Tran Hoang T, Tran Dong Tl, Nguyen Minh T, Vu Thang C
Center of Electrical Engineering, Duy Tan University, Da Nang, 550000, Viet Nam.
Faculty of Electrical-Electronic Engineering, Duy Tan University, Da Nang, 550000, Viet Nam.
MethodsX. 2024 Sep 4;13:102941. doi: 10.1016/j.mex.2024.102941. eCollection 2024 Dec.
This paper provides a novel and applicable work that builds a real system for disinfecting the air and surfaces of the environment in a hospital room, with a non-contact measurement system for supporting contagious disease treatments in hospitals. The system is built on an intelligent mobile robot system that operates autonomously in a simulated real treatment room. The research team uses a new positioning algorithm. It is a combination of data from the Lidar sensor, encoder, and Extended Kalman filter. The program that applies segmentation and image feature extraction algorithms is developed to meet requirements of real-time environment mapping in the room. Control algorithms for moving and avoiding obstacles are also proposed. Next, techniques for collecting health data including patient identification, body temperature, and blood oxygen index via wireless sensor network are also mentioned in the article. Analysis and experimental results show qualified outcomes and promise. The main contribution of the paper can be listed as follows.•Design and build a new CEE-IMR, an intelligent mobile robot that can regconize patients, guide and lead them walking in hospitals, especially keep a safe distance avoiding contagious deseases.•A novel framework for controlling the robot is proposed. The robot can move flexible, avoid obstacles, etc. based on advanced control algorithms. A new control mechanism is also proposed.•Methods of collecting data and processing medical data to support either patients or doctors to improve the effecency in hospitals in contagious disease management.
本文提供了一项新颖且实用的工作,构建了一个用于医院病房空气和环境表面消毒的实际系统,以及一个用于支持医院传染病治疗的非接触式测量系统。该系统基于一个智能移动机器人系统构建,该机器人在模拟的真实治疗室中自主运行。研究团队使用了一种新的定位算法。它是激光雷达传感器、编码器和扩展卡尔曼滤波器数据的组合。开发了应用分割和图像特征提取算法的程序,以满足房间实时环境映射的要求。还提出了移动和避障控制算法。接下来,文章还提到了通过无线传感器网络收集包括患者识别、体温和血氧指数等健康数据的技术。分析和实验结果显示出合格的成果和前景。本文的主要贡献可列举如下。
•设计并构建了一种新型的CEE-IMR,即一种智能移动机器人,它能够识别患者,引导他们在医院行走,尤其是保持安全距离以避免传染病。
•提出了一种用于控制机器人的新颖框架。该机器人可以基于先进的控制算法灵活移动、避障等。还提出了一种新的控制机制。
•收集数据和处理医疗数据的方法,以支持患者或医生提高医院传染病管理的效率。