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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
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 818)

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.

Keywords

Locomotive syndrome Real-time visual feedback Gait training 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Hiroyuki Honda
    • 1
  • Yoshiyuki Kobayashi
    • 2
  • Akihiko Murai
    • 2
  • Hiroshi Fujimoto
    • 3
  1. 1.Graduate School of Human SciencesWaseda UniversityTokorozawaJapan
  2. 2.Digital Human Research Group, Human Informatics Research InstituteNational Institute of Advanced Industrial Science and TechnologyTokyoJapan
  3. 3.Faculty of Human SciencesWaseda UniversityTokorozawaJapan

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