{
  "annotation_id": "fb0f0909-906d-48f5-b2b1-edb96f4b0937",
  "date_created": "2026-03-02T18:01:32.286000Z",
  "date_modified": "2026-03-02T18:01:32.286000Z",
  "file_hash": "a516447a37698f9563e9bf90941c81fe6a3d8e96a239d01dd8b31e5dac803ca4",
  "private": false,
  "record": {
    "abstract": "Electroencephalograph (EEG) analysis enables the neuronal behavior of a\nsection of the brain to be examined. If the behavior is nonlinear then\nnonlinear tools can be used to glean information on brain behavior, and aid in\nthe diagnosis of sleep abnormalities such as obstructive sleep apnea syndrome\n(OSAS). In this paper the sleep EEGs of a set of normal and mild OSAS children\nare evaluated for nonlinear behaviour. We consider how the behaviour of the\nbrain changes with sleep stage and between normal and OSAS children.",
    "arxiv_id": "q-bio/0506015",
    "authors": [
      "Matthew J. Berryman",
      "Scott W. Coussens",
      "Yvonne Pamula",
      "Declan Kennedy",
      "Kurt Lushington",
      "Cosma Shalizi",
      "Andrew Allison",
      "A. James Martin",
      "David Saint",
      "Derek Abbott"
    ],
    "categories": [
      "q-bio.NC"
    ],
    "doi": "10.1117/12.622380",
    "journal_ref": "Proc. SPIE: Fluctuations and Noise in Biological, Biophysical, and\n  Biomedical Systems, Austin, Texas, USA, May 24-26, 2005, vol. 5841, pp. 40-48",
    "title": "Nonlinear aspects of the EEG during sleep in children",
    "url": "https://arxiv.org/abs/q-bio/0506015"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "fae77c38-b941-4b82-8f9e-9da9738d7ae5",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}