VALIDATION STUDIES FOR SCORING POLYSOMNOGRAMS AND HOME SLEEP APNEA TESTS WITH ARTIFICIAL INTELLIGENCE: SLEEP STAGE PROBABILITIES (HYPNODENSITY) DERIVED FROM NEUROLOGICAL OR CARDIORESPIRATORY SIGNALS

被引:0
|
作者
Anderer, Peter [1 ]
Ross, Marco [1 ]
Cerny, Andreas [1 ]
Fonseca, Pedro [2 ]
Shaw, Edmund [3 ]
Bakker, Jessie [3 ]
机构
[1] Philips Sleep & Resp Care, Sydney, NSW, Australia
[2] Philips Res, Eindhoven, Netherlands
[3] Philips Sleep & Resp Care, Pittsburgh, PA USA
关键词
D O I
暂无
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
0730
引用
收藏
页码:A319 / A319
页数:1
相关论文
共 5 条
  • [1] DEEP LEARNING FOR SCORING SLEEP BASED ON SIGNALS AVAILABLE IN HOME SLEEP APNEA TEST STUDIES: CARDIORESPIRATORY SLEEP STAGING
    Anderer, P.
    Ross, M.
    Cerny, A.
    Radha, M.
    Fonseca, P.
    SLEEP, 2020, 43 : A167 - A167
  • [2] Scoring sleep with artificial intelligence enables quantification of sleep stage ambiguity: hypnodensity based on multiple expert scorers and auto-scoring
    Bakker, Jessie P.
    Ross, Marco
    Cerny, Andreas
    Vasko, Ray
    Shaw, Edmund
    Kuna, Samuel
    Magalang, Ulysses J.
    Punjabi, Naresh M.
    Anderer, Peter
    SLEEP, 2023, 46 (02)
  • [3] A sleep stage estimation algorithm based on cardiorespiratory signals derived from a suprasternal pressure sensor
    Cerina, Luca
    Overeem, Sebastiaan
    Papini, Gabriele B.
    van Dijk, Johannes P.
    Vullings, Rik
    van Meulen, Fokke
    Ross, Marco
    Cerny, Andreas
    Anderer, Peter
    Fonseca, Pedro
    JOURNAL OF SLEEP RESEARCH, 2024, 33 (02)
  • [4] Interrater sleep stage scoring reliability between manual scoring from two European sleep centers and automatic scoring performed by the artificial intelligence-based Stanford-STAGES algorithm
    Cesari, Matteo
    Stefani, Ambra
    Penzel, Thomas
    Ibrahim, Abubaker
    Hackner, Heinz
    Heidbreder, Anna
    Szentkiralyi, Andras
    Stubbe, Beate
    Voelzke, Henry
    Berger, Klaus
    Hoegl, Birgit
    JOURNAL OF CLINICAL SLEEP MEDICINE, 2021, 17 (06): : 1237 - 1247
  • [5] Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works
    Moridian, Parisa
    Shoeibi, Afshin
    Khodatars, Marjane
    Jafari, Mahboobeh
    Pachori, Ram Bilas
    Khadem, Ali
    Alizadehsani, Roohallah
    Ling, Sai Ho
    WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2022, 12 (06)