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

Clinical and radiological long-term outcomes after resection of tarsal coalitions in children and adolescents: a case series with a minimum of a six year-follow-up.

International orthopaedics·2026
Same author

Ontogenetic changes in femoral morphology and joint loads in children.

Bone & joint research·2026
Same author

Interlimb strength asymmetry is task-specific: moderate reliability but inconsistent limb dominance in multi-joint dynamometry.

Frontiers in sports and active living·2026
Same author

Upper-Body Neuromechanical Coordination Strategies During Fatiguing Sustained Dead Hangs in Climbers.

European journal of sport science·2026
Same author

Modeling heart rate (HR) dynamics to reconstruct missing HR data in trail running.

BMC sports science, medicine & rehabilitation·2026
Same author

Differences in hip, knee, and ankle joint moments during squats across load intensities, gender classes, and performance level in elite powerlifters.

Scientific reports·2026
Same journal

Invaders taking over-Mollusc faunal change in volcanic barrier lakes of the Albertine Rift biodiversity hotspot.

PloS one·2026
Same journal

AI-driven molecular diversification and ligand-based optimization of macitentan derivatives targeting VEGFR1 and endothelin signaling pathways.

PloS one·2026
Same journal

Performance patterns and records in the world aquatics masters championships: Where do the most frequently represented nations among the top-ten masters swimmers come from?

PloS one·2026
Same journal

Modeling diurnal Temperature-Rainfall relationships under multicollinearity using PLS-SEM: A case study of Ghana.

PloS one·2026
Same journal

Organizational culture, social capital, and emergency capacity in primary healthcare institutions: A cross-sectional structural equation modeling study comparing ordinary and older communities.

PloS one·2026
Same journal

Impact of kidney function on the metabolome in the general population.

PloS one·2026
查看所有相关文章

相关实验视频

Updated: Jul 19, 2025

Paw-Print Analysis of Contrast-Enhanced Recordings PrAnCER: A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits
06:25

Paw-Print Analysis of Contrast-Enhanced Recordings PrAnCER: A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits

Published on: August 12, 2019

8.5K

强大的基于深度学习的跨越各种病理的步态事件检测.

Bernhard Dumphart1,2,3, Djordje Slijepcevic4, Matthias Zeppelzauer4

  • 1Center for Digital Health & Social Innovation, St. Pölten University of Applied Sciences, St. Pölten, Austria.

PloS one
|August 11, 2023
PubMed
概括
此摘要是机器生成的。

一个新的深度学习算法IntellEvent,准确地检测步态事件,如初始接触和3D步态分析中的脚走. 这种方法在各种病理中是强大的,并且优于现有的方法.

更多相关视频

3D Kinematic Gait Analysis for Preclinical Studies in Rodents
10:19

3D Kinematic Gait Analysis for Preclinical Studies in Rodents

Published on: August 3, 2019

10.7K
Home-Based Monitor for Gait and Activity Analysis
07:24

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

6.8K

相关实验视频

Last Updated: Jul 19, 2025

Paw-Print Analysis of Contrast-Enhanced Recordings PrAnCER: A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits
06:25

Paw-Print Analysis of Contrast-Enhanced Recordings PrAnCER: A Low-Cost, Open-Access Automated Gait Analysis System for Assessing Motor Deficits

Published on: August 12, 2019

8.5K
3D Kinematic Gait Analysis for Preclinical Studies in Rodents
10:19

3D Kinematic Gait Analysis for Preclinical Studies in Rodents

Published on: August 3, 2019

10.7K
Home-Based Monitor for Gait and Activity Analysis
07:24

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

6.8K

科学领域:

  • 生物力学 生物力学
  • 医疗技术 医疗技术 医学技术
  • 机器学习 机器学习

背景情况:

  • 准确估计步态事件对于3D步态分析 (3DGA) 是至关重要的.
  • 手动事件检测是耗时且主观的.
  • 自动化算法缺乏标准化,并且在病理学上的准确性各不相同.

研究的目的:

  • 介绍IntellEvent,一个新的深度学习算法,用于准确和强大的步态事件检测.
  • 为了解决3DGA当前手动和自动化方法的局限性.

主要方法:

  • 使用了1211名患有多种病理的患者和61名健康对照的回顾性临床3DGA数据集.
  • 使用长短期记忆 (LSTM) 开发了一个循环神经网络架构.
  • 在3D位置和速度数据上训练模型,以预测初始接触 (IC) 和脱足 (FO) 事件.

主要成果:

  • 智能仪表表现出高精度,检测IC事件在5.4毫秒内 (≥99%的检测率),FO事件在11.3毫秒内 (≥95%的检测率).
  • 超过了最先进的启发式方法和DeepEvent机器学习方法.
  • 一般化测试表明,由于实验室设置变化和捕获频率,可能存在挑战.

结论:

  • IntelliEvent为3DGA提供了自动步行事件检测的重大进展.
  • 该算法在多种下肢病理中显示出高精度和稳定性.
  • 需要进一步的研究,以确保在不同的实验室环境中实现泛化.