By Topic

Knowledge-based interpretation of bioelectrical signals

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

3 Author(s)
Glover, J.R., Jr. ; Dept. of Electrical Eng., Houston Univ., TX, USA ; Ktonas, P.Y. ; Jansen, B.H.

The integration into one automated system of the qualitative knowledge of the physician, who is accustomed to visually scanning a paper record, with possibly sophisticated signal analysis tools that must replace the visual scanning is addressed. The automated interpretation of bioelectrical signals must combine signal analysis knowledge with knowledge about the application domain of the signal and, as such, requires the knowledge of two experts. The role of event-oriented interpretation and the use of spatial and temporal context is discussed. An architecture for a system tailored to fit the characteristics of automated bioelectrical signal interpretation is described. It contains two separate, cooperating knowledge bases, and it makes use of object-oriented knowledge representation and spatial and temporal operators. An example of the automated detection of epileptogenic electroencephalograph sharp transients is presented.<>

Published in:

Engineering in Medicine and Biology Magazine, IEEE  (Volume:9 ,  Issue: 1 )