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Phys. Rev. E 67, 062901 (2003) [4 pages]

Long- and short-time analysis of heartbeat sequences: Correlation with mortality risk in congestive heart failure patients

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P. Allegrini1, R. Balocchi2, S. Chillemi3, P. Grigolini3,4,5, P. Hamilton6, R. Maestri7, L. Palatella5, and G. Raffaelli8
1Istituto di Linguistica Computazionale del Consiglio Nazionale delle Ricerche, Area della Ricerca di Pisa–S. Cataldo, Via Moruzzi 1, 56124, Ghezzano-Pisa, Italy
2Istituto di Fisiologia Clinica del Consiglio Nazionale delle Ricerche, Area della Ricerca di Pisa–S. Cataldo, Via Moruzzi 1, 56124, Ghezzano-Pisa, Italy
3Istituto di Biofisica del Consiglio Nazionale delle Ricerche, Area della Ricerca di Pisa–S. Cataldo, Via Moruzzi 1, 56124, Ghezzano-Pisa, Italy
4Center for Nonlinear Science, University of North Texas, P.O. Box 311427, Denton, Texas, 76203-1427, USA
5Dipartimento di Fisica dell’Università di Pisa and INFM, Via Buonarroti 2, 56127 Pisa, Italy
6Center for Nonlinear Science, Texas Woman’s University, P.O. Box 425498, Denton, Texas 76204, USA
7Fondazione S. Maugeri, IRCCS, Istituto Scientifico di Montescano, Via per Montescano, 27040 Montescano (PV), Italy
8International School for Advanced Studies and INFM Unit, Via Beirut 2-4, 34014 Trieste, Italy

Received 23 July 2002; revised 14 February 2003; published 23 June 2003

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 δ concerning the asymptotic effects of long-range correlation, and the quantity 1-π establishing the amount of uncorrelated fluctuations. We find a correlation between the position in the phase space (δ,π) of patients with congestive heart failure and their mortality risk.

© 2003 The American Physical Society

URL:
http://link.aps.org/doi/10.1103/PhysRevE.67.062901
DOI:
10.1103/PhysRevE.67.062901
PACS:
87.19.Hh, 02.50.Ey, 05.20.-y, 05.40.Fb