Document Detail


SVD-based on-line exercise ECG signal orthogonalization.
MedLine Citation:
PMID:  10097466     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
An orthogonalization method to eliminate unwanted signal components in standard 12-lead exercise electrocardiograms (ECG's) is presented in this work. A singular-value-decomposition-based algorithm is proposed to decompose the signal into two time-orthogonal subspaces; one containing the ECG and the other containing artifacts like baseline wander and electromyogram. The method makes use of redundancy in 12-lead ECG. The same method is also tested for reconstruction of a completely lost channel. The online implementation of the method is given. It is observed that the first two decomposed channels with highest energy are sufficient to reconstruct the ST-segment and J-point. The dimension of the signal space, on the other hand, does not exceed three. Data from 23 patients, with duration ranging from 9 to 21 min, are used.
Authors:
B Acar; H Köymen
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  IEEE transactions on bio-medical engineering     Volume:  46     ISSN:  0018-9294     ISO Abbreviation:  IEEE Trans Biomed Eng     Publication Date:  1999 Mar 
Date Detail:
Created Date:  1999-04-13     Completed Date:  1999-04-13     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0012737     Medline TA:  IEEE Trans Biomed Eng     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  311-21     Citation Subset:  IM    
Affiliation:
Electrical and Electronics Engineering Department, Bilkent University, Ankara, Turkey.
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Electrocardiography*
Exercise Test / methods*
Humans
Linear Models
Microcomputers
Signal Processing, Computer-Assisted*
Software Design

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


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