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Life on Earth is carbon-based, as all macromolecules that make up living organisms contain carbon atoms. All organic compounds have a carbon backbone. Each carbon atom is tetravalent and can bond with four other atoms, making it an extraordinarily flexible component of biological molecules. Because carbon’s valence electrons are stable, it rarely becomes an ion. As the carbon chain increases in length, structural modifications such as ring structures, double bonds, and branching side...
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相关实验视频

Updated: May 4, 2026

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
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在现实世界行走时个性化外骨架辅助

Patrick Slade1,2, Mykel J Kochenderfer3, Scott L Delp1,2

  • 1Department of Mechanical Engineering, Stanford University, Stanford, CA, USA.

Nature
|October 12, 2022
PubMed
概括

在户外使用可穿戴传感器优化个性化外骨架辅助比实验室方法更快,更有效. 这种方法提高了步行速度,并减少了自然运动中的能量消耗.

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科学领域:

  • 生物力学
  • 机器人技术
  • 人与计算机的交互

背景情况:

  • 个性化外骨架辅助可显著提高步行速度和节能.
  • 目前的优化方法需要在非自然条件下进行漫长的实验室测试.

研究的目的:

  • 开发和验证一个快速的,现实世界的方法,以优化个性化的脚外骨架辅助.
  • 证明使用可穿戴传感器进行户外优化比传统实验室方法更有效,更快.

主要方法:

  • 通过实验室实验室的洞察来设计一个便携式脚外骨.
  • 使用可穿戴传感器和自然步行数据开发了数据驱动的户外优化方法.
  • 在公共场合以不同速度短暂步行时收集的数据.

主要成果:

  • 户外优化与实验室方法同样有效,但识别最佳参数的速度快四倍.
  • 在户外优化的辅助使自选步行速度提高了9%,而旅行能量降低了17%.
  • 在跑步机上以1.5米/秒的速度行走时,优化辅助可减少23%的代谢能量消耗.

结论:

  • 在现实条件下可以快速有效地进行外骨优化.
  • 可穿戴传感器和数据驱动的方法可以有效地个性化辅助设备.
  • 人类运动数据是提高个性化辅助设备性能的关键.