运行动力学,动力学和肌肉激活的数据集在不同的速度,表面梯度,节奏和前方的干部倾斜时
Bas Van Hooren1, Kenneth Meijer1
1NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, Department of Nutrition and Movement Sciences, Maastricht, the Netherlands.
Data in brief
|January 17, 2025
概括
这一数据集提供了来自19个健康个体的综合运行生物力学数据,涉及各种性能水平. 它包括在各种运行条件下详细的动力学和动力学数据,用于未来的研究和模型验证.
科学领域:
- 生物力学 生物力学
- 运动科学 运动科学 运动科学
- 人类运动分析 人类运动分析
背景情况:
- 了解跑步生物力学对于预防伤害和提高表现至关重要.
- 现有的数据集可能缺乏跨各种运行条件的全面数据.
- 跨绩效水平的健康个体提供了有价值的基线.
研究的目的:
- 为了呈现一个丰富的运行生物力学数据集.
- 促进模型验证和生物力学结果调查的研究.
- 建立一个健康年轻人的跑步生物力学参考数据库.
主要方法:
- 使用了一台带有仪器的跑步机,采用了3D运动捕捉和表面电肌图.
- 收集了来自19名健康参与者的数据 (从未训练到精英运动员).
- 在13个条件下测量了生物力学:5个速度,4个梯度,3个节奏,以及车倾斜的变化.
主要成果:
- 提供原始 (.C3D) 和处理数据 (联合角度,力等) 的数据. 在使用OpenSim 3.3.3时.
- 包括详细的3D标记位置,地面反应力和肌肉激活.
- 收集了所有参与者的标准人体统计数据 (身高,体重).
结论:
- 该数据集为运行生物力学提供了有价值的见解.
- 它可以重复用于验证肌肉骨模型.
- 在各种运行场景中作为生物力学结果的参考.
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