Abstract
This paper introduces the simulation and research of an evaluation system for visualization display and scalar analysis of the user’s upper limb rehabilitation effect. The system uses a hardware network with micro inertial sensors to obtain the dynamic parameters of the user’s upper limb movement, and uses some research methods of multi-body dynamics to simulate the evaluation system. There is a one-to-one correspondence between the dynamic parameters obtained through the hardware network and the human upper limb bone nodes. According to the dynamic parameter values, the physical model of the human upper limb multi-body system is established, and then the mathematical model is established according to the physical model, that is, the dynamic parameters are transformed into the parameter model of rehabilitation medicine through mathematical methods. Through this method, it is expressed more comprehensively that the user’s upper limb rehabilitation process, and it is more objective that the rehabilitation training evaluation based on the fully quantitatively evaluation scale. The system can reproduce the visual training process combined with mathematical function curves and key node values, selectively highlight key parts and multi-angle expression of the whole. In order to better complete the quantitative analysis and evaluation of the user’s rehabilitation training, it combines the quantitative evaluation scale given by the rehabilitation physician and the corresponding feature value in the mathematical model of the multi-body system and uses weighted calculation to score the objectiveness.
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The study was supported by Key projects of national key research and development plan (2017YFF0207400): Research on key technologies and important standards of health services and remote health monitoring for the elderly and the disabled.
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Chen, L., Li, Y., Han, L., Yuan, L., Sun, Y., Tang, X. (2020). Simulation and Research of Upper Limb Rehabilitation Evaluation System Based on Micro Inertial Sensor Network. In: Elderly Health Services and Remote Health Monitoring. SpringerBriefs in Applied Sciences and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-15-7154-1_3
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DOI: https://doi.org/10.1007/978-981-15-7154-1_3
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