Document Detail


Expert systems for implanted pacemaker analysis.
MedLine Citation:
PMID:  3694099     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A computer-based software system has been proposed that will assist clinicians in the often difficult task of analyzing multi-channel pacemaker modified ECGs. The system contains three integrated modules. First, digital signal processing indentifies cardiac events from two sources provided by the latest pacemaker technology, intracardiac atrial and ventricular signals, activity markers, and a surface ECG. Secondly, the pacemaker's functional status at each event is analyzed by a rule-based monitor model of the pacemaker. Thirdly, Expert System (ES) techniques were used to combine the digital signal processing metrics, the pacemaker's functional status at each event, and the programmed parameters stored in the pacemaker's memory with a clinical knowledge base relating known problems and their causes. The domain specific tasks, briefly described here, that were most useful in the implementation of the ES are: data reduction, knowledge acquisition methods, knowledge representation, inferencing, and presentation of results.
Authors:
E D Smith
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of electrocardiology     Volume:  20 Suppl     ISSN:  0022-0736     ISO Abbreviation:  J Electrocardiol     Publication Date:  1987 Oct 
Date Detail:
Created Date:  1988-02-10     Completed Date:  1988-02-10     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0153605     Medline TA:  J Electrocardiol     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  26-8     Citation Subset:  IM    
Affiliation:
Computing Systems Consultant, Miami, FL 33157.
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MeSH Terms
Descriptor/Qualifier:
Electrocardiography*
Expert Systems*
Humans
Pacemaker, Artificial*
Signal Processing, Computer-Assisted*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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