5.3.3 A Method for Analyzing Fundamental Kinesiological Motions of Human Body by Applying Interpretive Structural Modeling (ISM)
5.3.3 A Method for Analyzing Fundamental Kinesiological Motions of Human Body by Applying Interpretive Structural Modeling (ISM)
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5.3.3 应用解释结构模型（ISM）分析人体基本运动学运动的方法
DOI：
10.1002/j.2334-5837.2009.tb00987.x
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Y. Ohkami
中科院分区：
文献类型：
--
作者：
Munehiro Michael Kayo;Y. Ohkami
本文的目的是应用一种著名的系统建模方法-解释结构建模(ISM)来分析运动学运动的互联性。这种方法被应用于先前提出的躯体平衡恢复疗法(SBRT)，该疗法由作者之一开发，并提供了一种安全的方法来纠正人体中发生的失衡和扭曲。人体是一个复杂的系统，由200多块骨骼和630块肌肉组成，肌肉骨骼系统不仅是人体的框架，也是人体运动的引擎。作为一名实践者，其中一位作者通过多年积累的治疗数据开发了一套直观可识别的诊断系统。虽然作者试图通过发明独特的“运动图”来找到一种更有条理的方法来证明SBRT的合理性，但为了更有效和更均匀的治疗，需要更系统的方法。本文根据人体的基本运动，将SBRT产生的基本模式映射到一个70维的n方阵中，并用ISM进行分析。接下来将用图形表示身体运动，并根据相互作用的程度和活跃度将身体运动分类为几个类别。结果显示了基本运动模式的优先级，这有助于从更大的维度集中找到最有效的运动来识别不平衡或扭曲的部分。
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.