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首页> 外文会议>Annual international symposium of International Council on Systems Engineering >A Method for Analyzing Fundamental Kinesiological Motions of Human Body by Applying Interpretive Structural Modeling (ISM)
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A Method for Analyzing Fundamental Kinesiological Motions of Human Body by Applying Interpretive Structural Modeling (ISM)

机译：一种通过应用解释结构建模分析人体基本运动学运动的方法（ISM）

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The objective of this paper is to analyze interconnectedness of kinesiological motions by applying a well-known systems modeling approach called the Interpretive Structural Modeling (ISM). This approach is applied to the previously proposed Somatic Balance Restoration Therapy (SBRT), developed by one of the authors and offers a safe way in correcting imbalances and distortions that occur in the human body. The human body is a complex system composed of over 200 bones and 630 muscles that comprise the musculoskeletal system, which works not only as the frame for the human body, but as the engine of human kinetic motion as well. As a practitioner, one of the authors developed a visually identifiable diagnosis system through many years of accumulated therapy data. Although the authors attempted to find a more methodical approach to justify the SBRT by inventing the unique “Motion Diagram”, a more systematic approach was required for a more efficient and homogeneous treatment. In this paper, the fundamental patterns produced by the SBRT are mapped into an n-square matrix of dimension 70, based on the Fundamental Body Motions and analyzed by the ISM. This will be followed by graphical representations and classification of the body motions into several categories based on the degree of interaction and activeness. The results has revealed a priority of the fundamental motion patterns which helps find the most effective 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结构建模（ISM）的公知的系统建模方法来分析运动学运动的互连性。这种方法适用于先前提出的躯体平衡恢复治疗（SBRT），由其中一位作者开发，并在纠正人体中发生的不平衡和扭曲方面提供安全的方式。人体是一个复杂的系统，由200多个骨骼和630个肌肉组成，包括肌肉骨骼系统，这不仅可以作为人体的框架，而是作为人体动力学运动的发动机。作为一种从业者，其中一位作者通过多年的累积治疗数据开发了视觉识别的诊断系统。虽然作者试图通过发明独特的“运动图”来寻找更具有条理的方法来证明SBRT，但更有效和均匀的治疗需要更系统的方法。在本文中，基于基于基本体动作并由ISM分析，将SBRT产生的基本模式映射到尺寸70的N-方形矩阵。这将是根据互动和激活度的几个类别的图形表示和体内动作的分类。结果揭示了基本运动模式的优先级，有助于找到最有效的动作，用于从较大的尺寸集中识别不平衡或扭曲部件。

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