用于评估正常和病理步态的生物力学参数的识别和分析:文献综述

Juan C Arellano-González, H. I. Medellín-Castillo, J. Cervantes-Sánchez
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引用次数: 4

摘要

对人类步态的分析是早期和及时识别疾病和病理,以及后续治疗和康复计划的有价值的工具。然而,尽管文献中的一些研究工作已经将人类步态评估作为一种诊断工具,但很少有工作关注于此类实践所需的生物力学参数和指标。这项工作提出了一项调查的结果,该调查旨在识别和分析文献中用于评估人类病理和正常行走的生物力学参数。为此,我们进行了文献综述,以检测和分析生物力学参数。根据应用领域提出了这些参数的分类,包括临床、体育和勘探。这些参数也根据问题的起源分为肌肉骨骼,神经和循环。利用集合理论对识别出的生物力学参数进行了分析和讨论。结果表明,步态的时空参数分析允许详细和经济的研究这种运动模式。最常用的步态参数有:步长、步长、步宽、步态速度、步态阶段、节奏、摇摆时间和站立时间。另一方面,临床领域的步态研究几乎使用了文献中报道的所有步态参数,即根据所分析的病理类型的空间、时间、角度、力等特定参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification and Analysis of the Biomechanical Parameters Used for the Assessment of Normal and Pathological Gait: A Literature Review
The analysis of human gait represents a valuable tool for an early and timely identification of diseases and pathologies, as well as to follow up treatments and rehabilitation programs. However, although several research works in the literature have addressed the assessment of human gait as a diagnostic tool, few works have focused on the biomechanical parameters and metrics needed for such practice. This work presents the results of an investigation carried out to identify and analyze the biomechanical parameters used in the literature to assess the human walking, both pathological and normal. For this purpose, a literature review was conducted to detect and analyze the biomechanical parameters. A classification of these parameters based on the application area is proposed and comprises clinical, sport and exploration. These parameters are also classified according to the origin of the problem into musculoskeletal, neurological and circulatory. The biomechanical parameters identified are analyzed and discussed using set theory. The results indicate that the analysis of the spatiotemporal parameters of the gait allows a detailed and economic study of this mode of locomotion. The most used gait parameters are: step length, stride length, step width, gait speed, gait phases, cadence, swing time and stance time. On the other hand, the study of gait in the clinical area makes use of nearly all the gait parameters reported in the literature, i.e. spatial, temporal, angular, force and other specific parameters according to the type of pathology being analyzed.
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