| Computerized interpretation of the paced ECG. | |
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MedLine Citation:
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PMID: 1552248 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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S E Greenhut; J M Jenkins; L A DiCarlo |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. |
Journal Detail:
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Title: Journal of electrocardiology Volume: 24 Suppl ISSN: 0022-0736 ISO Abbreviation: J Electrocardiol Publication Date: 1992 |
Date Detail:
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Created Date: 1992-04-24 Completed Date: 1992-04-24 Revised Date: 2009-11-11 |
Medline Journal Info:
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Nlm Unique ID: 0153605 Medline TA: J Electrocardiol Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 146-52 Citation Subset: IM |
Affiliation:
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Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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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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