Title :
Refined multiscale entropy analysis of heart period and QT interval variabilities in long QT syndrome type-1 patients
Author :
Bari, Vlasta ; Valencia, Jose Fernando ; Vallverdu, Montserrat ; Girardengo, Giulia ; Bassani, T. ; Marchi, Andrea ; Calvillo, Laura ; Caminal, Pere ; Cerutti, Sergio ; Brink, Paul A. ; Crotti, Lia ; Schwartz, Peter J. ; Porta, Alberto
Author_Institution :
Dept. of Electron. Inf. & Bioeng., Politec. di Milano, Milan, Italy
Abstract :
This study assesses complexity of cardiovascular control in patients affected by type-1 variant of long QT (LQT1) syndrome. Complexity was assessed by refined multiscale entropy of heart period (HP) and QT interval variabilities. HP was taken as the time distance between two consecutive R peaks (RR) and QT interval was approximated as the time distance between the R-peak and T-wave apex (RTa) and between R-peak and T-wave end (RTe). RR, RTa and RTe intervals were automatically extracted from 24h Holter recordings and the daytime period was analyzed (from 02:00 to 06:00 PM). Non mutation carrier (NMC) individuals (n=11), utilized as a control group, were taken from the same family line of the mutation carrier (MC) subjects (n=26). We found that, while NMC and MC groups were indistinguishable based on time domain and complexity analyses of RR dynamics, complexity analysis of RTa and RTe variabilities clearly separates the two populations and suggests an impairment in the cardiac control mechanisms acting on the ventricles.
Keywords :
electrocardiography; entropy; feature extraction; medical signal processing; muscle; time-domain analysis; Holter recordings; QT interval variabilitty; QT interval variability; R-peak; RR dynamics; RTa interval; RTe interval; T-wave apex; T-wave end; automatic extraction; cardiac control mechanism; cardiovascular control; complexity analysis; heart period; long QT syndrome type-1 patients; mutation carrier subject; nonmutation carrier individuals; refined multiscale entropy analysis; time distance; time domain analysis; type-1 variant; ventricles; Complexity theory; Electrocardiography; Electronic mail; Entropy; Sociology; Standards; Statistics;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
DOI :
10.1109/EMBC.2013.6610808