• DocumentCode
    3058030
  • Title

    Use of stochastic grammars for hypnogram analysis

  • Author

    Fred, Ana L N ; Leitão, Josh M N

  • Author_Institution
    Centro de Analise e Processamento de Sinais, Inst. Superior Tecnico, Lisboa, Portugal
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    242
  • Lastpage
    245
  • Abstract
    The hypnogram is a schematic representation of sleep dynamics as a sequence of stages along the night. In a sense, it is a model of the so called sleep macrostructure. This paper considers the hypnogram as expression of a language whose structure is to be analysed and modeled in terms of stochastic grammars. These are inferred using Crespi-Reghizzi´s method. A parsing algorithm, exploring the particular structure of the inferred grammars, has been developed. Classification strategies for both noisy and non-noisy patterns is also discussed. An example concerning a population of normals and a population of psychiatric (dysthymic) patients is presented
  • Keywords
    context-free grammars; medical signal processing; patient monitoring; psychology; Crespi-Reghizzi´s method; hypnogram analysis; parsing algorithm; pattern recognition; psychiatric patients; sleep dynamics; sleep macrostructure; stochastic grammars; Context modeling; Drugs; Electroencephalography; Inspection; Microstructure; Morphology; Pathology; Production; Psychology; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2915-0
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.201764
  • Filename
    201764