NDLI: Evaluation of T-wave morphology dispersion in high-resolution ECG for risk stratification of sudden cardiac death

Content Provider	IEEE Xplore Digital Library
Author	Kania, M. Fereniec, M. Maniewski, R.
Copyright Year	2012
Description	Author affiliation: Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland (Kania, M.; Fereniec, M.; Maniewski, R.)
Abstract	The aim of study was to evaluate the prognostic value of T-wave morphology dispersion (TMD) in high resolution ECG for sudden cardiac death risk assessment. The high-resolution ECG signals were recorded at rest in a electrically shielded room and averaged in time using cross-correlation method. The singular value decomposition was applied to HR ECG signals. Evaluated parameters were defined as the mean angle of all pairs of ECG leads reconstruction base vectors: for whole T wave segment (TMD), T-wave ascending slope (TMDpre), and T-wave descending slope (TMDpost). Sensitivity and specificity of T-wave morphology dispersion descriptors in detection of myocardial infarction patients at risk of ventricular tachycardia (VT) were tested on two groups: 30 pts. with documented VT and 13 pts. without VT. Results of the study show significant differences between VT pts and non VT pts groups for all evaluated parameters. The highest sensitivity and specificity showed TMD parameter which could be sensitive marker of the risk of the sudden cardiac death. The presented results suggest that repolarization dispersion indicators may be used in qualification process to implantable cardioverter-defibrillator therapy.
Starting Page	785
Ending Page	788
File Size	276213
Page Count	4
File Format	PDF
ISBN	9781467320764
ISSN	2325887X
e-ISBN	9781467320771
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-09
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Creative Commons Attribution License 2.5 (CCAL)
Subject Keyword	Electrocardiography Morphology Dispersion Vectors Matrix decomposition Standards Sensitivity and specificity
Content Type	Text
Resource Type	Article
Subject	Computer Science Cardiology and Cardiovascular Medicine

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