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

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

Biological, biomechanical, and pain sensitivity effects of walk-run in people with self-reported knee osteoarthritis.

Frontiers in sports and active living·2026
Same author

Rugby tackle kinematics in adolescent players: effects of tackle height and shoulder side.

Sports biomechanics·2026
Same author

Dataset for rapid estimation of femoral neck loading during gait and dynamic exercises.

Scientific data·2026
Same author

Magnetic field control with dual robotic tunable magnetic end effectors.

Communications engineering·2026
Same author

Intra-individual reliability of blood bicarbonate responses and gastrointestinal symptoms following sodium citrate supplementation.

Journal of the International Society of Sports Nutrition·2026
Same author

Blood Flow Restriction Does Not Impair Ankle Proprioception in Healthy Male Adults.

Journal of strength and conditioning research·2026
Same journal

Influence of iliofemoral ligament laxity on hip joint contact forces during gait.

Journal of biomechanics·2026
Same journal

Associations of sagittal spinal alignment with shear wave velocity, thickness, and echo intensity of muscles attached to the spine and pelvis in healthy women.

Journal of biomechanics·2026
Same journal

The gait lab effect: symmetry restoration strategy after anterior cruciate ligament reconstruction is different in natural environments than the gait laboratory.

Journal of biomechanics·2026
Same journal

Mediolateral trunk control, rather than temporal gait control, is associated with treadmill walking adaptation in healthy older adults.

Journal of biomechanics·2026
Same journal

Examination of participant sex bias in international society of biomechanics conference abstract submissions: patterns across cohorts, countries, and contexts.

Journal of biomechanics·2026
Same journal

Shear wave velocity of biceps femoris and medial gastrocnemius in different positions and intensities: a cross-sectional study in healthy young males.

Journal of biomechanics·2026
查看所有相关文章

相关实验视频

Updated: Jul 2, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.8K

在使用生物力学特征时,优化机器学习分类性能的策略.

Bernard X W Liew1, Florian Pfisterer2, David Rügamer2

  • 1School of Sport, Rehabilitation and Exercise Sciences, University of Essex, Colchester, Essex, United Kingdom.

Journal of biomechanics
|February 20, 2024
PubMed
概括
此摘要是机器生成的。

机器学习模型可以使用生物机械数据预测骨科疾病,即使参与者数量有限. 像InceptionTime和XGBoost这样的先进算法显示出开发基于时间序列数据的医疗预测模型的前景.

关键词:
生物力学 生物力学深度学习是一种深度学习.步行方式 步行方式机器学习是机器学习.肌肉骨系统的疼痛整形外科 整形外科 整形外科

更多相关视频

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.5K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.7K

相关实验视频

Last Updated: Jul 2, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.8K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.5K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.7K

科学领域:

  • 生物力学 生物力学
  • 机器学习 机器学习
  • 整形外科 整形外科 整形外科

背景情况:

  • 开发具有生物力学特征的预测模型通常需要大样本大小,收集这些样本在后勤上具有挑战性.
  • 有限的样本大小在为医疗保健应用创建准确的生物力学预测模型方面构成了重大障碍.

研究的目的:

  • 研究现代机器学习算法的有效性,以克服生物力学预测模型的样本大小限制.
  • 将各种机器学习算法的性能与不同样本大小的生物力学数据集进行比较.

主要方法:

  • 对两个生物力学数据集的二次分析:步行数据集 (2295名参与者) 和反运动跳跃数据集 (31名参与者).
  • 输入特征包括下肢的三维地面反应力 (GRF).
  • 算法比较:多项式/LASSO回归,XGBoost,深度学习时间序列算法 (具有数据增强和转移学习).

主要成果:

  • 对于行走数据集,顶级模型包括InceptionTime与x12增强 (AUC 0.810),XGBoost (AUC 0.804) 和多项逻辑回归 (AUC 0.800).
  • 对于跳跃数据集,顶级模型是LASSO (AUC 1.00),InceptionTime与x8增强 (AUC 0.750) 和转移学习 (AUC 0.653).
  • 机器学习策略在生物力学数据分析中有效地解决了有限的样本大小.

结论:

  • 机器学习,特别是具有数据增强和转移学习的深度学习时间序列算法,可以有效地开发预测模型,尽管生物力学样本大小有限.
  • 这些基于机器学习的策略为医疗保健中创建替代预测模型提供了一种可行的方法,特别是在处理时间序列生物力学数据时.