Filtering approach based on empirical mode decomposition improves the assessment of short scale complexity in long QT syndrome type 1 population
Contributo in Atti di convegno
Data di Pubblicazione:
2014
Citazione:
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].
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.
Tipologia IRIS:
03 - Contributo in volume
Keywords:
head-up-tilt; time-series analysis; period; variability; entropy; exercise; pressure; spectrum; stress
Elenco autori:
V. Bari, A. Marchi, G. Girardengo, A.L. George, P.A. Brink, S. Cerutti, L. Crotti, P.J. Schwartz, A. Porta
Link alla scheda completa:
Titolo del libro:
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)