• DocumentCode
    3219120
  • Title

    Distinguishing between asthma and pneumonia through automated lung sound analysis

  • Author

    Bouzakine, T.A. ; Carey, R.M. ; Taranhike, G.N. ; Eder, T.J. ; Shonat, R.D.

  • Author_Institution
    Dept. of Biomed. Eng., Worcester Polytech. Inst., MA, USA
  • fYear
    2005
  • fDate
    2-3 April 2005
  • Firstpage
    241
  • Lastpage
    243
  • Abstract
    To help bridge the gap between common respiratory diagnosis and modern computer technology, we propose a system to record lung sounds in patients and digitally analyze them. This system distinguishes between asthma and pneumonia, two commonly misdiagnosed diseases.
  • Keywords
    diseases; lung; medical computing; patient diagnosis; pneumodynamics; asthma; automated lung sound analysis; common respiratory diagnosis; disease; lung sound recording; modern computer technology; pneumonia; Biomedical engineering; Bridges; Computer displays; Diseases; Hardware; Lungs; Microphones; Stethoscope; X-ray detection; X-ray detectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference, 2005. Proceedings of the IEEE 31st Annual Northeast
  • Print_ISBN
    0-7803-9105-5
  • Electronic_ISBN
    0-7803-9106-3
  • Type

    conf

  • DOI
    10.1109/NEBC.2005.1432010
  • Filename
    1432010