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Analysis of Interrelationships among Voluntary and Prosthetic Leg Joint Parameters Using Cyclograms

机译:使用脚踏圈图分析自愿和假肢腿关节参数之间的相互关系

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摘要

The walking mechanism of a prosthetic leg user is a tightly coordinated movement of several joints and limb segments. The interaction among the voluntary and mechanical joints and segments requires particular biomechanical insight. This study aims to analyze the inter-relationship between amputees' voluntary and mechanical coupled leg joints variables using cyclograms. From this analysis, the critical gait parameters in each gait phase were determined and analyzed if they contribute to a better powered prosthetic knee control design. To develop the cyclogram model, 20 healthy able-bodied subjects and 25 prosthesis and orthosis users (10 transtibial amputees, 5 transfemoral amputees, and 10 different pathological profiles of orthosis users) walked at their comfortable speed in a 3D motion analysis lab setting. The gait parameters (i.e., angle, moment and power for the ankle, knee and hip joints) were coupled to form 36 cyclograms relationship. The model was validated by quantifying the gait disparities of all the pathological walking by analyzing each cyclograms pairs using feed-forward neural network with backpropagation. Subsequently, the cyclogram pairs that contributed to the highest gait disparity of each gait phase were manipulated by replacing it with normal values and re-analyzed. The manipulated cyclograms relationship that showed highest improvement in terms of gait disparity calculation suggested that they are the most dominant parameters in powered-knee control. In case of transfemoral amputee walking, it was identified using this approach that at each gait sub-phase, the knee variables most responsible for closest to normal walking were: knee power during loading response and mid-stance, knee moment and knee angle during terminal stance phase, knee angle and knee power during pre-swing, knee angle at initial swing, and knee power at terminal swing. No variable was dominant during mid-swing phase implying natural pendulum effect of the lower limb between the initial and terminal swing phases. The outcome of this cyclogram adoption approach proposed an insight into the method of determining the causal effect of manipulating a particular joint's mechanical properties toward the joint behavior in an amputee's gait by determining the curve closeness, C, of the modified cyclogram curve to the normal conventional curve, to enable quantitative judgment of the effect of changing a particular parameter in the prosthetic leg gait.
机译:假肢使用者的行走机制是几个关节和肢体节段的紧密协调运动。自愿关节与机械关节和节段之间的相互作用需要特殊的生物力学见解。这项研究旨在分析使用被测人的被截肢者的自愿和机械耦合腿关节变量之间的相互关系。通过该分析,可以确定并分析每个步态阶段中的关键步态参数,如果它们有助于更好的动力假肢膝关节控制设计。要开发该听力图模型,需要20名健康健全的受试者以及25名假肢和矫形器使用者(10名经胫骨截肢者,5名经股骨截肢者和10种不同的矫形器使用者病理特征)在3D运动分析实验室环境中以舒适的速度行走。步态参数(即踝关节,膝关节和髋关节的角度,力矩和力量)被耦合以形成36个圈线图关系。通过使用前向神经网络和反向传播分析每个心动图对,通过量化所有病理学步态的步态差异来验证模型。随后,通过将步态视差替换为正常值并对其进行重新分析,从而操纵了对每个步态相均具有最大步态差异的内线图对。在步态视差计算方面显示出最大改进的可控内控图关系表明,它们是电动膝关节控制中最主要的参数。在经股截肢者步行的情况下,使用这种方法可以确定,在每个步态亚相中,最接近正常步行的膝关节变量为:负荷反应和中间姿势时的膝关节力量,终末期的膝盖力矩和膝关节角度站立阶段,预摆时的膝盖角度和膝盖力量,初次挥杆时的膝盖角度以及终极挥杆时的膝盖力量。在挥杆中期,没有变量占主导地位,这暗示着在初始和最终挥杆阶段之间下肢的自然摆效应。通过采用这种线描图方法的结果,可以通过确定修改后的线描图曲线与正常常规曲线的曲线紧密度C来确定一种方法,该方法可以确定操纵特定关节的机械特性对截肢者步态中的关节行为的因果关系。曲线,以定量判断改变假肢步态中特定参数的效果。

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