Regularity patterns in heart rate variability signal: the approximate entropy approach
Contributo in Atti di convegno
Data di Pubblicazione:
1998
Citazione:
Regularity patterns in heart rate variability signal: the approximate entropy approach / M.G. Signorini, R. Sassi, F. Lombardi, S. Cerutti - In: Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE[s.l] : IEEE Press, 1998. - ISBN 0780351649. - pp. 306-309 (( Intervento presentato al 20. convegno Annual International Conference of the Engineering in Medicine and Biology Society tenutosi a Hong Kong nel 1998 [10.1109/IEMBS.1998.745903].
Abstract:
Recent approaches to the study of nonlinearity in biological systems ha ce found a powerful tool in the Approximate Entropy (ApEn) estimation. ApEn is a family of statistic indices that measures different degrees of regularity in time series without any a priori hypothesis about the system structure generating them. In this paper we analyze its ability to distinguish, in the short period, different physiological conditions in which the cardiovascular control system can influence the heart rate variability signal (HRV). In the same time we show results confirming a significant separation in myocardial infarction populations on the basis of the ApEn index. The experimental work also discusses the choice of parameters for a correct ApEn index estimation and its link with the neural mechanisms controlling HRV signal.
Tipologia IRIS:
03 - Contributo in volume
Elenco autori:
M.G. Signorini, R. Sassi, F. Lombardi, S. Cerutti
Link alla scheda completa:
Titolo del libro:
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE