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首页> 外文期刊>Gait & posture >Original investigation correlated joint fluctuations can influence the selection of steady state gait patterns in the elderly.
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Original investigation correlated joint fluctuations can influence the selection of steady state gait patterns in the elderly.

机译：有关关节波动的原始调查可能会影响老年人稳态步态模式的选择。

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This investigation utilized a Markov model to investigate the relationship of correlated lower extremity joint fluctuations and the selection of a steady state gait pattern in the young and elderly. Our model simulated the neuromuscular system by predicting the behavior of the joints for the next gait cycle based on the behavior exhibited in the preceding gait cycles. Such dependencies in the joint fluctuations have been noted previously in the literature. We speculated that compared to the young model, the characteristics of the correlated fluctuations in the elderly model would result in the selection of a different steady state gait pattern. The results of our simulation support the notion that correlated fluctuations in the joint kinematics influence the selection of a steady state gait pattern. The steady state gait pattern for the elderly model was dependent the ankle and hip. Conversely, the steady state gait pattern for the young control model was dependent on the behavior of the knee and hip. Based on our model, we suggested that the altered steady state gait patterns observed in the elderly may be due to an altered neuromuscular memory of prior joint behaviors.
机译：这项研究利用马尔可夫模型研究相关的下肢关节波动与年轻人和老年人的稳定步态模式选择之间的关系。我们的模型通过根据先前步态周期中表现出的行为预测下一个步态周期中的关节行为来模拟神经肌肉系统。先前已经在文献中注意到关节波动中的这种依赖性。我们推测，与年轻模型相比，老年人模型中相关波动的特征将导致选择不同的稳态步态模式。我们的仿真结果支持以下观点：关节运动学中的相关波动会影响稳态步态模式的选择。老年模型的稳态步态模式取决于脚踝和臀部。相反，年轻控制模型的稳态步态模式取决于膝盖和臀部的行为。根据我们的模型，我们建议在老年人中观察到的稳态步态模式改变可能是由于先前关节行为的神经肌肉记忆改变所致。

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