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Intelligent monitoring system for absolute hypovolemia in anesthesia
Authors:YU Wei and ZENG Xiao-ping
Institution:College of Communication Engineering,Chongqing University, Chongqing 400044, P.R.China;Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, Yunnan, P.R. China;College of Communication Engineering,Chongqing University, Chongqing 400044, P.R.China
Abstract:Patient monitoring in the operating theatre requires a high level of vigilance by anesthetists. The aim of this paper is to report the design of a clinically useful diagnostic system called real-time smart alarms for absolute hypovolemia in anesthesia monitoring (RTSAAM). The system provides decision support to the anesthetist by presenting the diagnostic results on an integrative, ergonomic display that is hoped to enhance patient safety. The performance of the system is assessed by both offline testing and real-time testing in the operation theatre. When detecting absolute hypovolemia (AHV) a satisfactory level of agreement (up to 81%) is observed between RTSAAM and the anesthetist.
Keywords:anesthesiology  intelligent monitoring  blood pressure  absolute hypovolemia
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