Paper
27 November 2019 Development of upper limb rehabilitation training control system based on path planning
Kai Guo, Shasha Zhao, Yongfeng Liu, Bin Liu, Hongbo Yang
Author Affiliations +
Proceedings Volume 11321, 2019 International Conference on Image and Video Processing, and Artificial Intelligence; 113212F (2019) https://doi.org/10.1117/12.2548770
Event: The Second International Conference on Image, Video Processing and Artifical Intelligence, 2019, Shanghai, China
Abstract
The experience of a large number of hemiplegia clinical rehabilitation treatments shows that the rehabilitation process of hemiplegia patients can be divided into three phases: the acute phase, recovery phase, and sequelae. Different stages of training therapy often need to adopt different training strategies and modes according to clinical characteristics. Through the passive, semi-passive semi-active and active three rehabilitation training methods, the single joint movement and compound movement of the upper limb 7 degrees of freedom can be realized. The three rehabilitation training modes can be applied to the acute, recovery, and sequelae of the patient rehabilitation project, respectively.
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Kai Guo, Shasha Zhao, Yongfeng Liu, Bin Liu, and Hongbo Yang "Development of upper limb rehabilitation training control system based on path planning", Proc. SPIE 11321, 2019 International Conference on Image and Video Processing, and Artificial Intelligence, 113212F (27 November 2019); https://doi.org/10.1117/12.2548770
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KEYWORDS
Control systems

Computer programming

Magnetic sensors

Magnetism

Sensors

Motion controllers

Human-machine interfaces

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