Gait speed and individual characteristics are related to specific gait metrics in neurotypical adults.
Gait speed and individual characteristics are related to specific gait metrics in neurotypical adults.
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DOI：
10.1038/s41598-023-35317-y
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发表时间：
2023-05-18
影响因子：
4.6
通讯作者：
中科院分区：
文献类型：
--
作者：
步态生物反馈是一种经过充分研究的策略，可以减少步态障碍，如推进缺陷或不对称步长。通过生物反馈，参与者改变他们的行走，以达到每一步特定参数（生物反馈目标）的期望值。前地面反作用力和步长的生物反馈通常用于中风后步态训练，因为这些变量与自我选择的步态速度、跌倒风险和行走的能量消耗相关。然而，生物反馈目标通常被设置为个体的基线行走模式的函数，这可能不反映该步态参数的理想幅度。在这里，我们开发了基于速度，腿长，质量，性别和年龄的预测模型，以预测前地面反作用力和步长的神经典型的成年人作为个性化的生物反馈的一种可能的方法。在独立数据集上对这些值的预测与实际值非常一致，表明神经典型的前地面反作用力可以从个人的腿长、质量和步态速度估计，步长可以从个人的腿长、质量、年龄、性别和步态速度估计。与依赖于个体的基线步态的方法不同，该方法提供了一种标准化的方法，以基于具有相似特征的神经典型个体以相似速度行走所表现出的行走模式来个性化步态生物反馈目标，而不会过度或低估可能限制反馈介导的步态损伤减少的理想值。
Gait biofeedback is a well-studied strategy to reduce gait impairments such as propulsion deficits or asymmetric step lengths. With biofeedback, participants alter their walking to reach the desired magnitude of a specific parameter (the biofeedback target) with each step. Biofeedback of anterior ground reaction force and step length is commonly used in post-stroke gait training as these variables are associated with self-selected gait speed, fall risk, and the energy cost of walking. However, biofeedback targets are often set as a function of an individual’s baseline walking pattern, which may not reflect the ideal magnitude of that gait parameter. Here we developed prediction models based on speed, leg length, mass, sex, and age to predict anterior ground reaction force and step length of neurotypical adults as a possible method for personalized biofeedback. Prediction of these values on an independent dataset demonstrated strong agreement with actual values, indicating that neurotypical anterior ground reaction forces can be estimated from an individual’s leg length, mass, and gait speed, and step lengths can be estimated from individual’s leg length, mass, age, sex, and gait speed. Unlike approaches that rely on an individual’s baseline gait, this approach provides a standardized method to personalize gait biofeedback targets based on the walking patterns exhibited by neurotypical individuals with similar characteristics walking at similar speeds without the risk of over- or underestimating the ideal values that could limit feedback-mediated reductions in gait impairments.
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影响因子：
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Roemmich, Ryan T.
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通讯作者：
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