滑板运动中的相关生物力学变量:文献综述。

Juan Baus, Ethan Nguyen, John R Harry, James Yang
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引用次数: 0

摘要

滑板运动曾主要被视为青少年的一种交通和娱乐手段,如今已成为一项公认的职业运动,在全球范围内广受欢迎。随着滑板运动最近被列入奥运会比赛项目,全面了解解释滑板运动表现的生物力学也变得越来越迫切。本文献综述旨在整合该领域的知识,重点关注有关滑板骑行和技巧的实验和建模研究。选择研究的标准包括内容相关性和出版年份,时间跨度为过去二十年,并在交叉引用开创性著作后进一步追溯到 1980 年。同行评审期刊论文、会议论文集和书籍均在考虑之列,并在 SCOPUS、PubMed、Scielo 和 Taylor & Francis 等电子数据库中进行了全面搜索。了解滑板运动的生物力学方面对于推广滑板运动和确保所有从业人员的安全至关重要。对身体动力学、运动学和肌肉激活等因素的深入了解是了解这项运动细微差别的基础性步骤,对临床和生物力学研究都有影响。惯性测量单元(IMU)和肌电图(EMG)等现代数据收集系统为了解滑板运动中的人体表现提供了前所未有的视角,如关节运动范围、协调性和肌肉激活,无论是在休闲骑行还是在执行复杂的技巧和动作时。开发强大的建模方法也为提高滑板训练和性能带来了希望。最重要的是,这些模型可以作为了解受伤机制和实施策略的初步框架,以提高运动成绩和降低受伤风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relevant Biomechanical Variables in Skateboarding: A Literature Review.

Skateboarding, once regarded primarily as a means of transportation and entertainment for youth, has become a recognized professional sport, gaining global popularity. With its recent inclusion in the Olympics, a growing imperative exists to comprehensively understand biomechanics explaining skateboarding performance. This literature review seeks to consolidate knowledge within this domain, focusing on experimental and modeling studies about skateboard riding and tricks. The criteria for study selection encompassed content relevance and publication year, spanning from the last two decades and extending further back to 1980 following cross-referencing of seminal works. Peer-reviewed journal articles, conference proceedings, and books were considered, with comprehensive searches conducted on electronic databases, including SCOPUS, PubMed, Scielo, and Taylor & Francis. Comprehending the biomechanical facets of skateboarding is essential in promoting its use and ensuring safety among all practitioners. Insights into factors such as body kinetics, kinematics, and muscle activation represent a foundational step toward understanding the nuances of this sport with implications for both clinical and biomechanical research. Modern data collection systems such as inertial measurement units (IMU) and electromyography (EMG) offer unprecedented insights into human performance during skateboarding, such as joint range of motion, coordination, and muscle activation, whether in casual riding or executing complex tricks and maneuvers. Developing robust modeling approaches also holds promise for enhancing skateboarding training and performance. Crucially, these models can serve as the initial framework for understanding injury mechanisms and implementing strategies to improve performance and mitigate injury risks.

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