By Topic

Knowledge acquisition using a fuzzy machine-learning algorithm for a knowledge-based anesthesia monitor

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
van den Eijkel, G.C. ; Dept. of Electr. Eng., Delft Univ. of Technol., Netherlands ; Backer, E.

This paper discusses a new knowledge-acquisition approach for a knowledge-based anesthesia monitor. Domain knowledge was acquired by expert interviews and used by a fuzzy incremental-learning algorithm to generate rules from observations in the operating room. The rules were used to explain and detect signal patterns which indicated alarm and no-alarm situations

Published in:

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE  (Volume:5 )

Date of Conference:

31 Oct-3 Nov 1996