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相关概念视频

Uncertainty: Overview00:59

Uncertainty: Overview

496
In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
496
Uncertainty: Confidence Intervals00:54

Uncertainty: Confidence Intervals

3.1K
The confidence interval is the range of values around the mean that contains the true mean. It is expressed as a probability percentage. The interpretation of a 95% confidence interval, for instance, is that the statistician is 95% confident that the true mean falls within the interval. The upper and lower limits of this range are known as confidence limits. The confidence limits for the true mean are estimated from the sample's mean, the standard deviation, and the statistical factor...
3.1K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

54
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
54
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

4.1K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
4.1K
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

621
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
621
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

453
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
453

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相关实验视频

Updated: May 24, 2025

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
04:13

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Published on: February 8, 2019

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步行速度和不确定性估计使用混合密度网络为动态的门诊环境.

Jewoo Lee, Bokman Lim, Sungjoon Choi

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    概括

    这项研究引入了一个新的基于CNN的混合密度网络 (CMDN),以准确估计老年人的步行速度. CMDN提供不确定性信息,改善各种环境中的康复设备评估.

    科学领域:

    • 老年学是一门学科.
    • 生物医学工程 生物医学工程
    • 康复技术 康复技术 康复技术

    背景情况:

    • 衰老导致肌肉强度和心血管功能下降,步行速度和活动水平下降.
    • 可穿戴行走康复设备旨在通过减少努力或增强肌肉功能来帮助老年人.
    • 准确测量步行速度对于客观评估康复进展至关重要.

    研究的目的:

    • 开发一种先进的方法,使用可穿戴设备准确估计老年人的步行速度.
    • 解决在各种环境条件下现有的步行速度估计方法的局限性.
    • 为了更全面的评估,将不确定性估计纳入步行速度测量.

    主要方法:

    • 介绍一种基于卷积神经网络 (CNN) 的新型混合密度网络 (CMDN) 结构.
    • 通过对20名老年参与者的实验验证实CMDN模型.
    • 在各种场景中测试系统的性能,包括平面和楼梯下降.

    主要成果:

    • 与现有的方法相比,CMDN结构在估计步行速度方面表现出更高的准确性.
    • 该网络提供了有价值的不确定性信息,间接反映了步行环境的复杂性.
    • 在不同的地形上观察到成功的表现,表明了强度.

    更多相关视频

    Trajectory Data Analyses for Pedestrian Space-time Activity Study
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    Trajectory Data Analyses for Pedestrian Space-time Activity Study

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    Last Updated: May 24, 2025

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    04:13

    Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

    Published on: February 8, 2019

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    Trajectory Data Analyses for Pedestrian Space-time Activity Study
    16:14

    Trajectory Data Analyses for Pedestrian Space-time Activity Study

    Published on: February 25, 2013

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    Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
    10:52

    Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

    Published on: April 13, 2016

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    结论:

    • 在各种现实场景中,CMDN为可靠的步行速度估计提供了有希望的基础.
    • CMDN的不确定性估计能力可以更深入地了解佩戴者的行走状况.
    • 这项技术有可能在个性化的老年人康复计划中得到广泛应用.