• DocumentCode
    2044661
  • Title

    Feature Extraction of Capnogram for Asthmatic Patient

  • Author

    Kean, Tan Teik ; Teo, A.H. ; Malarvili, M.B.

  • Author_Institution
    Fac. of Biomed. & Health Sci. Eng., Univ. Teknol. Malaysia, Malaysia
  • Volume
    2
  • fYear
    2010
  • fDate
    19-21 March 2010
  • Firstpage
    251
  • Lastpage
    255
  • Abstract
    In this paper, a total of 13 features were studied and automatically extracted to differentiate the asthmatic and nonasthmatic capnogram. From the results, slope ratio (SR) and the newly introduced Hjorth Parameters (HP2 - Mobility) are found to be the best among the investigated parameters in differentiating the two groups. Ongoing results show that parameters that associate with the slope of the capnogram are good index in differentiating the asthmatic and non-asthmatic capnogram.
  • Keywords
    feature extraction; medical signal processing; Hjorth parameters; asthmatic capnogram; asthmatic patient; feature extraction; nonasthmatic capnogram; slope ratio; Biomedical engineering; Carbon dioxide; Electromagnetic wave absorption; Feature extraction; Gas detectors; Infrared detectors; Medical treatment; Patient monitoring; Pressure measurement; Wavelength measurement; asthma; capnography; feature extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering and Applications (ICCEA), 2010 Second International Conference on
  • Conference_Location
    Bali Island
  • Print_ISBN
    978-1-4244-6079-3
  • Electronic_ISBN
    978-1-4244-6080-9
  • Type

    conf

  • DOI
    10.1109/ICCEA.2010.286
  • Filename
    5445651
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2044661