Abstract
Based on the brain-computer interface is an important way of existing and future medical rehabilitation medicine, based on post-stroke motor rehabilitation plays a very important role, researchers through the study and clinical brain-computer interface experiments and evaluation of the way, can improve 18% the efficiency of rehabilitation. The intention of the movement is converted into electrical signals that the machine can recognize and interact with the body to achieve active control of the patient. A technology that helps patients in the rehabilitation period to regain their motor functions and self-care abilities. In this paper, a brain-machine interface-based upper limb motor rehabilitation training system is designed, which uses brain-machine fusion as the rehabilitation motor therapy model and combines the muscle strength and movement morphology characteristics of the upper limb on the hemiplegic side of the patient. This study is based on the first clinical trial application of this system, and the focus was validated and improved in all six patients who were followed up. This study was designed from the perspective of combining a brain-machine interface system and upper limb rehabilitation assistive robot system, and combined with the human-computer interaction platform to apply this wearable upper limb movement prosthesis for the disabled in clinical trials for rehabilitation training and assistive therapy, providing effective guidance and assistance for patients with such needs. The research results of this paper have been patented and granted.
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Cai, J., Cai, J. (2023). Brain-Machine Based Rehabilitation Motor Interface and Design Evaluation for Stroke Patients. In: Yuan, L., Yang, S., Li, R., Kanoulas, E., Zhao, X. (eds) Web Information Systems and Applications. WISA 2023. Lecture Notes in Computer Science, vol 14094. Springer, Singapore. https://doi.org/10.1007/978-981-99-6222-8_52
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