Document Detail


A novel methodology for assessing the bounded-input bounded-output instability in QT interval dynamics: application to clinical ECG with ventricular tachycardia.
MedLine Citation:
PMID:  21984490     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The goal of this paper is to present a new methodology for assessing the bounded-input bounded-output (BIBO) stability in QT interval (QTI) dynamics from clinical ECG. The ECG recordings were collected from 15 patients who experienced ventricular tachycardia (VT). Ten-minute-long ECG recordings extracted immediately before the onset of a chosen VT, one per patient, were assembled into a VT group, while the control group comprised 10-min-long ECGs extracted 1 h before VT onset and at least 1 h after any prior arrhythmic event. Each 10-min recording was subdivided into 1-min ECG recordings (minECGs). The QTI dynamics of each minECG was defined as a function of several prior QTIs and RR intervals; the BIBO stability of this function was then assessed in the z -domain. The number of minECGs with unstable QTI dynamics (N (us)) and the frequency of premature activations (PA),  f (PA) , were counted for each ECG recording and were compared between the VT and control groups. The results show that the present methodology successfully captured the instability in QTI dynamics leading to VT onset in the studied population. Significantly larger N (us) was found in the VT group compared against the control and a positive correlation between N (us) and f (PA) was identified in both groups.
Authors:
Xiaozhong Chen; Natalia A Trayanova
Publication Detail:
Type:  Journal Article     Date:  2011-10-06
Journal Detail:
Title:  IEEE transactions on bio-medical engineering     Volume:  59     ISSN:  1558-2531     ISO Abbreviation:  IEEE Trans Biomed Eng     Publication Date:  2012 Aug 
Date Detail:
Created Date:  2012-07-25     Completed Date:  2012-12-17     Revised Date:  2013-06-27    
Medline Journal Info:
Nlm Unique ID:  0012737     Medline TA:  IEEE Trans Biomed Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2111-7     Citation Subset:  IM    
Affiliation:
Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, USA. greatfog@gmail.com
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MeSH Terms
Descriptor/Qualifier:
Action Potentials
Aged
Algorithms
Electrocardiography / methods*
Female
Humans
Male
Middle Aged
Models, Cardiovascular
Signal Processing, Computer-Assisted*
Tachycardia, Ventricular / physiopathology*
Grant Support
ID/Acronym/Agency:
R01 HL082729/HL/NHLBI NIH HHS; R01 HL103428/HL/NHLBI NIH HHS
Comments/Corrections

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


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