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

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. Al...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2024-11, Vol.24 (22), p.7342
Main Authors: Kuroda, Tomohito, Okamoto, Shogo, Akiyama, Yasuhiro
Format: Article
Language:English
Subjects:
Accidental Falls - prevention & control
Adult
Aged
Analysis
Biomechanical Phenomena - physiology
Falls (Accidents)
Female
Gait
Gait - physiology
gait stability
Humans
inertial measurement unit
Male
Motion capture
Pelvis - physiology
Postural Balance - physiology
postural stability
Posture
principal motion analysis
time-series data
Velocity
Walking
Walking - physiology
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Summary: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s24227342