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Academic Journal of Medicine & Health Sciences, 2024, 5(3); doi: 10.25236/AJMHS.2024.050301.

Progress in the Application of Brain-computer Interface Technology in Stroke Rehabilitation


Zhang Jiayu1, Ren Xin1, Guo Xiaolan1, Zhang Meixia2

Corresponding Author:
Guo Xiaolan

1School of Nursing, Shaanxi University of Chinese Medicine, Xianyang, China

2Department of Nursing, The First Affiliated Hospital of the Air Force Medical University, Xi’an, China


Stroke patients are often left with different degrees of dysfunction in different aspects, which seriously affects patients' schedule and quality of life. At present, the rehabilitation of stroke patients mainly relies on passive and repetitive training of patients, and the rehabilitation effect is not ideal. brain computer interface is a cutting-edge rehabilitation technology that completely does not rely on peripheral nerves and muscles to interact with the external environment. This technology can interpret the movement intention of patients in real time, establish the connection pathway between the human brain and the machine, and conduct closed-loop feedback training. Trigger the neuroplasticity of the brain, ultimately achieve the purpose of functional rehabilitation of stroke patients, and provide patients with individualized rehabilitation training. This paper reviews the domestic and foreign research progress of brain-computer interface technology in the field of stroke rehabilitation in recent years, expounds the working process and principle of brain-computer interface technology, summarizes its application status in the aspects of stroke limb dysfunction, cognitive impairment, speech impairment and psychological rehabilitation, and finally analyzes its challenges and development trends, with a view to promoting the rapid development of brain-computer interface technology. It provides a new idea for the rehabilitation of stroke patients.


brain-computer interface, Stroke, Rehabilitation nursing, summarize

Cite This Paper

Zhang Jiayu, Ren Xin, Guo Xiaolan, Zhang Meixia. Progress in the Application of Brain-computer Interface Technology in Stroke Rehabilitation. Academic Journal of Medicine & Health Sciences (2024), Vol. 5, Issue 3: 1-5. https://doi.org/10.25236/AJMHS.2024.050301.


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