TY - GEN
T1 - Design of Remote Operating System for Touch-Control Medical Monitoring Equipment in ICU
AU - Ma, Yiming
AU - Huang, Junhui
AU - Duan, Xingguang
AU - Li, Changsheng
AU - Li, Jianxi
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - The COVID-19 pandemic has significantly affected the global community, imposing high demands on frontline medical professionals. A critical challenge is to enhance the safety of these workers while keeping medical operations efficient. To tackle this, we developed a Remote Operating System (ROS) for touch-controlled medical monitoring devices in ICU, comprising a client-side user interface and a server-side Remote Interaction Platform (RIP). The ROS is versatile, and compatible with various touch-screen-controlled hospital monitoring devices, enabling remote real-time monitoring and control via the client interface. Tested on a ventilator in an ICU, the ROS showed remarkable convenience. The process—from launching the client interface and adjusting the video stream to completing operations—takes under a minute. Furthermore, it reaches high accuracy, demonstrating the system’s reliability and its potential to minimize infection risks and alleviate the work pressure on healthcare workers in high-stress ICU environments.
AB - The COVID-19 pandemic has significantly affected the global community, imposing high demands on frontline medical professionals. A critical challenge is to enhance the safety of these workers while keeping medical operations efficient. To tackle this, we developed a Remote Operating System (ROS) for touch-controlled medical monitoring devices in ICU, comprising a client-side user interface and a server-side Remote Interaction Platform (RIP). The ROS is versatile, and compatible with various touch-screen-controlled hospital monitoring devices, enabling remote real-time monitoring and control via the client interface. Tested on a ventilator in an ICU, the ROS showed remarkable convenience. The process—from launching the client interface and adjusting the video stream to completing operations—takes under a minute. Furthermore, it reaches high accuracy, demonstrating the system’s reliability and its potential to minimize infection risks and alleviate the work pressure on healthcare workers in high-stress ICU environments.
KW - intensive care unit
KW - Medical robots and systems
KW - telerobotics and teleoperation
UR - http://www.scopus.com/inward/record.url?scp=85219182836&partnerID=8YFLogxK
U2 - 10.1007/978-981-96-0777-8_5
DO - 10.1007/978-981-96-0777-8_5
M3 - Conference contribution
AN - SCOPUS:85219182836
SN - 9789819607761
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 55
EP - 70
BT - Intelligent Robotics and Applications - 17th International Conference, ICIRA 2024, Proceedings
A2 - Lan, Xuguang
A2 - Mei, Xuesong
A2 - Jiang, Caigui
A2 - Zhao, Fei
A2 - Tian, Zhiqiang
PB - Springer Science and Business Media Deutschland GmbH
T2 - 17th International Conference on Intelligent Robotics and Applications, ICIRA 2024
Y2 - 31 July 2024 through 2 August 2024
ER -