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从人类脚印形态解读运动生物力学。

Interpreting locomotor biomechanics from the morphology of human footprints.

作者信息

Hatala Kevin G, Wunderlich Roshna E, Dingwall Heather L, Richmond Brian G

机构信息

Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, D-04103 Leipzig, Germany; Center for the Advanced Study of Hominid Paleobiology, Department of Anthropology, The George Washington University, 800 22(nd) St., NW, Suite 6000, Washington, DC 20052, USA.

Department of Biology, James Madison University, MSC 7801, Harrisonburg, VA 22807, USA.

出版信息

J Hum Evol. 2016 Jan;90:38-48. doi: 10.1016/j.jhevol.2015.08.009. Epub 2015 Nov 18.

Abstract

Fossil hominin footprints offer unique direct windows to the locomotor behaviors of our ancestors. These data could allow a clearer understanding of the evolution of human locomotion by circumventing issues associated with indirect interpretations of habitual locomotor patterns from fossil skeletal material. However, before we can use fossil hominin footprints to understand better the evolution of human locomotion, we must first develop an understanding of how locomotor biomechanics are preserved in, and can be inferred from, footprint morphologies. In this experimental study, 41 habitually barefoot modern humans created footprints under controlled conditions in which variables related to locomotor biomechanics could be quantified. Measurements of regional topography (depth) were taken from 3D models of those footprints, and principal components analysis was used to identify orthogonal axes that described the largest proportions of topographic variance within the human experimental sample. Linear mixed effects models were used to quantify the influences of biomechanical variables on the first five principal axes of footprint topographic variation, thus providing new information on the biomechanical variables most evidently expressed in the morphology of human footprints. The footprint's overall depth was considered as a confounding variable, since biomechanics may be linked to the extent to which a substrate deforms. Three of five axes showed statistically significant relationships with variables related to both locomotor biomechanics and substrate displacement; one axis was influenced only by biomechanics and another only by the overall depth of the footprint. Principal axes of footprint morphological variation were significantly related to gait type (walking or running), kinematics of the hip and ankle joints and the distribution of pressure beneath the foot. These results provide the first quantitative framework for developing hypotheses regarding the biomechanical patterns reflected by fossil hominin footprints by demonstrating the statistically significant effects of specific kinematic variables on patterns of variation in footprint topography.

摘要

古人类足迹化石为了解我们祖先的运动行为提供了独特的直接窗口。这些数据可以通过规避与从化石骨骼材料间接解读习惯性运动模式相关的问题,更清晰地了解人类运动的进化。然而,在我们能够利用古人类足迹化石更好地理解人类运动的进化之前,我们必须首先了解运动生物力学是如何在足迹形态中保存下来的,以及如何从足迹形态中推断出来。在这项实验研究中,41名习惯赤脚的现代人在可控条件下留下足迹,其中与运动生物力学相关的变量可以被量化。从这些足迹的三维模型中获取区域地形(深度)测量数据,并使用主成分分析来识别描述人类实验样本中地形变化最大比例的正交轴。线性混合效应模型用于量化生物力学变量对足迹地形变化的前五个主轴的影响,从而提供关于在人类足迹形态中最明显表达的生物力学变量的新信息。足迹的整体深度被视为一个混杂变量,因为生物力学可能与底物变形的程度有关。五个轴中的三个与与运动生物力学和底物位移相关的变量显示出统计学上的显著关系;一个轴仅受生物力学影响,另一个轴仅受足迹的整体深度影响。足迹形态变化的主轴与步态类型(行走或跑步)、髋关节和踝关节的运动学以及足底压力分布显著相关。这些结果通过证明特定运动学变量对足迹地形变化模式的统计学显著影响,为提出关于古人类足迹所反映的生物力学模式的假设提供了第一个定量框架。

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