{
  "annotation_id": "03c572e7-0342-44d8-8168-3cfc1dedf3fa",
  "date_created": "2026-03-02T18:01:24.600000Z",
  "date_modified": "2026-03-02T18:01:24.600000Z",
  "file_hash": "ca54c698727a23b39df6d7f5c46e626233dbb66129ed05927a69c09ac44da9cb",
  "private": false,
  "record": {
    "abstract": "We study the Heart Rate Variability (HRV) using scale specific variance and\nscaling exponents as measures of healthy and cardiac impaired individuals. Our\nresults show that the variance and the scaling exponent are uncorrelated. We\nfind that the variance measure at certain scales is well suited to separate\nhealthy subjects from heart patients. However, for cumulative survival\nprobability the scaling exponents outperform the variance measure. Our risk\nstudy is based on a database containing recordings from 428 individuals after\nmyocardial infarct (MI) and on database containing 105 healthy subjects and 11\nheart patients. The results have been obtained by applying three recently\ndeveloped methods (DFA - Detrended Fluctuation Analysis, WAV - Multiresolution\nWavelet Analysis, and DTS - Detrended Time Series analysis) which are shown to\nbe highly correlated.",
    "arxiv_id": "physics/9909029",
    "authors": [
      "Y. Ashkenazy",
      "M. Lewkowicz",
      "J. Levitan",
      "S. Havlin",
      "K. Saermark",
      "H. Moelgaard",
      "P. E. Bloch Thomsen",
      "M. Moller",
      "U. Hintze",
      "H. V. Huikuri"
    ],
    "categories": [
      "physics.med-ph",
      "chao-dyn",
      "nlin.CD",
      "physics.bio-ph",
      "q-bio"
    ],
    "title": "Scale Specific and Scale Independent Measures of Heart Rate Variability   as Risk Indicators",
    "url": "https://arxiv.org/abs/physics/9909029"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "69921097-88d0-4f2f-a057-0b0f05c0cb58",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}