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Limb dominance changes in walking evolution explored by asymmetric correlations in gait dynamics

机译:步态动力学中非对称相关性探索步行进化中的肢体优势

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摘要

Fluctuations In the stride interval time series of unconstrained walking are not random but seem to exhibit long-range correlations that decay as a power law (Hausdorff et al (1995) [35]) Here, we examine whether asymmetries are present in the long-range correlations of different gait parameters (stride, swing and stance intervals) for the left and right limbs. Gait dynamics corresponding to 16 healthy subjects were obtained from the Physionet database. which contains stride, stance and swing intervals for both left and right limbs Detrended Fluctuation Analysis (DFA) revealed the presence of asymmetric long-range correlations in all gait cycle variables investigated A rich variety of scaling exponent dynamics was found, with the presence of synchronicity. decreased correlations and dominant correlations The results are discussed in terms of the hypothesis that reduced strength of long-range correlations reflect both enhanced stability and adaptability
机译:波动在无限制步行的步幅时间序列中,不是随机的,而是表现出随着幂律而衰减的远距离相关性(Hausdorff et al(1995)[35])。在这里,我们检查了长距离时是否存在不对称性。左右肢不同步态参数(步幅,挥杆和站立姿势间隔)的距离相关性。从Physionet数据库获得了与16名健康受试者相对应的步态动力学。包含左右肢的步幅,姿势和摆动间隔。去趋势波动分析(DFA)显示,在所研究的所有步态周期变量中均存在不对称的长期相关性。发现了多种缩放指数动态,并且具有同步性。降低的相关性和显性相关性根据以下假设讨论了结果:远程相关性的强度降低反映了增强的稳定性和适应性

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