Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, NC and North Carolina State University, Raleigh, NC, USA.
Hum Mov Sci. 2020 Oct;73:102685. doi: 10.1016/j.humov.2020.102685. Epub 2020 Sep 25.
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.
生物反馈技术最近被用于针对前交叉韧带重建(ACL)后下肢异常负重力学,以减轻创伤后骨关节炎的发展。然而,这种反馈对步长间隔动力学结构的影响(步态系统健康的晴雨表)尚未得到检验。本研究旨在评估在步态中改变下肢负荷时使用反馈如何通过检查单侧 ACLR 患者步态中的长程步长间相关性来影响步长间隔可变性的结构。十二名参与者在三种不同的加载条件下行走:(1)对照(即无提示)、(2)高负载和(3)低负载。使用垂直地面反作用力(vGRF)的基线数据来计算适当负载条件下 vGRF 的 5%变化目标(即高负载为+5%vGRF,低负载为-5%vGRF)。负载条件的目标与实时 vGRF 值一起显示在屏幕上,规定了每个肢体的步长间峰值垂直地面反作用力的变化。从步长间隔的时间序列(即持续时间)中,我们分析了步长间变异性的均值和标准差,以及通过去趋势波动分析(即 DFAα),分析每个反馈条件的时间持久性。高负载和低负载条件都表现出比对照条件下更具时间持久性的步长间隔(高负载:α=0.92,低负载:α=0.98),而对照条件下的步长间隔更具时间持久性(α=0.78;高负载与对照:p=0.026,低负载与对照:p=0.001)。总体而言,这些结果表明,改变下肢负荷会改变 ACLR 个体步长内部动力学的时间持久性,表明步态训练干预设计的意义以及反馈对运动策略的影响。