Short- and Long-Term Statistical Properties of Heartbeat Time-Series in Healthy and Pathological Subjects

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Paper discussing short- and long-term statistical properties of heartbeat time-series in healthy and pathological subjects.

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12 p.: ill.

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Allegrini, Paolo; Balocchi, Rita; Chillemi, Santi; Grigolini, Paolo; Palatella, Luigi & Raffaelli, G. October 2002.

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  • Allegrini, Paolo Istituto di Linguistica Computazionale del Consiglio Nazionale delle Ricerche
  • Balocchi, Rita Istituto di Fisiologia Clinica del Consiglio Nazionale delle Ricerche
  • Chillemi, Santi Istituto di Biofisica del Consiglio Nazionale delle Ricerche
  • Grigolini, Paolo University of North Texas; Università di Pisa; Istituto di Biofisica del Consiglio Nazionale delle Ricerche
  • Palatella, Luigi Università di Pisa
  • Raffaelli, G. International School for Advanced Studies and INFM Unit

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Paper discussing short- and long-term statistical properties of heartbeat time-series in healthy and pathological subjects.

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12 p.: ill.

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This is the pre-print version of the paper. This paper was later published in Medical Data Analysis, volume 2526, Copyright 2002. Springer-Verlag. DOI: 10.1007/3-540-36104-9_13

Abstract: We analyze heartbeat time-series corresponding to several groups of individuals (healthy, heart transplanted, with congestive heart failure (CHF), after myocardial infarction (MI), hypertensive), looking for short- and long-time statistical behaviors. In particular we study the persistency patterns of interbeat times and interbeat-time variations. Long-range correlations are revealed using an information-based technique which makes a wise use of the available statistics. The presence of strong long-range time correlations seems to be a general feature for all subjects, with the exception of some CHF individuals. We also show that short time-properties detected in healthy subjects, and seen also in hypertensive and MI patients, and completely absent in the transplanted, are characterized by a general behavior when we apply a proper coarse-graining procedure for time series analysis.

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  • Proceedings of the Third International Symposium of Medical Data Analysis (ISMDA), 2002, Rome, Italy

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  • October 2002

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  • July 24, 2013, 1:20 p.m.

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  • April 1, 2014, 2:08 p.m.

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Allegrini, Paolo; Balocchi, Rita; Chillemi, Santi; Grigolini, Paolo; Palatella, Luigi & Raffaelli, G. Short- and Long-Term Statistical Properties of Heartbeat Time-Series in Healthy and Pathological Subjects, paper, October 2002; (https://digital.library.unt.edu/ark:/67531/metadc174687/: accessed May 21, 2025), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Arts and Sciences.

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