设计和开发虚拟医生机器人,用于COVID-19期间患者的非接触式监测

Amrita Rai, Krishanu Kundu, Rahul Dev, Jayshankar Prasad Keshari, Dhananjay Gupta
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摘要

本文的主要目标是设计和开发一种虚拟医生机器人(VDR),该机器人将通过新技术AI和物联网,根据远离患者的实际医生的命令进行操作。在COVID-19期间,医生不可能随时随地都在,特别是在印度的偏远地区。因此,在紧急情况下,许多病人失去了他们的生命,因为他们不能按时到达医院或医生不能及时到场。在这种情况下,虚拟医生机器人通过机器学习算法进行实时数据处理,在医疗保健中发挥着至关重要的作用。在这篇论文中,技术创新创造了新的机会,通过使用机器人来提高医生的无接触服务,机器人可以帮助病人处理他们的疾病并提供解决方案。虚拟医生机器人可以通过提供更精确的解决方案来满足患者,从而使医疗保健受益。本文提出的虚拟医生机器人设计可以在COVID-19等任何大流行期间抢救偏远地区的患者。通过这个虚拟医生机器人,医生可以通过视频通话与患者进行观察和交流,并通过扫描仪开出必要的药物。拟议中的VDR将帮助医生通过安装在机器人结构中的不同传感器检查患者的脉搏、体温、心率等,并通过Wi-Fi网络发送数据。医生将使用基于物联网的面板来控制和监控机器人和患者。医生发送给VDR的控制命令是在线发送的,然后机器人控制器接收这些命令。VDR还展示了其他功能,比如提醒电池状态,提醒人们电池需要充电。它还通过云网络存储与诊断患者相关的数据。VDR的框架是基于一辆四轮驱动的自动车辆,医生和VDR之间的通信是通过互联网实时进行的。本文还讨论了虚拟医生机器人在医疗领域的未来趋势,类人机器人在外科手术中的帮助,以及医疗领域的其他活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and development Virtual Doctor Robot for contactless monitoring of patients during COVID-19
The main objective of this paper is to design and develop a virtual doctor robot (VDR) that will operate on the command of the actual doctor available far away from the patient through new technology AI and IoT. It is not possible for doctors to be present everywhere and every time, especially in remote areas of India during COVID-19. As a result, in an emergency, many patients lose their lives because they couldn’t reach the hospital on time or the doctor couldn’t be available on time. In such a situation, virtual doctor robots play a vital role in healthcare with real-time data processing with machine learning algorithms. In this paper, technological innovation has created new opportunities to enhance doctor services without contact using robots that can assist patients in dealing with their illnesses and providing solutions. Virtual doctor robots can benefit healthcare by satisfying patients with more precise solutions. The virtual doctor robot design presented in this paper can rescue patients in remote areas during any pandemic like COVID-19. Through this virtual doctor robot, the doctors can observe and communicate with the patients through video calls and prescribe necessary medicines through scanner. The proposed  VDR will help the doctors check the patient's pulse, body temperature, heart rate, etc. through different sensors mounted in the robot structure and send that data using the Wi-Fi network. The doctors will use an IoT-based panel to control and monitor the robot and patients. The control commands that are sent by the doctor to the VDR are sent online and the robot controller then receives these commands. The VDR also showcases other functions like alerting the battery status to remind one that the battery needs to be charged. It also stores the data related to diagnosed patients through cloud networking. The framework of VDR is based on an automated vehicle with a four-wheel drive for its movement and communication between the doctor and VDR is in real-time through the internet. This paper also discusses the future trends of Virtual Doctor robots for the health sector, humanoid robots for surgical help, and other activities of the healthcare sector.
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