• DocumentCode
    2094830
  • Title

    Uncertainty analysis of feature extraction from expired gas traces

  • Author

    Parvis, M. ; Gulotta, C. ; Torchio, R.

  • Author_Institution
    Dipt. di Elettronica, Politecnico di Torino, Italy
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    710
  • Abstract
    Noninvasive medical analyses are a convenient method to study several pathologies and determine important health `indicators´, even though an estimation of the indicator uncertainty is often difficult to obtain. The usefulness of such indicators depends on the employed model, but also on the uncertainty that is connected with the indicator determination. This paper deals with the problems related to the estimation of the uncertainty when the indicators are computed by means of a nontrivial processing on recorded traces of clinical parameters. The paper is focused on the analysis of expired gas traces, but the procedure can be applied in many other cases where the processing involves the manual or automatic selection on suitable `key points´ on repetitive traces
  • Keywords
    feature extraction; mass spectroscopic chemical analysis; medical signal processing; patient diagnosis; pneumodynamics; uncertainty handling; clinical parameters; expired gas traces; feature extraction; noninvasive medical analyses; nontrivial processing; pathologies; uncertainty analysis; Costs; Feature extraction; Gases; Lungs; Medical diagnosis; Medical diagnostic imaging; Pathology; Signal analysis; Signal processing; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2000. IMTC 2000. Proceedings of the 17th IEEE
  • Conference_Location
    Baltimore, MD
  • ISSN
    1091-5281
  • Print_ISBN
    0-7803-5890-2
  • Type

    conf

  • DOI
    10.1109/IMTC.2000.848829
  • Filename
    848829