Application of brain-computer interface technology based on electroencephalogram in upper limb motor function rehabilitation of stroke patients
- VernacularTitle:基于脑电图的脑机接口技术在脑卒中患者上肢运动功能康复中的应用
- Author:
Ming ZHANG
1
;
Bin WANG
;
Fan JIA
;
Jie CHEN
;
Wei TANG
Author Information
- Keywords: stroke; brain-computer interface; electroencephalogram; upper limb motor function rehabilitation; review
- From: Chinese Journal of Tissue Engineering Research 2024;28(4):581-586
- CountryChina
- Language:Chinese
- Abstract: BACKGROUND:Current rehabilitation programs are effective in treating post-stroke sequelae,but the treatment cycle is long and the labor cost is high.Brain-computer interface technology can be used for the treatment of post-stroke patients by extracting signals from the brain's neural activity through special equipment and converting this signal into commands that can be recognized by a computer. OBJECTIVE:To analyze and summarize the application of brain-computer interface technology in the upper limb motor function rehabilitation of stroke patients in recent years and to explore the clinical value of brain-computer interface technology in the upper limb function rehabilitation of stroke patients. METHODS:CNKI and PubMed were retrieved for relevant literature published from 2000 to 2022.The keywords were"stroke,electroencephalogram,brain-computer interface,upper limb,virtual reality technology,functional electrical stimulation,exoskeleton"in Chinese and"stroke,brain-computer interface,computer assistance,upper limb,virtual reality technology,functional electrical stimulation,exoskeleton"in English. RESULTS AND CONCLUSION:The brain-computer interface has shown promise for the restoration of upper limb motor function in stroke patients and has been shown to produce results that are unattainable with conventional treatments,and is well worth further research and promotion,but the mechanisms have not been fully elucidated.Also the ability to accurately decode all degrees of freedom of upper limb movements to provide flexible and natural control remains a challenge from the perspective of brain-computer interface systems that capture electroencephalogram signals from patients.Future research should focus on clarifying the specific neural mechanisms by which brain-computer interface technology facilitates upper limb motor recovery after stroke and identifying rehabilitation options such as brain-computer interfaces combined with external devices to facilitate upper limb motor function recovery in stroke patients.
