DocumentCode
1898069
Title
Need for knowledge-based subsystem in evoked potential neural-net recognition system
Author
Bruha, Ivan ; Madhavan, Gopal P.
Author_Institution
McMaster Univ., Hamilton, Ont., Canada
fYear
1989
fDate
9-12 Nov 1989
Firstpage
2042
Abstract
A decision-support system for neurological diagnoses is described. The evoked-potential waveforms are analyzed by a syntax pattern recognition algorithm that returns a list of numerical features. The second processing step includes a neural net (two-layer perception) that processes the list of numerical features. Methods of incorporating a knowledge-based subsystem in the evoked-potential recognition system in order to obtain more reliable results are analyzed
Keywords
bioelectric potentials; knowledge based systems; neural nets; patient diagnosis; waveform analysis; decision-support system; evoked potential neural-net recognition system; knowledge-based subsystem; neurological diagnoses; numerical features list; syntax pattern recognition algorithm; Biological neural networks; Diseases; Humans; Knowledge acquisition; Knowledge based systems; Multiple sclerosis; Pattern recognition; Signal processing; Testing; Time of arrival estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location
Seattle, WA
Type
conf
DOI
10.1109/IEMBS.1989.96585
Filename
96585
Link To Document