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      COVID-19 Pandemic Spurs Medical Telerobotic Systems: A Survey of Applications Requiring Physiological Organ Motion Compensation

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          Abstract

          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.

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          Most cited references63

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          The management of respiratory motion in radiation oncology report of AAPM Task Group 76.

          This document is the report of a task group of the AAPM and has been prepared primarily to advise medical physicists involved in the external-beam radiation therapy of patients with thoracic, abdominal, and pelvic tumors affected by respiratory motion. This report describes the magnitude of respiratory motion, discusses radiotherapy specific problems caused by respiratory motion, explains techniques that explicitly manage respiratory motion during radiotherapy and gives recommendations in the application of these techniques for patient care, including quality assurance (QA) guidelines for these devices and their use with conformal and intensity modulated radiotherapy. The technologies covered by this report are motion-encompassing methods, respiratory gated techniques, breath-hold techniques, forced shallow-breathing methods, and respiration-synchronized techniques. The main outcome of this report is a clinical process guide for managing respiratory motion. Included in this guide is the recommendation that tumor motion should be measured (when possible) for each patient for whom respiratory motion is a concern. If target motion is greater than 5 mm, a method of respiratory motion management is available, and if the patient can tolerate the procedure, respiratory motion management technology is appropriate. Respiratory motion management is also appropriate when the procedure will increase normal tissue sparing. Respiratory motion management involves further resources, education and the development of and adherence to QA procedures.
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            Bilateral teleoperation: An historical survey

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              Impedance Control: An Approach to Manipulation: Part II—Implementation

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                Author and article information

                Contributors
                Journal
                Front Robot AI
                Front Robot AI
                Front. Robot. AI
                Frontiers in Robotics and AI
                Frontiers Media S.A.
                2296-9144
                09 November 2020
                2020
                09 November 2020
                : 7
                : 594673
                Affiliations
                [1] 1College of Control Science and Engineering, Zhejiang University , Hangzhou, China
                [2] 2Department of Electrical and Computer Engineering, University of Alberta , Edmonton, AB, Canada
                Author notes

                Edited by: Bin Fang, Tsinghua University, China

                Reviewed by: Haiyuan Li, Beijing University of Posts and Telecommunications (BUPT), China; Zhen Deng, University of Hamburg, Germany

                *Correspondence: Mahdi Tavakoli mahdi.tavakoli@ 123456ualberta.ca

                This article was submitted to Biomedical Robotics, a section of the journal Frontiers in Robotics and AI

                Article
                10.3389/frobt.2020.594673
                7805782
                33501355
                321ae0c4-40f2-407b-82ec-6c0609761ef7
                Copyright © 2020 Cheng and Tavakoli.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 14 August 2020
                : 14 October 2020
                Page count
                Figures: 1, Tables: 1, Equations: 0, References: 64, Pages: 9, Words: 7211
                Funding
                Funded by: Natural Sciences and Engineering Research Council of Canada 10.13039/501100000038
                Categories
                Robotics and AI
                Mini Review

                covid-19,healthcare,physical distancing,teleoperation,telerobotics,telemedicine,motion compensation,robot control

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