一个全面的数据集生物力学和运动控制在人类行走时与离散的机械干扰
Dana L Lorenz1, Antonie J van den Bogert2
1Department of Chemical and Biomedical Engineering, Cleveland State University, Cleveland, Ohio, United States.
PeerJ
|May 3, 2024
概括
这项研究提供了关于人类平衡对行走干扰的反应的新数据集. 这些数据可以促进对神经控制和机器人系统的理解.
科学领域:
- 生物力学 生物力学
- 机器人技术 机器人技术 机器人技术
- 神经科学是一个神经科学.
背景情况:
- 人类在行走时的平衡是至关重要的.
- 有限的公共数据存在于对不稳定性的反应性步行反应.
研究的目的:
- 创建和共享一个全面的数据集的人类反应平衡反应在步态扰乱.
- 促进神经控制,机器人技术和临床应用方面的研究.
主要方法:
- 收集了来自10名参与者在带有仪器的跑步机上行走的数据,带有随机带速扰动.
- 利用运动捕捉,8个惯性测量单位 (IMU) 和主要腿部肌肉的电肌图 (EMG).
- 记录了标记轨迹,力板数据,EMG和皮带转速以进行详细分析.
主要成果:
- 现在可以获得包括标记轨迹,力板,EMG和皮带速度数据在内的全面数据集.
- 大多数参与者也提供IMU数据.
- 该数据集捕获了详细的生物机械和神经肌肉对步态不稳定性的反应.
结论:
- 发布的数据集为人类步行控制机制提供了有价值的见解.
- 该资源支持理解神经反,开发生物灵感机器人,以及为平衡障碍创造临床工具的进步.
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