Zipf's law in human heartbeat dynamics

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dc.creatorKalda, J.
dc.creatorSakki, M.
dc.creatorVainu, M.
dc.creatorLaan, M.
dc.date2001-10-26
dc.date.accessioned2026-07-07T05:46:25Z
dc.date.available2026-07-07T05:46:25Z
dc.descriptionIt is shown that the distribution of low variability periods in the activity of human heart rate typically follows a multi-scaling Zipf's law. The presence or failure of a power law, as well as the values of the scaling exponents, are personal characteristics depending on the daily habits of the subjects. Meanwhile, the distribution function of the low-variability periods as a whole discriminates efficiently between various heart pathologies. This new technique is also applicable to other non-linear time-series and reflects these aspects of the underlying intermittent dynamics, which are not covered by other methods of linear- and nonlinear analysis.
dc.description4 pages
dc.identifierhttps://arxiv.org/abs/physics/0110075
dc.identifierhttp://arxiv.org/abs/physics/0110075
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/84327
dc.subjectMedical Physics
dc.subjectData Analysis, Statistics and Probability
dc.subjectQuantitative Biology
dc.titleZipf's law in human heartbeat dynamics
dc.typetext

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