Document Detail


Computerized interpretation of the paced ECG.
MedLine Citation:
PMID:  1552248     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Analysis of the paced electrocardiogram (ECG) is important to the follow-up evaluation of patients with implanted pacemakers. Because of the complexity and variability of pacemaker algorithms, diagnosis of paced ECGs is often considerably more difficult than the interpretation of usual ECGs. Automated interpretation of the paced ECG can provide great clinical benefit because few clinicians are adequately trained in the diagnosis of such ECGs for the interpretation of pacemaker functionality. However, comparatively little work has been done in this area, mainly because the diversity and complexity of pacemaker logic makes interpretation, automated or manual, a difficult task. The following paper reviews research in computer interpretation of the pacemaker ECG and presents a new automated method which yields more detailed and accurate results than any previous technique.
Authors:
S E Greenhut; J M Jenkins; L A DiCarlo
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Journal of electrocardiology     Volume:  24 Suppl     ISSN:  0022-0736     ISO Abbreviation:  J Electrocardiol     Publication Date:  1992  
Date Detail:
Created Date:  1992-04-24     Completed Date:  1992-04-24     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0153605     Medline TA:  J Electrocardiol     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  146-52     Citation Subset:  IM    
Affiliation:
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor.
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Artifacts
Electrocardiography / methods*
Equipment Failure
Humans
Pacemaker, Artificial*
Signal Processing, Computer-Assisted*

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


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