DocumentCode :
1982044
Title :
Scalar fuzzy logic a new mathematic model for approximate reasoning
Author :
Mlynski, M.F. ; Ameling, W.
Author_Institution :
CWA GmbH, Aachen, Germany
Volume :
4
fYear :
2001
fDate :
2001
Firstpage :
3863
Abstract :
Atrial and ventricular tachycardia are typically treated with Implantable Cardioverter Defibrillators (ICDs). Current dual-chamber ICDs have over 200 parameters, which have to be set all properly to ensure an accurate ICD programming. Since this is a time-consuming procedure, an expert-system to calculate a complete set of ICD parameters based on the given clinical patient-data was developed, where the expert knowledge was acquired and implemented into a knowledge base in cooperation with cardiologist physicians.
Keywords :
defibrillators; fuzzy logic; medical expert systems; approximate reasoning; cardiologist physicians; clinical patient-data; expert knowledge; implantable cardioverter defibrillators; mathematic model; parameters calculation system; scalar fuzzy logic; Cardiology; Computer science; Costs; Expert systems; Fuzzy logic; Fuzzy sets; Humans; Knowledge representation; Mathematical model; Mathematics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
ISSN :
1094-687X
Print_ISBN :
0-7803-7211-5
Type :
conf
DOI :
10.1109/IEMBS.2001.1019683
Filename :
1019683
Link To Document :
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