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相关概念视频

Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

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Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
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Polarimetry finds application in chemical kinetics to measure the concentration and reaction kinetics of optically active substances during a chemical reaction. Optically active substances have the capability of rotating the plane of polarization of linearly polarized light passing through them—a feature called optical rotation. Optical activity is attributed to the molecular structure of substances. Normal monochromatic light is unpolarized and possesses oscillations of the electrical...
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Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
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In control systems, test signals are essential for evaluating performance under various conditions. The ramp function is effective for systems undergoing gradual changes, while the step function is suitable for assessing systems facing sudden disturbances. For systems subjected to shock inputs, the impulse function is the most appropriate test signal.
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Gentamicin, an aminoglycoside antibiotic, is commonly administered via intermittent intravenous infusion to treat severe infections. An intermittent one-hour infusion of gentamicin, administered at eight-hour intervals, allows for precise control of plasma drug concentrations, minimizing toxicity while ensuring therapeutic efficacy. Pharmacokinetic principles govern the dynamics of plasma concentrations and can be mathematically described using specific equations.The plasma drug concentration...
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相关实验视频

Updated: May 6, 2026

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb
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使用惯性测量单位检测动态稳定性变化在多条件步态实验.

Yasuhirio Akiyama1, Kyogo Kazumura2, Shogo Okamoto3

  • 1Faculty of Textile Science and Technology, Shinshu University, Nagano 386-8567, Japan.

Sensors (Basel, Switzerland)
|November 9, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种可穿戴系统,使用惯性测量单位 (IMU) 来估计步行稳定性 (稳定性边际). 卷积神经网络达到90%以上的准确性,为日常步行评估提供了一个有前途的工具.

关键词:
利亚普诺夫指数的指数是卷积神经网络是一种卷积神经网络.步态稳定 步态稳定 步态稳定惯性测量单位是一种惯性测量单位.稳定性边际的稳定性

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科学领域:

  • 生物力学 生物力学
  • 可穿戴技术可穿戴技术
  • 机器学习 机器学习

背景情况:

  • 步态评估对于评估移动性和稳定性至关重要.
  • 目前的方法通常需要控制的实验室设置.
  • 可穿戴式传感器为不引人注目的,现实世界的步态分析提供了潜力.

研究的目的:

  • 开发和验证使用惯性测量单位 (IMU) 的可穿戴步态评估方法.
  • 通过使用卷积神经网络 (CNN) 来估计来自IMU加速数据的稳定性边际 (MoS).
  • 在各种条件下调查MoS与其他步行稳定性指数之间的关系.

主要方法:

  • 利用放置在不同身体部位的五个IMU收集加速时间序列数据.
  • 开发了一个CNN模型,从IMU数据估计MoS.
  • 通过改变跑步机速度和诱导与膝盖-脚-脚形状的不对称性来模拟不同的步态条件.
  • 检查了MoS,利亚普诺夫指数和多站点时间序列 (MSTS) 指数之间的相关性.

主要成果:

  • 美国有线电视新闻网 (CNN) 模型在向前和向侧方向分类MoS时达到90%以上的准确性.
  • 在MoS和利亚普诺夫指数或MSTS指数之间观察到较弱的相关性.
  • 研究结果表明,这些指数可能反映了步态稳定的不同方面.

结论:

  • 使用CNN的基于IMU的可穿戴方法可以准确地估计MoS用于步态评估.
  • 这种方法显示出在日常环境中评估步行稳定的潜力.
  • 需要进一步的研究来理解不同稳定性指数提供的互补信息.