dorsal/arxiv
View SchemaZipf's law in human heartbeat dynamics
| Authors | J. Kalda, M. Sakki, M. Vainu, M. Laan |
|---|---|
| Categories | |
| ArXiv ID | physics/0110075 |
| URL | https://arxiv.org/abs/physics/0110075 |
Abstract
It 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.
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"date_created": "2026-03-02T18:00:36.329000Z",
"date_modified": "2026-03-02T18:00:36.329000Z",
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"abstract": "It is shown that the distribution of low variability periods in the activity\nof human heart rate typically follows a multi-scaling Zipf\u0027s law. The presence\nor failure of a power law, as well as the values of the scaling exponents, are\npersonal characteristics depending on the daily habits of the subjects.\nMeanwhile, the distribution function of the low-variability periods as a whole\ndiscriminates efficiently between various heart pathologies. This new technique\nis also applicable to other non-linear time-series and reflects these aspects\nof the underlying intermittent dynamics, which are not covered by other methods\nof linear- and nonlinear analysis.",
"arxiv_id": "physics/0110075",
"authors": [
"J. Kalda",
"M. Sakki",
"M. Vainu",
"M. Laan"
],
"categories": [
"physics.med-ph",
"physics.data-an",
"q-bio"
],
"title": "Zipf\u0027s law in human heartbeat dynamics",
"url": "https://arxiv.org/abs/physics/0110075"
},
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"variant": "snapshot-2026-03-01",
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