We analyze RR heartbeat sequences with a dynamic model that satisfactorily reproduces both the long- and the short-time statistical properties of heart beating. These properties are expressed quantitatively by means of two significant parameters, the scaling concerning the asymptotic effects of long-range correlation, and the quantity 1 establishing the amount of uncorrelated fluctuations. We find a correlation between the position in the phase space (,) of patients with congestive heart failure and their mortality risk.
Long- and short-time analysis of heartbeat sequences: Correlation with mortality risk in congestive heart failure patients
Chillemi S;Grigolini P;
2003
Abstract
We analyze RR heartbeat sequences with a dynamic model that satisfactorily reproduces both the long- and the short-time statistical properties of heart beating. These properties are expressed quantitatively by means of two significant parameters, the scaling concerning the asymptotic effects of long-range correlation, and the quantity 1 establishing the amount of uncorrelated fluctuations. We find a correlation between the position in the phase space (,) of patients with congestive heart failure and their mortality risk.File in questo prodotto:
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