Biofeedback augmenting lower limb loading alters the underlying temporal structure of gait following anterior cruciate ligament reconstruction.

Biofeedback augmenting lower limb loading alters the underlying temporal structure of gait following anterior cruciate ligament reconstruction.
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DOI:
10.1016/j.humov.2020.102685
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发表时间:
2020-10
影响因子:
2.1
通讯作者:
Kiefer AW
Kiefer AW
中科院分区:
心理学3区
文献类型:
--
作者:
Armitano-Lago C;Pietrosimone B;Davis-Wilson HC;Evans-Pickett A;Franz JR;Blackburn T;Kiefer AW

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生物反馈最近已被探索,以针对前交叉韧带重建(ACLR)后的异常下肢负荷力学,以减轻创伤后骨关节炎的发展。然而,这种反馈对步态系统健康的晴雨表--步幅间隔动态结构的影响还有待研究。本研究旨在通过检查单侧ACLR患者步态期间的长距离步幅-步幅相关性,评估用于改变步态期间下肢负荷的反馈如何影响步幅间隔变异性的结构。12名参与者在三种不同的负荷条件下行走:(1)对照(即,无提示)(2)高负荷,和(3)低负荷。基线垂直地面反作用力(vGRF)数据用于计算适当载荷条件下vGRF的目标5%变化(即,高负载为+5%vGRF,低负载为-5%vGRF)。负荷条件的目标与实时vGRF值一起沿着显示在屏幕上,规定每个肢体的步幅到步幅峰值垂直地面反作用力的变化。根据步幅间隔的时间序列(即,持续时间),我们分析了步幅间变异性的平均值和标准偏差,并且通过去趋势波动分析(即,DFA α),每个反馈条件的时间持久性。高负荷和低负荷条件下的步幅间隔(高负荷:α =0.92,低负荷:α = 0.98)比对照条件下的步行(α = 0.78;高负荷与对照组:p = 0.026,低负荷与对照组:p = 0.001)更持久。总体而言,这些结果表明,改变下肢负荷改变的时间持久性的步幅内部动态ACLR个人,展示了步态训练干预措施的设计和影响反馈的影响,对运动策略的影响。
Biofeedback has recently been explored to target deviant lower extremity loading mechanics following anterior cruciate ligament reconstruction (ACLR) to mitigate the development of post traumatic osteoarthritis. The impact this feedback has on the structure of the stride interval dynamics—a barometer of gait system health—however, have yet to be examined. This study was designed to assess how feedback, used to alter lower-extremity loading during gait, affects the structure of stride interval variability by examining long-range stride-to-stride correlations during gait in those with unilateral ACLR. Twelve participants walked under three separate loading conditions: (1) control (i.e., no cue) (2) high loading, and (3) low loading. Baseline vertical ground reaction force (vGRF) data was used to calculate a target 5% change in vGRF for the appropriate loading condition (i.e., high loading was +5% vGRF, low loading was −5% vGRF). The target for the load condition was displayed on a screen along with real-time vGRF values, prescribing changes in stride-to-stride peak vertical ground reaction forces of each limb. From time-series of stride intervals (i.e., duration), we analyzed the mean and standard deviation of stride-to-stride variability and, via detrended fluctuation analysis (i.e., DFA α), temporal persistence for each feedback condition. Both the high and low loading conditions exhibited a change toward more temporally persistent stride intervals (high loading: α =0.92, low loading: α = 0.98) than walking under the control condition (α = 0.78; high vs. control: p = .026, low vs. control: p = .001). Overall, these results indicate that altering lower extremity load changes the temporal persistence of the stride internal dynamics in ACLR individuals, demonstrating the implications of the design of gait training interventions and the influence feedback has on movement strategies.
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