• DocumentCode
    1547538
  • Title

    Analysis of physiological time series using wavelet transforms

  • Author

    Figliola, Aleiandra ; Serrano, Eduardo

  • Author_Institution
    Inst. de Calculo, Ciudad Univ., Buenos Aires, Argentina
  • Volume
    16
  • Issue
    3
  • fYear
    1997
  • Firstpage
    74
  • Lastpage
    79
  • Abstract
    Time-series analysis is the basis for characterization and modeling of an observed system. The aim of this analysis is the prediction of the short-term evolution of a dynamic system and the development of a model that captures features of its long-term behavior. Here, the authors present a a method of time-series analysis that uses wavelet transforms to analyze heart rhythm, chest volume, and blood oxygen saturation data from a patient suffering from sleep apnea
  • Keywords
    blood; electrocardiography; medical signal processing; oxygen; time series; volume measurement; wavelet transforms; ECG analysis; O2; blood oxygen saturation data; chest volume; heart rhythm; long-term behavior features; physiological time series analysis; sleep apnea patient; Discrete wavelet transforms; Frequency; Heart; Predictive models; Rhythm; Sleep apnea; Time series analysis; Topology; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/51.585521
  • Filename
    585521
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1547538