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A Method for Analyzing Fundamental Kinesiological Motions of HumanBody by Applying Interpretive Structural Modeling (ISM)

机译:通过解释性结构建模(ISM)分析人体基本运动学运动的方法

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The objective of this paper is to analyze interconnectedness of kinesiological motions by applying arnwell-known systems modeling approach called the Interpretive Structural Modeling (ISM). This approach isrnapplied to the previously proposed Somatic Balance Restoration Therapy (SBRT), developed by one of thernauthors and offers a safe way in correcting imbalances and distortions that occur in the human body. Thernhuman body is a complex system composed of over 200 bones and 630 muscles that comprise thernmusculoskeletal system, which works not only as the frame for the human body, but as the engine of humanrnkinetic motion as well. As a practitioner, one of the authors developed a visually identifiable diagnosisrnsystem through many years of accumulated therapy data. Although the authors attempted to find a morernmethodical approach to justify the SBRT by inventing the unique “Motion Diagram”, a more systematicrnapproach was required for a more efficient and homogeneous treatment. In this paper, the fundamentalrnpatterns produced by the SBRT are mapped into an n-square matrix of dimension 70, based on thernFundamental Body Motions and analyzed by the ISM. This will be followed by graphical representationsrnand classification of the body motions into several categories based on the degree of interaction andrnactiveness. The results has revealed a priority of the fundamental motion patterns which helps find the mostrneffective motions to be used for identifying imbalanced or distorted parts from the larger dimension set.
机译:本文的目的是通过应用称为解释性结构建模(ISM)的众所周知的系统建模方法来分析运动学运动的相互联系。该方法被应用于其中一位作者开发的先前提出的躯体平衡恢复疗法(SBRT),并提供了一种纠正人体内失衡和畸变的安全方法。人体是由200多个骨骼和630块肌肉组成的复杂系统,其中包括肌肉骨骼系统,它不仅是人体的骨架,而且还是人体运动的引擎。作为一名从业者,其中一位作者通过多年积累的治疗数据开发了一种视觉可识别的诊断系统。尽管作者试图通过发明独特的“运动图”来找到更合理的方法来证明SBRT,但仍需要更系统的方法来进行更有效,更均匀的治疗。在本文中,基于人体基本运动将SBRT产生的基本模式映射到尺寸为70的n平方矩阵中,并通过ISM进行了分析。随后将进行图形表示,并根据交互作用和不活跃程度将人体运动分为几类。结果表明,基本运动模式具有较高的优先级,可帮助找到最有效的运动,以便从较大的尺寸集中识别不平衡或变形的零件。

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