Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Clearance Models: Noncompartmental Models01:17

Clearance Models: Noncompartmental Models

62
Clearance is a pharmacokinetic parameter traditionally defined by compartment models, signifying the rate at which a drug is expelled from the body. However, a noncompartmental model offers an alternative method for assessing clearance, primarily employing empirical data obtained after administering a single drug dose.
The noncompartmental approach capitalizes on extensive sampling data, correlating the volume of distribution to systemic exposure and the administered dosage. This method enables...
62
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

43
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
43

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Linking vertical ground reaction force loading rates and physical activity levels in individuals with and without patellofemoral pain.

Journal of biomechanics·2025
Same author

Superficial and Deep Gluteal Muscle Activation During Common Therapeutic Exercises: A Muscle Functional Magnetic Resonance Imaging Analysis.

Sports health·2025
Same author

Poincaré analysis detects pathological limb loading rate variability in post-anterior cruciate ligament reconstruction individuals.

Gait & posture·2024
Same author

Effect of Purposely Induced Asymmetric Walking Perturbations on Limb Loading After Anterior Cruciate Ligament Reconstruction.

Orthopaedic journal of sports medicine·2023
Same author

Time series modeling characterizes stride time variability to identify individuals with neurodegenerative disorders.

Human movement science·2023
Same author

A new metric for characterizing limb loading dynamics in post anterior cruciate ligament reconstruction individuals.

Gait & posture·2023

相关实验视频

Updated: Jul 8, 2025

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
06:48

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

9.2K

使用负载率变化区分ACLR后个体的分类模型.

Noah A Davidson, Yannis K Halkiadakis, Kristin D Morgan

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 12, 2023
    PubMed
    概括
    此摘要是机器生成的。

    机器学习模型有效地使用非线性步态变化指标对前十字带重建 (ACLR) 后的个体进行分类. 这种方法有助于在ACLR后的患者中诊断肢体负荷和运动控制的改变.

    更多相关视频

    An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles
    09:27

    An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles

    Published on: August 25, 2020

    4.3K
    Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
    08:13

    Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

    Published on: May 10, 2019

    6.4K

    相关实验视频

    Last Updated: Jul 8, 2025

    Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
    06:48

    Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

    Published on: June 25, 2019

    9.2K
    An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles
    09:27

    An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles

    Published on: August 25, 2020

    4.3K
    Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
    08:13

    Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

    Published on: May 10, 2019

    6.4K

    科学领域:

    • 生物力学 生物力学
    • 运动学 运动学
    • 发动机控制器的控制器

    背景情况:

    • 在前交叉带重建后 (ACLR) 个体的步态变化通常表明运动控制的改变.
    • 量化四肢负荷变异性是一项挑战,但非线性分析在检测步态变化方面表现有前途.

    研究的目的:

    • 开发和评估机器学习模型,根据非线性步态变化指标对ACLR后个体进行分类.
    • 调查肢体负荷率变化度量的有效性,以区分健康对照和ACLR后个体.

    主要方法:

    • 在快速行走试验期间,从垂直地面反应力数据中提取了非线性指标.
    • 机器学习模型使用这些非线性指标进行训练,以对参与者进行分类.
    • 使用了带有袋装策略的决策树分类器.

    主要成果:

    • 性能最好的模型达到73%的准确性,100%的精度,AUC得分为0.77.
    • 该模型成功地区分了健康的对照组和ACLR后的参与者.
    • 边缘负载率变化指标在分类中被证明是有效的.

    结论:

    • 使用非线性步态变化的机器学习模型可以准确地分类ACLR后个体.
    • 这些方法对诊断病态四肢负荷和改变运动控制具有重要的临床意义.
    • 该分类模型提供了一种数据驱动的方法,以告知康复决策.