• DocumentCode
    2715468
  • Title

    Multimedia database "Marburg Respiratory Sounds (MARS)"

  • Author

    Gross, V. ; Hadjileontiadis, L.J. ; Penzel, Th ; Koehler, U. ; Ogelmeier, C.K.

  • Author_Institution
    Dept. of Respir. & Crit. Care Med., Philipps-Univ., Marburg, Germany
  • Volume
    1
  • fYear
    2003
  • fDate
    17-21 Sept. 2003
  • Firstpage
    456
  • Abstract
    Lung sounds and their relation with the pulmonary pathology make their accurate interpretation crucial. The traditional method of auscultation with the stethoscope is rather subjective and requires long experience. For the development of advanced detection algorithms of pathological lung sounds a large number of validated lung sound recordings are needed. In contrast to existing commercial lung sound CDs we compiled a database which contains many cases with typical auscultation findings and findings with difficult evaluation. A novelty is the combination between auscultation results and lung function parameters.
  • Keywords
    bioacoustics; biomedical measurement; medical diagnostic computing; medical signal processing; multimedia databases; patient diagnosis; Marburg Respiratory Sounds; advanced detection algorithms; auscultation; lung function parameters; lung sound recordings; lung sounds; multimedia database; pathological lung sounds; pulmonary pathology; Acoustic noise; Blood; Digital recording; Laboratories; Low pass filters; Lungs; Mars; Microphones; Multimedia databases; Pathology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7789-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2003.1279717
  • Filename
    1279717