基于背部特征识别的智能背拍排痰机器人设计

2022 IEEE International Conference on Robotics and Biomimetics (ROBIO) Pub Date : 2022-12-05 DOI:10.1109/ROBIO55434.2022.10011775

Diansheng Chen, Yue Pan, Yuanhai Huang, Min Wang, Renren Bao, Chunxia Tang

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引用次数: 0

摘要

在新冠肺炎疫情蔓延的情况下，全球医疗资源严重短缺。作为呼吸系统疾病的常用护理方式，背拍痰排虽然可以用于肺部疾病的护理，但需要多名医护人员的配合，导致护理效率低下。本文设计了一种基于YOLOv5的人体背部特征识别方法，并在此基础上构建了一种新型的智能背拍痰排痰机器人，可以辅助护理人员完成对患者的背拍痰排痰护理，降低了工作人员的劳动强度和交叉感染的风险。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Design of an Intelligent Robot for Back-Slap Sputum Excretion Based on Back Feature Recognition

Under the circumstance of COVID-19 epidemic spread, global medical resources are in serious shortage. As a common way of care for respiratory diseases, although back-slap sputum excretion can be used for the care of lung diseases, but it requires the cooperation of multiple medical staff, and lead to inefficient care. This paper designed a method of the human” s back feature recognition based on YOLOv5, and built a new type of intelligent robot for back-slap sputum excretion on this basis, which can assist care staff to complete the back-slap sputum excretion care for patients, and reduce the labor intensity of staff and the risk of cross infection.

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2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)

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