Cheng Lingbo, Tavakoli Mahdi
College of Control Science and Engineering, Zhejiang University, Hangzhou, China.
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada.
Front Robot AI. 2020 Nov 9;7:594673. doi: 10.3389/frobt.2020.594673. eCollection 2020.
The coronavirus disease 2019 (COVID-19) pandemic has resulted in public health interventions such as physical distancing restrictions to limit the spread and transmission of the novel coronavirus, causing significant effects on the delivery of physical healthcare procedures worldwide. The unprecedented pandemic spurs strong demand for intelligent robotic systems in healthcare. In particular, medical telerobotic systems can play a positive role in the provision of telemedicine to both COVID-19 and non-COVID-19 patients. Different from typical studies on medical teleoperation that consider problems such as time delay and information loss in long-distance communication, this survey addresses the consequences of physiological organ motion when using teleoperation systems to create physical distancing between clinicians and patients in the COVID-19 era. We focus on the control-theoretic approaches that have been developed to address inherent robot control issues associated with organ motion. The state-of-the-art telerobotic systems and their applications in COVID-19 healthcare delivery are reviewed, and possible future directions are outlined.
2019年冠状病毒病(COVID-19)大流行导致了诸如物理距离限制等公共卫生干预措施,以限制新型冠状病毒的传播,这对全球范围内的物理医疗程序实施产生了重大影响。这场史无前例的大流行激发了医疗保健领域对智能机器人系统的强烈需求。特别是,医疗远程机器人系统在为COVID-19患者和非COVID-19患者提供远程医疗方面可以发挥积极作用。与典型的医疗远程操作研究不同,后者考虑诸如远程通信中的时间延迟和信息丢失等问题,本综述探讨了在COVID-19时代使用远程操作系统在临床医生和患者之间创造物理距离时生理器官运动的后果。我们关注已开发的控制理论方法,以解决与器官运动相关的固有机器人控制问题。综述了最先进的远程机器人系统及其在COVID-19医疗保健服务中的应用,并概述了可能的未来发展方向。