, we sorted out the development history and important scenarios of BCIs in medical application, analyzed the research progress, technology development, clinical transformation and product market through qualitative and quantitative analysis, and looked forward to the future trends. The results showed that the research hotspots included the processing and interpretation of electroencephalogram (EEG) signals, the development and application of machine learning algorithms, and the detection and treatment of neurological diseases. The technological key points included hardware development such as new electrodes, software development such as algorithms for EEG signal processing, and various medical applications such as rehabilitation and training in stroke patients. Currently, several invasive and non-invasive BCIs are in research. The R&D level of BCIs in China and the United State is leading the world, and have approved a number of non-invasive BCIs. In the future, BCIs will be applied to a wider range of medical fields. Related products will develop shift from a single mode to a combined mode. EEG signal acquisition devices will be miniaturized and wireless. The information flow and interaction between brain and machine will give birth to brain-machine fusion intelligence. Last but not least, the safety and ethical issues of BCIs will be taken seriously, and the relevant regulations and standards will be further improved.
