Prediction of Margin of Gait Stability by Using Six-DoF Motion of Pelvis.

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  • Additional Information
    • Source:
      Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
    • Publication Information:
      Original Publication: Basel, Switzerland : MDPI, c2000-
    • Subject Terms:
      Gait*/physiology ; Pelvis*/physiology ; Postural Balance*/physiology; Humans ; Biomechanical Phenomena/physiology ; Male ; Female ; Walking/physiology ; Accidental Falls/prevention & control ; Adult
    • Abstract:
      Unstable gait increases the risk of falls, posing a significant danger, particularly for frail older adults. The margin of stability (MoS) is a quantitative index that reflects the risk of falling due to postural imbalance in both the anterior-posterior and mediolateral directions during walking. Although MoS is a reliable indicator, its computation typically requires specialized equipment, such as motion capture systems, limiting its application to laboratory settings. To address this limitation, we propose a method for estimating MoS using time-series data from the translational and angular velocities of a single body segment-the pelvis. By applying principal motion analysis to process the multivariate time-series data, we successfully estimated MoS. Our results demonstrate that the estimated MoS in the mediolateral direction achieved an RMSE of 0.88 cm and a correlation coefficient of 0.72 with measured values, while in the anterior-posterior direction, the RMSE was 0.73 cm with a correlation coefficient of 0.87. These values for the mediolateral direction are better than those obtained in previous studies using only the three translational velocity components of the pelvis, whereas the values for the anterior direction are comparable to previous approaches. Our findings suggest that MoS can be reliably estimated using six-axial kinematic data of the pelvis, offering a more accessible method for assessing gait stability.
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    • Grant Information:
      KAKENHI #23K21021 Ministry of Education, Culture, Sports, Science and Technology
    • Contributed Indexing:
      Keywords: gait stability; inertial measurement unit; motion capture; postural stability; principal motion analysis; time-series data
    • Publication Date:
      Date Created: 20241127 Date Completed: 20241127 Latest Revision: 20241130
    • Publication Date:
      20241202
    • Accession Number:
      PMC11598456
    • Accession Number:
      10.3390/s24227342
    • Accession Number:
      39599118