How can we better evaluate human walking balance? This research introduces a novel method for constructing a comprehensive evaluation index of human walking balance, aiming to provide a more objective and effective assessment compared to existing subjective methods. The study utilizes exoskeleton interference to challenge balance and generate insightful data. Based on theoretical analysis, preliminary metrics of walking balance were pre-selected. Ground reaction force information and kinematic data were recorded from healthy subjects walking with exoskeleton interference, and from a Charcot–Marie–Tooth patient walking at multiple speeds. Effective evaluation metrics were identified through statistical analysis. The Walking Balance Index (WBI) was constructed by combining multiple metrics using principal component analysis. The WBI successfully distinguishes walking balance among different subjects and gait conditions, confirming the method's effectiveness. This approach has potential for evaluating and improving human walking balance in simulations and experiments, leading to better rehabilitation strategies.
Published in Bioengineering, this research is highly relevant to the journal's focus on engineering principles applied to biological systems. The study's development of a walking balance index, utilizing biomechanical data and principal component analysis, directly aligns with the scope of bioengineering research.