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
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;
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
DOI :
10.1109/IEMBS.1989.96585
