Buttock dummy with force sensors for assessment of deep tissue injury risk

Kohei Kanaya, Kunihiro Ogata, Tsuyoshi Nakayama, Eiichi Ono, Mitsuo Umezu

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

    3 Citations (Scopus)


    Prevention of pressure ulcers, which result from persistent mechanical loading of soft tissues, is a common issue among wheelchair users. In the case of deep tissue injury (DTI), it is difficult to predict where tissue breakdown will occur, as it initiates from tissues under the skin. In this paper, a new methodology to assess the risk of DTI using a compliant buttock dummy is proposed. The dummy is composed of pelvis model with six-axis force sensors and silicone rubber covering it to imitate the anatomical form of a human buttock. Six-axis force sensors attached to the pelvis model enable the measurement of external forces and moments during the sitting posture and estimate points of action on bony prominences such as ischial tuberosities by an algorithm. Experiments have been performed to test the accuracy of position estimation by placing point load on the bony prominences model. Next, the relationship between external forces and internal pressure has been confirmed by adhering pressure sensors on the surface of rigid models covered by soft materials. The results suggested the potential of the proposed dummy for the assessment tool of DTI risk.

    Original languageEnglish
    Title of host publicationSII 2016 - 2016 IEEE/SICE International Symposium on System Integration
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Number of pages6
    ISBN (Electronic)9781509033294
    Publication statusPublished - 2017 Feb 6
    Event2016 IEEE/SICE International Symposium on System Integration, SII 2016 - Sapporo, Japan
    Duration: 2016 Dec 132016 Dec 15


    Other2016 IEEE/SICE International Symposium on System Integration, SII 2016

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Control and Systems Engineering
    • Mechanical Engineering
    • Artificial Intelligence
    • Hardware and Architecture
    • Control and Optimization

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