The development of sensor-based gait training system for locomotive syndrome: The effect of real-time gait feature feedback on gait pattern during treadmill walking

Hiroyuki Honda, Yoshiyuki Kobayashi, Akihiko Murai, Hiroshi Fujimoto

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

    Abstract

    The concept of locomotive syndrome was proposed by the Japanese Orthopedic Association; it typifies the condition of reduced mobility resulting from a locomotive organ disorder related to aging. Although several sensor-based gait training systems, which can feedback the gait features in real-time, have been developed for various musculoskeletal disorders, there are no such systems for locomotive syndrome. In this study, we reported how real-time locomotive syndrome related gait feature feedback effects on gait patterns during treadmill walking. 18 healthy participants were assigned into either intervention- or control-group. During 4 sessions (training-session, pre-intervention-session, intervention-session, and post-intervention-session), gait patterns were measured by a motion-capture system. During the intervention-session of the intervention-group, participants received LS-risk-scores made in this study. Meanwhile, they were asked to minimize the LS-risk-scores by modifying their knee joint motion. A two-way-repeated measure ANOVA was conducted on the LS-risk-scores to examine effects of the intervention. When interaction was found, paired t-tests were conducted on the LS-risk-scores and knee angles between the sessions respectively. As a result, the LS-risk-scores were significantly smaller (p < 0.05) during the post-intervention-session than the pre-intervention-session in the intervention-group. There were no significant differences on the LS-risk-scores between the sessions in the control-group. Further, in the intervention-group, significant differences (p < 0.05) were found between the sessions on the knee angles partially. There were no significant differences between the sessions on the knee angles in the control-group. These results indicate that people can alter their gait pattern if the LS-risk-scores are feedback in real-time.

    Original languageEnglish
    Title of host publicationProceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume I
    Subtitle of host publicationHealthcare Ergonomics
    EditorsSebastiano Bagnara, Yushi Fujita, Riccardo Tartaglia, Sara Albolino, Thomas Alexander
    PublisherSpringer-Verlag
    Pages305-311
    Number of pages7
    ISBN (Print)9783319960975
    DOIs
    Publication statusPublished - 2019 Jan 1
    Event20th Congress of the International Ergonomics Association, IEA 2018 - Florence, Italy
    Duration: 2018 Aug 262018 Aug 30

    Publication series

    NameAdvances in Intelligent Systems and Computing
    Volume818
    ISSN (Print)2194-5357

    Other

    Other20th Congress of the International Ergonomics Association, IEA 2018
    CountryItaly
    CityFlorence
    Period18/8/2618/8/30

    Keywords

    • Gait training
    • Locomotive syndrome
    • Real-time visual feedback

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Computer Science(all)

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  • Cite this

    Honda, H., Kobayashi, Y., Murai, A., & Fujimoto, H. (2019). The development of sensor-based gait training system for locomotive syndrome: The effect of real-time gait feature feedback on gait pattern during treadmill walking. In S. Bagnara, Y. Fujita, R. Tartaglia, S. Albolino, & T. Alexander (Eds.), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume I: Healthcare Ergonomics (pp. 305-311). (Advances in Intelligent Systems and Computing; Vol. 818). Springer-Verlag. https://doi.org/10.1007/978-3-319-96098-2_40