DocumentCode :
3562151
Title :
Electrocardiographic abnormalities of hypertrophic cardiomyopathy
Author :
Minchole, A. ; Ariga, R. ; Neubauer, S. ; Watkins, H. ; Rodriguez, B.
Author_Institution :
Dept. of Comput. Sci., Univ. of Oxford, Oxford, UK
fYear :
2014
Firstpage :
397
Lastpage :
400
Abstract :
Hypertrophic cardiomyopathy (HCM) is a genetic disease characterized by the hypertrophy (thickening) of heart ventricles, and the first cause of sudden cardiac death in the young adults. The ECG is altered in the majority of patients with HCM as a consequence of structural and electrophysiological abnormalities although reliable risk markers are still not available. Fifty four 12-lead Holter recordings (32 HCM patients and 22 controls) have been analyzed in order to obtain specific ECG based biomarkers able to distinguish between both groups. Results showed higher values for HCM in QRS-duration, QT interval (QTc), T peak to T end interval corrected (Tpe) and DRest quantifying dispersion of restitution. Also, morphological features such as ST level, T and QRS amplitudes and energies and the first four Karhunen-Loeve transform (KLT) coefficients were analysed. Results showed statistically significant differences between HCM patients and controls (p-value<;0.02) in the QTc interval, ST level, energies and the first and third KLT coefficients. DRest showed higher values in HCM patients (0.08 versus 0.05 in controls) in agreement with in vivo studies suggesting a correlation between increased dispersion and arrhythmic risk.
Keywords :
Karhunen-Loeve transforms; diseases; electrocardiography; genetics; medical signal processing; 12-lead Holter recordings; DRest; HCM; KLT; Karhunen-Loeve transform coefficients; QRS-duration; QT interval; ST level; T peak -T end interval; arrhythmic risk; biomarkers; electrocardiographic abnormalities; electrophysiological abnormalities; genetic disease; heart ventricle thickening; hypertrophic cardiomyopathy; hypertrophy; morphological features; restitution dispersion; structural abnormalities; sudden cardiac death; Biomarkers; Correlation; Dispersion; Electrocardiography; Heart; Lead; Myocardium;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing in Cardiology Conference (CinC), 2014
ISSN :
2325-8861
Print_ISBN :
978-1-4799-4346-3
Type :
conf
Filename :
7043063
Link To Document :
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