The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS
Transactions ID Number: 53-598
Full Name: Hamid Gholamhosseini
Position: Senior Lecturer
Age: ON
Sex: Male
Address: School of Engineering, Private Bag 92006, Auckland 1142
Country: NEW ZEALAND
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E-mail address: hamid.gholamhosseini@aut.ac.nz
Other E-mails: hgholamh@aut.ac.nz
Title of the Paper: Fuzzy Logic Based Smart Anaesthesia Monitoring System in the Operation Theatre
Authors as they appear in the Paper: Mirza Mansoor Baig, Hamid Gholamhosseini AND Michael J. Harrison
Email addresses of all the authors: mirza.baig@aut.ac.nz,hamid.gholamhosseini@aut.ac.nz,michael,harrison@ccdhb.org.nz
Number of paper pages: 12
Abstract: Man has a limited ability to accurately and continuously analyse large amounts of data. In recent years, there has been a rapid growth in patient monitoring and medical data analysis using decision support systems, smart alarm monitoring, expert systems and many other computer aided protocols. The main goals of this study are to enhance the developed diagnostic alarm system for detecting critical events during anaesthesia and to accurately diagnose a hypovolaemia event in anaesthetized patients. The performance of the proposed diagnostic system, fuzzy logic monitoring system-2 (FLMS-2), was validated through a series of off-line tests. When detecting hypovolaemia a substantial level of agreement was observed between FLMS-2 and the human expert and it is shown that system has a better performance with sensitivity of 94%, specificity of 90% and predictability of 72%.
Keywords: Fuzzy logic monitoring, Anaesthesia monitoring, Patient monitoring system, ANFIS, FIS
EXTENSION of the file: .pdf
Special (Invited) Session: Fuzzy Systems and Applications
Organizer of the Session: Nikos E. Mastorakis and Valeri Mladenov
How Did you learn about congress: Fuzzy logic based anaesthesia monitoring system
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