Document Detail


Time-frequency analysis for arrhythmia discrimination using human atrium electrogram.
MedLine Citation:
PMID:  17946473     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Detection methods for atrial tachycardia and fibrillation on the time axis have the advantages of light operational load and are easy to apply to various applications. Despite these advantages, arrhythmia detection algorithm on the time axis cannot stand much noise such as motion artifacts, moreover the peak detection algorithm has high complexity. In this paper, we use a spectrum analysis method for the detection of atrial tachycardia and fibrillation. By applying spectrum analysis and digital filtering on obtained electrogram signals, we can diagnose cardiac arrhythmia without using peak detection algorithm.
Authors:
Hangsik Shin; Chungkeun Lee; Benjamin Youngmin Choo; Myoungho Lee
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Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  1     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2006  
Date Detail:
Created Date:  2007-10-23     Completed Date:  2008-03-17     Revised Date:  2014-08-21    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1690-3     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Atrial Fibrillation / diagnosis*,  physiopathology
Computer Systems
Diagnosis, Computer-Assisted / methods*
Discriminant Analysis
Electrocardiography / methods*
Heart Rate*
Humans
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted
Tachycardia, Ectopic Atrial / diagnosis*,  physiopathology*
Time Factors

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


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