A method for patient gait real-time monitoring based on powered exoskeleton and digital twin

Wei Huanxia

doi:10.1117/12.2667794

28 March 2023 A method for patient gait real-time monitoring based on powered exoskeleton and digital twin

Wei Huanxia

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125662U (2023) https://doi.org/10.1117/12.2667794
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

Powered exoskeletons are a kind of wearable robotics system attached outside the limbs, providing additional force for the limbs, which plays an important role in limb rehabilitation and patient assistance. As the patient gradually recovers, the patient’s gait will change over time. Therefore, the author hopes to get real-time gait data from patients in order to provide medical guidance and help the patients recover better. Inspired by the real-time monitoring of industrial robots, the author puts forward a method of medical monitoring using digital twin onto powered exoskeletons. For cost reasons, the author uses commercially available sensors to build this system. Further, the author fabricates a demonstration system for the exoskeleton to achieve this goal together with collecting and analyzing the data.

Citation Download Citation

Wei Huanxia "A method for patient gait real-time monitoring based on powered exoskeleton and digital twin", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125662U (28 March 2023); https://doi.org/10.1117/12.2667794

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