Abstract
In recent years there has been a rapid growth in patient monitoring and medical data analysis using a number of computer-aided systems based on expert systems, fuzzy logic and many other intelligent techniques. Fuzzy logic-based expert systems have shown potential to improve clinician performance by imitating human thought processes in complex circumstances and accurately executing repetitive tasks to which humans are ill-suited. The main goal of this study was to develop a clinically useful diagnostic alarm system for detecting critical events during anaesthesia administration. The proposed diagnostic alarm system called Fuzzy logic monitoring system (FLMS) is presented. The performance of the system was validated through a series of off-line tests. When detecting hypovolaemia a substantial level of agreement was observed between FLMS and the human expert (the anaesthetist) during surgical procedures.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
