Xiaogang Chen, PhD | Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College; Hongyan Cui, PhD; Zexin Pang, MD; Yiming Shao, MD; Ruoqing Zhang, MD
Competition Sponsor: Chinese Academy of Medical Sciences
Awardee Year: 2024
Stroke has become the leading cause of death and disability among adults in my country. The difficulty in reconstructing fine motor skills of the hand has become an international problem in the field of stroke motor function rehabilitation, which has caused a serious burden on families and society. About 20% to 30% of stroke patients are unable to undergo compulsory exercise therapy or other rehabilitation methods due to severe limb motor dysfunction on the affected side. The closed-loop motor rehabilitation training system based on brain-computer interface (BCI) provides a new way to improve the level of motor rehabilitation and is one of the important development directions in the field of neurorehabilitation in the future.
This project aims to develop an intelligent rehabilitation system for hand function based on BCI, carry out technical application verification for neurorehabilitation scenarios, realize a highly comfortable and fast-response neurorehabilitation system, improve the reorganization or compensation of the patient’s brain nerve conduction function, promote the recovery of motor function and somatic sensory function, and improve the level of motor function rehabilitation. recovery of motor function and somatic sensory function, and improve the level of motor function rehabilitation.