{
  "annotation_id": "0e5d8fc8-e08e-4dcf-a8fd-2adb172e898c",
  "date_created": "2026-03-02T18:00:49.901000Z",
  "date_modified": "2026-03-02T18:00:49.901000Z",
  "file_hash": "06ae50d56362f967c6e0fa955997954ba0f05330413df37f803191076493b141",
  "private": false,
  "record": {
    "abstract": "Noise is present in the wide variety of signals obtained from sleep patients.\nThis noise comes from a number of sources, from presence of extraneous signals\nto adjustments in signal amplification and shot noise in the circuits used for\ndata collection. The noise needs to be removed in order to maximize the\ninformation gained about the patient using both manual and automatic analysis\nof the signals. Here we evaluate a number of new techniques for removal of that\nnoise, and the associated problem of separating the original signal sources.",
    "arxiv_id": "physics/0404034",
    "authors": [
      "Matthew J. Berryman",
      "Sheila Messer",
      "Andrew Allison",
      "Derek Abbott"
    ],
    "categories": [
      "physics.data-an"
    ],
    "doi": "10.1117/12.546637",
    "title": "Techniques for noise removal from EEG, EOG and air flow signals in sleep   patients",
    "url": "https://arxiv.org/abs/physics/0404034"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "b1f137d3-7a94-4700-9bd8-be0912e9aa72",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}