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首页> 外文期刊>Annals of Biomedical Engineering: The Journal of the Biomedical Engineering Society >Biofeedback training effects on minimum toe clearance variability during treadmill walking.
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Biofeedback training effects on minimum toe clearance variability during treadmill walking.

机译:生物反馈训练对跑步机行走过程中最小的趾间间隙变异性有影响。

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A number of variability analysis techniques, including Poincaré plots and detrended fluctuation analysis (DFA) were used to investigate minimum toe clearance (MTC) control during walking. Ten young adults walked on a treadmill for 10 min at preferred speed in three conditions: (i) no-intervention baseline, (ii) with biofeedback of MTC within a target range, and (iii) no-biofeedback retention. Mean, median, standard deviation (SD), and inter quartile range of MTC during biofeedback (45.57 ± 11.65, 44.98 ± 11.57, 7.08 ± 2.61, 8.58 ± 2.77 mm, respectively) and retention (56.95 ± 20.31, 56.69 ± 20.94, 10.68 ± 5.41, 15.38 ± 10.19 mm) were significantly greater than baseline (30.77 ± 9.49, 30.51 ± 9.49, 3.04 ± 0.77, 3.66 ± 0.91 mm). Relative to baseline, skewness was reduced in biofeedback and retention but only significantly for retention (0.88 ± 0.51, 0.63 ± 0.55, and 0.40 ± 0.40, respectively). Baseline Poincaré measures (SD1 = 0.25, SD2 = 0.34) and DFA (α1 = 0.72 and α2 = 0.64) were lower than biofeedback (SD1 = 0.58, SD2 = 0.83, DFA α1 = 0.76 and α2 = 0.92) with significantly greater variability in retention compared to biofeedback only in the long-term SD2 and α2 analyses. Increased DFA longer-term correlations α2 in retention confirm that a novel gait pattern was acquired with a longer-term variability structure. Short- and long-term variability analyses were both useful in quantifying gait adaptations with biofeedback. The findings provide evidence that MTC can be modified with feedback, suggesting future applications in gait training procedures for impaired populations designed to reduce tripping risk.
机译:包括庞加莱图和去趋势波动分析(DFA)在内的许多可变性分析技术均用于研究步行过程中最小脚趾间隙(MTC)的控制。十个年轻人在三种情况下以首选速度在跑步机上行走10分钟:(i)不干预基线,(ii)MTC的生物反馈在目标范围内,以及(iii)没有生物反馈。生物反馈过程中MTC的平均值,中位数,标准偏差(SD)和四分位间距(分别为45.57±11.65、44.98±11.57、7.08±2.61、8.58±2.77 mm)和保留率(56.95±20.31、56.69±20.94、10.68 ±5.41,15.38±10.19 mm)显着大于基线(30.77±9.49,30.51±9.49,3.04±0.77,3.66±0.91 mm)。相对于基线,生物反馈和保留的偏斜度降低了,但保留的偏斜率却显着降低(分别为0.88±0.51、0.63±0.55和0.40±0.40)。基线庞加莱度量(SD1 = 0.25,SD2 = 0.34)和DFA(α1= 0.72和α2= 0.64)低于生物反馈(SD1 = 0.58,SD2 = 0.83,DFAα1= 0.76和α2= 0.92)仅在长期SD2和α2分析中,与生物反馈相比保留率更高。增加的DFA长期相关性α2保留率证实了具有长期可变性结构的新型步态模式。短期和长期变异性分析都可用于量化生物反馈的步态适应。这些发现提供了可以通过反馈修改MTC的证据,表明将来在步态训练程序中可用于旨在降低绊倒风险的残障人群。

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