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DYNAMICS OF HUMAN SPINE IN JUMPS USING LYAPUNOV EXPONENTS

机译:用李雅普诺夫指数分析人脊柱中人脊柱的动力学

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摘要

Characterizing and quantifying the local dynamics of the human spine during various athletic exercises is important for therapeutic and physiotherapy reasons or athletic related effects on the human spine. In this study we computed the largest finite-time Lyapunov exponents for the spine of a human subject during an athletic exercise for several volunteers. The kinematic data was collected using the 3D motion capture system (Motion Realty Inc.). Four healthy male subjects were asked to perform two sets of 30 jumps. In order to draw a conclusion about the chaotic nature of the dynamics of the lumbar spine Lyapunov exponent spectrum was calculated for each volunteer which included four Lyapunov exponents, one negative, one very close to zero and two positive. Subjects 1, 2 and 4 registered a significant increase in the largest Lyapunov exponent from the first set jumps to the next. Subject 3 registered no change in the values of Lyapunov exponents. Nonlinear analysis of the human spine demonstrates the chaotic nature of the system. The computation of the largest Lyapunov exponents enables a more precise characterization of the dynamics of the human spine.
机译:由于治疗和物理疗法的原因或与运动有关的对人脊椎的影响,在各种体育锻炼中表征和量化人脊柱的局部动力学很重要。在这项研究中,我们为几名志愿者在体育锻炼中计算了人类受试者脊柱的最大有限时间Lyapunov指数。运动数据是使用3D运动捕捉系统(Motion Realty Inc.)收集的。要求四名健康的男性受试者进行两组30次跳跃。为了得出关于腰椎动力学动力学的混沌性质的结论,对每位志愿者计算了Lyapunov指数谱,其中包括四个Lyapunov指数,一个为负,一个非常接近零,两个为正。从第一个跳到第二跳,受试者1、2和4的Lyapunov最大指数显着增加。主题3的Lyapunov指数值未发生变化。人体脊柱的非线性分析证明了系统的混沌性质。最大Lyapunov指数的计算可以更精确地表征人的脊柱动力学。

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