DocumentCode :
2549815
Title :
Knowledge-based signal understanding
Author :
Glover, J.R. ; Jansen, B.H. ; Dawant, B.M. ; Raghavan, N. ; Ktonas, P.Y.
Author_Institution :
Dept. of Electr. Eng., Houston Univ., TX, USA
fYear :
1988
fDate :
7-9 June 1988
Firstpage :
2367
Abstract :
The authors describe a coupled system for knowledge-based signal understanding. This system maintains two separate, collaborating knowledge bases, one for the signal analysis knowledge and one for the domain specific knowledge. An object-oriented approach is followed to ease the knowledge representation for both fields of expertise. A vocabulary (or language) is provided to facilitate interaction between the two experts and the two knowledge bases. This same language contains elements to express spatial and temporal relationships and to provide adaptation of object descriptors as the analysis progresses. Following the approach described here, the authors have developed two prototype application systems, for EEG analysis.<>
Keywords :
computerised signal processing; knowledge based systems; EEG analysis; coupled system; domain specific knowledge; knowledge bases; knowledge representation; knowledge-based signal understanding; object-oriented approach; prototype application systems; signal analysis knowledge; vocabulary; Collaboration; Decision making; Electroencephalography; Frequency; Knowledge representation; Monitoring; Signal analysis; Signal processing; Signal processing algorithms; Surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1988., IEEE International Symposium on
Conference_Location :
Espoo, Finland
Type :
conf
DOI :
10.1109/ISCAS.1988.15419
Filename :
15419
Link To Document :
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