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Telerobotic Operation of Intensive Care Unit Ventilators.
Vagvolgyi, Balazs P; Khrenov, Mikhail; Cope, Jonathan; Deguet, Anton; Kazanzides, Peter; Manzoor, Sajid; Taylor, Russell H; Krieger, Axel.
  • Vagvolgyi BP; Laboratory for Computational Sensing and Robotics, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States.
  • Khrenov M; Department of Mechanical Engineering, A. James Clark School of Engineering, University of Maryland, College Park, MD, United States.
  • Cope J; Anaesthesia and Critical Care Medicine, Johns Hopkins Hospital, Baltimore, MD, United States.
  • Deguet A; Laboratory for Computational Sensing and Robotics, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States.
  • Kazanzides P; Laboratory for Computational Sensing and Robotics, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States.
  • Manzoor S; Anaesthesia and Critical Care Medicine, Johns Hopkins Hospital, Baltimore, MD, United States.
  • Taylor RH; Laboratory for Computational Sensing and Robotics, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States.
  • Krieger A; Laboratory for Computational Sensing and Robotics, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, United States.
Front Robot AI ; 8: 612964, 2021.
Article in English | MEDLINE | ID: covidwho-1305708
ABSTRACT
Since the first reports of a novel coronavirus (SARS-CoV-2) in December 2019, over 33 million people have been infected worldwide and approximately 1 million people worldwide have died from the disease caused by this virus, COVID-19. In the United States alone, there have been approximately 7 million cases and over 200,000 deaths. This outbreak has placed an enormous strain on healthcare systems and workers. Severe cases require hospital care, and 8.5% of patients require mechanical ventilation in an intensive care unit (ICU). One major challenge is the necessity for clinical care personnel to don and doff cumbersome personal protective equipment (PPE) in order to enter an ICU unit to make simple adjustments to ventilator settings. Although future ventilators and other ICU equipment may be controllable remotely through computer networks, the enormous installed base of existing ventilators do not have this capability. This paper reports the development of a simple, low cost telerobotic system that permits adjustment of ventilator settings from outside the ICU. The system consists of a small Cartesian robot capable of operating a ventilator touch screen with camera vision control via a wirelessly connected tablet master device located outside the room. Engineering system tests demonstrated that the open-loop mechanical repeatability of the device was 7.5 mm, and that the average positioning error of the robotic finger under visual servoing control was 5.94 mm. Successful usability tests in a simulated ICU environment were carried out and are reported. In addition to enabling a significant reduction in PPE consumption, the prototype system has been shown in a preliminary evaluation to significantly reduce the total time required for a respiratory therapist to perform typical setting adjustments on a commercial ventilator, including donning and doffing PPE, from 271 to 109 s.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study Language: English Journal: Front Robot AI Year: 2021 Document Type: Article Affiliation country: Frobt.2021.612964

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study Language: English Journal: Front Robot AI Year: 2021 Document Type: Article Affiliation country: Frobt.2021.612964