Automated discrimination method for measuring the thickness of muscular and subcutaneous fat layers based on tissue elasticity

Masahiro Inoue, Osamu Fukuda, Masayoshi Tsubai, Satoshi Muraki, Hiroshi Okumura, Kohei Arai

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The balance between human body composition, e.g. bones, muscles, and fat, is a major and basic indicator of personal health. This paper proposes a new discrimination method for measuring the thickness of subcutaneous fat and muscular layers based on tissue elasticity. The validity of the proposed method was evaluated in twenty-one subjects (twelve women, ten men; aged 20-70 yr) at three anatomical sites. Experimental results show that the proposed method can achieve considerably high discrimination performance.

    Original languageEnglish
    Title of host publicationProceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    Subtitle of host publicationEngineering the Future of Biomedicine, EMBC 2009
    PublisherIEEE Computer Society
    Pages5175-5178
    Number of pages4
    ISBN (Print)9781424432967
    DOIs
    Publication statusPublished - 2009
    Event31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 - Minneapolis, MN, United States
    Duration: Sept 2 2009Sept 6 2009

    Publication series

    NameProceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

    Other

    Other31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
    Country/TerritoryUnited States
    CityMinneapolis, MN
    Period9/2/099/6/09

    All Science Journal Classification (ASJC) codes

    • Cell Biology
    • Developmental Biology
    • Biomedical Engineering
    • General Medicine

    Fingerprint

    Dive into the research topics of 'Automated discrimination method for measuring the thickness of muscular and subcutaneous fat layers based on tissue elasticity'. Together they form a unique fingerprint.

    Cite this