• DocumentCode
    3653656
  • Title

    Mobile phone-based rheumatic heart disease diagnosis

  • Author

    D.B. Springer;L.J. Z?hlke;B.M. Mayosi;L. Tarassenko;G.D. Clifford

  • Author_Institution
    Institute of Biomedical Engineering, University of Oxford, United Kingdom
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    It is estimated that between 15.6 and 19.6 million people are living with rheumatic heart disease (RHD) worldwide, accounting for about one million deaths annually and 60% of Africa´s open heart surgeries. As RHD results in heart murmurs that are almost always audible during auscultation, a mobile phone-based automatic auscultation device has the potential to identify those individuals with a high risk of having RHD. Such a device would allow cost-effective treatment while not requiring expert training or expensive equipment. This paper addresses two of the major steps when processing heart sounds recordings using such a device: signal quality classification, which achieved over 90% accuracy, and heart sound segmentation, with 93.5% F1 score. Future steps required to develop a fully automatic device are then discussed.
  • Publisher
    iet
  • Conference_Titel
    Appropriate Healthcare Technologies for Low Resource Settings (AHT 2014)
  • Type

    conf

  • DOI
    10.1049/cp.2014.0761
  • Filename
    7083573