{
  "annotation_id": "a7322c4b-f11b-4a0d-a195-85707f9845ee",
  "date_created": "2026-03-02T18:00:43.260000Z",
  "date_modified": "2026-03-02T18:00:43.260000Z",
  "file_hash": "ff740ba00bca3e6a8570d92402d298035c3c445c838429833c0f72b1734f3a20",
  "private": false,
  "record": {
    "abstract": "Human heart rate fluctuates in a complex and non-stationary manner.\nElaborating efficient and adequate tools for the analysis of such signals has\nbeen a great challenge for the researchers during last decades. Here, an\noverview of the main research results in this field is given. The following\nquestion are addressed: (a) what are the intrinsic features of the heart rate\nvariability signal; (b) what are the most promising non-linear measures,\nbearing in mind clinical diagnostic and prognostic applications.",
    "arxiv_id": "physics/0303041",
    "authors": [
      "J. Kalda",
      "M. Sakki",
      "M. Vainu",
      "M. Laan"
    ],
    "categories": [
      "physics.med-ph",
      "q-bio"
    ],
    "title": "Non-linear and scale-invariant analysis of the Heart Rate Variability",
    "url": "https://arxiv.org/abs/physics/0303041"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "951c79d1-4602-4127-a7a1-fb1b52bd7768",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}