Center of Advanced Technologies in Rehabilitation, Sheba Medical Center, Tel HaShomer, Israel.
Department of Physical Therapy, Recanati School for Community Health Professions, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
PLoS One. 2020 Jun 3;15(6):e0233510. doi: 10.1371/journal.pone.0233510. eCollection 2020.
Walking stability is achieved by adjusting the medio-lateral and anterior-posterior dimensions of the base of support (step length and step width, respectively) to contain an extrapolated center of mass. We aimed to calculate total recovery time after different types of perturbations during walking, and use it to compare young and older adults following different types of perturbations. Walking trials were performed in 12 young (age 26.92 ± 3.40 years) and 12 older (age 66.83 ± 1.60 years) adults. Perturbations were introduced at different phases of the gait cycle, on both legs and in anterior-posterior or medio-lateral directions, in random order. A novel algorithm was developed to determine total recovery time values for regaining stable step length and step width parameters following the different perturbations, and compared between the two participant groups under low and high cognitive load conditions, using principal component analysis (PCA). We analyzed 829 perturbations each for step length and step width. The algorithm successfully estimated total recovery time in 91.07% of the runs. PCA and statistical comparisons showed significant differences in step length and step width recovery times between anterior-posterior and medio-lateral perturbations, but no age-related differences. Initial analyses demonstrated the feasibility of comparisons based on total recovery time calculated using our algorithm.
行走稳定性是通过调整支撑基底的中-侧和前-后维度(分别为步长和步宽)来包含外推的质心实现的。我们旨在计算行走过程中不同类型扰动后的总恢复时间,并使用它来比较不同类型扰动后年轻人和老年人的情况。在 12 名年轻成年人(年龄 26.92 ± 3.40 岁)和 12 名老年成年人(年龄 66.83 ± 1.60 岁)中进行了行走试验。在步态周期的不同阶段,以随机顺序在双腿上以及在前后或中-侧方向上引入了不同类型的扰动。开发了一种新算法来确定在不同扰动后恢复稳定步长和步宽参数的总恢复时间值,并在低和高认知负荷条件下,使用主成分分析(PCA)比较两组参与者的结果。我们对步长和步宽的每个扰动进行了 829 次分析。该算法成功地估计了 91.07%的运行中的总恢复时间。PCA 和统计比较显示,在前-后和中-侧扰动之间,步长和步宽的恢复时间存在显著差异,但与年龄无关。初步分析表明,基于我们算法计算的总恢复时间进行比较是可行的。