{
  "annotation_id": "b7665572-6e63-4ac1-8676-54a0709eda78",
  "date_created": "2026-03-02T18:01:35.567000Z",
  "date_modified": "2026-03-02T18:01:35.567000Z",
  "file_hash": "5404edc6bb86b3e348867eaf0e64914597b7529e5dfc9a7e1bd28ff4ad173553",
  "private": false,
  "record": {
    "abstract": "Power spectral density is an accepted measure of heart rate variability. Two\nestimators of multifractal properties: Wavelet Transform Modulus Maxima and\nMultifractal Detrended Fluctuation Analysis are used to investigate\nmultifractal properties for the three strongly physiologically grounded\ncomponents of power spectra: low frequency (LF), very low frequency (VLF) and\nultra low frequency (ULV). Circadian rhythm changes are examined by\ndiscrimination of daily activity from nocturnal rest. Investigations consider\nnormal sinus rhythms of healthy 39 subjects which are grouped in two sets:\n5-hour wake series and 5-hour sleep series. Qualitative arguments are provided\nto conjecture the presence of stochastic persistence in LF range, loss of heart\nrate variability during night in VLF range and its increase in ULF.",
    "arxiv_id": "q-bio/0702047",
    "authors": [
      "Danuta Makowiec",
      "Aleksandra Dudkowska",
      "Rafal Galaska",
      "Andrzej Rynkiewicz"
    ],
    "categories": [
      "q-bio.QM"
    ],
    "title": "Multifractal analysis of normal RR heart-interbeat signals in power   spectra ranges",
    "url": "https://arxiv.org/abs/q-bio/0702047"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "f883e25c-63cc-4e74-8eb7-a7339b6ff5f0",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}