This study assesses the complexity of heart period (HP) and QT variability series through sample entropy (SampEn) in long QT syndrome type 1 individuals. In order to improve signal-to-noise ratio SampEn was evaluated over the original series (SampEn(0)) and over the residual computed by subtracting the first oscillatory mode identified by empirical mode decomposition (SampEnEMD1R). HP and QT interval were continuously extracted during daytime (2:00-6:00 PM) from 24 hour Holter recordings in 14 non mutation carriers (NMCs) and 34 mutation carriers (MCs) subdivided in 11 asymptomatic (ASYMP) and 23 symptomatic (SYMP). Both NMCs and MCs belonged to the same family line. While SampEn(0) did not show differences among the three groups, SampEn(EMD1R) assessed over the QT series significantly decreased in ASYMP subjects. SampEn(EMD1R) identified a possible factor (i.e. the lower short scale QT complexity) that might contribute to the different risk profile of the ASYMP group.

Filtering approach based on empirical mode decomposition improves the assessment of short scale complexity in long QT syndrome type 1 population / V. Bari, A. Marchi, G. Girardengo, A.L. George, P.A. Brink, S. Cerutti, L. Crotti, P.J. Schwartz, A. Porta (PROCEEDINGS OF THE ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY). - In: Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)[s.l] : IEEE, 2014. - ISBN 9781424479276. - pp. 6671-6674 (( Intervento presentato al 36. convegno Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC) tenutosi a Chicago nel 2014 [10.1109/EMBC.2014.6945158].

Filtering approach based on empirical mode decomposition improves the assessment of short scale complexity in long QT syndrome type 1 population

V. Bari;A. Porta
Ultimo
2014

Abstract

This study assesses the complexity of heart period (HP) and QT variability series through sample entropy (SampEn) in long QT syndrome type 1 individuals. In order to improve signal-to-noise ratio SampEn was evaluated over the original series (SampEn(0)) and over the residual computed by subtracting the first oscillatory mode identified by empirical mode decomposition (SampEnEMD1R). HP and QT interval were continuously extracted during daytime (2:00-6:00 PM) from 24 hour Holter recordings in 14 non mutation carriers (NMCs) and 34 mutation carriers (MCs) subdivided in 11 asymptomatic (ASYMP) and 23 symptomatic (SYMP). Both NMCs and MCs belonged to the same family line. While SampEn(0) did not show differences among the three groups, SampEn(EMD1R) assessed over the QT series significantly decreased in ASYMP subjects. SampEn(EMD1R) identified a possible factor (i.e. the lower short scale QT complexity) that might contribute to the different risk profile of the ASYMP group.
head-up-tilt; time-series analysis; period; variability; entropy; exercise; pressure; spectrum; stress
Settore ING-INF/06 - Bioingegneria Elettronica e Informatica
Institute of Electrical and Electronics Engineers (IEEE)
Engineering in Medicine and Biology Society (EMBC)
Book Part (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/257326
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