Percept Mot Skills. 2014 Apr;118(2):331-46. doi: 10.2466/30.26.PMS.118k18w8.
Gait timing dynamics of treadmill and overground running were compared. Nine trained runners ran treadmill and track trials at 80, 100, and 120% of preferred pace for 8 min. each. Stride time series were generated for each trial. To each series, detrended fluctuation analysis (DFA), power spectral density (PSD), and multiscale entropy (MSE) analysis were applied to infer the regime of control along the randomness-regularity axis. Compared to overground running, treadmill running exhibited a higher DFA and PSD scaling exponent, as well as lower entropy at non-preferred speeds. This indicates a more ordered control for treadmill running, especially at non-preferred speeds. The results suggest that the treadmill itself brings about greater constraints and requires increased voluntary control. Thus, the quantification of treadmill running gait dynamics does not necessarily reflect movement in overground settings.
比较了跑步机和地面跑步的步态时间动态。9 名训练有素的跑步者以 80%、100%和 120%的最佳速度在跑步机和跑道上分别进行了 8 分钟的试验。为每个试验生成了步幅时间序列。对每个序列，应用去趋势波动分析（DFA）、功率谱密度（PSD）和多尺度熵（MSE）分析来推断沿着随机性-规律性轴的控制状态。与地面跑步相比，跑步机跑步在非最佳速度下表现出更高的 DFA 和 PSD 标度指数，以及更低的熵。这表明跑步机跑步的控制更加有序，尤其是在非最佳速度下。结果表明，跑步机本身带来了更大的限制，需要增加自愿控制。因此，跑步机跑步步态动态的量化不一定反映地面跑步的运动。
