• DocumentCode
    380883
  • Title

    Automatic sleep scoring based on modular rule-based reasoning units and signal processing units

  • Author

    Oh, Jung-Su ; Park, Hae-Jeong ; Seo, Jin-Woo ; Park, Kwang-Suk

  • Author_Institution
    Coll. of Medicine, Seoul Nat. Univ., South Korea
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1699
  • Abstract
    Sleep stage scoring is laborious and requires much expertise. So using expert system for automatic sleep scoring systems is desirable. In this study, we have designed and implemented a multi-staged rule-based reasoning system with augmented functions using communications among RBRU (rule-based reasoning unit). With RBRU not having sufficient information, the unit is designed to ask the previous RBRU and SPU(signal processing unit) to provide more information. With brief information only, the RBRU can score sleep stage with efficiency and exactness in simple cases. If this brief information is not sufficient, additional information tossed from previous unit is combined for enhancing accuracy of sleep stage scoring.
  • Keywords
    case-based reasoning; electroencephalography; electromyography; explanation; medical expert systems; medical signal processing; sleep; EEG channel; EOG; augmented functions; automatic sleep stage scoring; case-based system; electromyogram; expert system; hybrid system; modular rule-based reasoning; multi-staged rule-based reasoning system; polysomnography; signal processing unit; single epoch reasoning; Biomedical engineering; Biomedical signal processing; Diseases; Educational institutions; Expert systems; Information analysis; Medical diagnostic imaging; Medical expert systems; Signal processing; Sleep;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7211-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2001.1020543
  • Filename
    1020543