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Fuzzy Logic Approach to Wireless Diagnostic Alarms in Anesthesia

[+] Author Affiliations
D. Benjamin, H. Gholam Hosseini, A. Al-Jumaily

Auckland University of Technology, Auckland, New Zealand

M. J. Harrison

University of Auckland, Auckland, New Zealand

Paper No. IMECE2008-67058, pp. 107-111; 5 pages
doi:10.1115/IMECE2008-67058
From:
  • ASME 2008 International Mechanical Engineering Congress and Exposition
  • Volume 2: Biomedical and Biotechnology Engineering
  • Boston, Massachusetts, USA, October 31–November 6, 2008
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-4863-0 | eISBN: 978-0-7918-3840-2
  • Copyright © 2008 by ASME

abstract

This paper explores the use of a fuzzy logic system to continuously monitor a patient’s vital signs during an operation under anesthesia and evaluate the patient’s physiological state. The proposed systems aims to employ statistical-based alarms, principal component analysis (PCA) together with respiratory associated arterial pressure variation (Pulse Pressure Variation-PPV and Systolic Pressure Variation-SPV) and a new fuzzy logic model to estimate the physiological state of the patient under anesthesia. The fuzzy approach will include the recursive fuzzy inference system (RFIS) which combines the current patient status data with the previous output of the inference system thereby reinforcing the current finding based on previous sequential outputs. In addition to this, work is also aimed at the creation of a wireless module that will provide patient information directly to the system.

Copyright © 2008 by ASME
Topics: Fuzzy logic

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