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

    研究成果: Conference contribution

    抄録

    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.

    元の言語English
    ホスト出版物のタイトルProceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume I
    ホスト出版物のサブタイトルHealthcare Ergonomics
    編集者Sebastiano Bagnara, Yushi Fujita, Riccardo Tartaglia, Sara Albolino, Thomas Alexander
    出版者Springer-Verlag
    ページ305-311
    ページ数7
    ISBN(印刷物)9783319960975
    DOI
    出版物ステータスPublished - 2019 1 1
    イベント20th Congress of the International Ergonomics Association, IEA 2018 - Florence, Italy
    継続期間: 2018 8 262018 8 30

    出版物シリーズ

    名前Advances in Intelligent Systems and Computing
    818
    ISSN(印刷物)2194-5357

    Other

    Other20th Congress of the International Ergonomics Association, IEA 2018
    Italy
    Florence
    期間18/8/2618/8/30

    Fingerprint

    Exercise equipment
    Locomotives
    Feedback
    Sensors
    Orthopedics
    Analysis of variance (ANOVA)
    Aging of materials

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Computer Science(all)

    これを引用

    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. : S. Bagnara, Y. Fujita, R. Tartaglia, S. Albolino, & T. Alexander (版), 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; 巻数 818). Springer-Verlag. https://doi.org/10.1007/978-3-319-96098-2_40

    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. / Honda, Hiroyuki; Kobayashi, Yoshiyuki; Murai, Akihiko; Fujimoto, Hiroshi.

    Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume I: Healthcare Ergonomics. 版 / Sebastiano Bagnara; Yushi Fujita; Riccardo Tartaglia; Sara Albolino; Thomas Alexander. Springer-Verlag, 2019. p. 305-311 (Advances in Intelligent Systems and Computing; 巻 818).

    研究成果: Conference contribution

    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. : S Bagnara, Y Fujita, R Tartaglia, S Albolino & T Alexander (版), Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume I: Healthcare Ergonomics. Advances in Intelligent Systems and Computing, 巻. 818, Springer-Verlag, pp. 305-311, 20th Congress of the International Ergonomics Association, IEA 2018, Florence, Italy, 18/8/26. https://doi.org/10.1007/978-3-319-96098-2_40
    Honda H, Kobayashi Y, Murai A, Fujimoto H. 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. : Bagnara S, Fujita Y, Tartaglia R, Albolino S, Alexander T, 編集者, Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume I: Healthcare Ergonomics. Springer-Verlag. 2019. p. 305-311. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-96098-2_40
    Honda, Hiroyuki ; Kobayashi, Yoshiyuki ; Murai, Akihiko ; Fujimoto, Hiroshi. / 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. Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume I: Healthcare Ergonomics. 編集者 / Sebastiano Bagnara ; Yushi Fujita ; Riccardo Tartaglia ; Sara Albolino ; Thomas Alexander. Springer-Verlag, 2019. pp. 305-311 (Advances in Intelligent Systems and Computing).
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