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

STANet: A Surgical Gesture Recognition Method Based on Spatiotemporal Fusion.

Annals of the New York Academy of Sciences·2025
Same author

Tremor Estimation and Removal in Robot-Assisted Surgery Using Improved Enhanced Band-Limited Multiple Fourier Linear Combiner.

The international journal of medical robotics + computer assisted surgery : MRCAS·2024
Same author

Clinical and Genetic Characteristics of BCG Disease in Chinese Children: a Retrospective Study.

Journal of clinical immunology·2023
Same author

A multimorphic mutation in IRF4 causes human autosomal dominant combined immunodeficiency.

Science immunology·2023
Same author

Assessment of street forest characteristics in four African cities using google street view measurement: Potentials and implications.

Environmental research·2023
Same author

Increased expression of the TLR7/9 signaling pathways in chronic active EBV infection.

Frontiers in pediatrics·2023

相关实验视频

Updated: Jan 9, 2026

Robotic-Guided Stereoelectroencephalography for Invasive Epilepsy Monitoring
11:28

Robotic-Guided Stereoelectroencephalography for Invasive Epilepsy Monitoring

Published on: June 13, 2025

1.2K

在机器人辅助手术中震动估计和过.

Boqiang Jia1,2, Wenjie Wang1,2, Xin Tian1,2

  • 1Xian Polytechnic University Branch of Shaanxi Artificial Intelligence Joint Laboratory, Xi'an Polytechnic University, Shaangu Avenue, Xi'an, 710600 Shaanxi China.

Cognitive neurodynamics
|December 9, 2025
PubMed
概括

这项研究引入了一种深度学习方法,通过整合长期和短期信号特征来预测和抑制手术手震. 这种新的方法显著减少了震估计误差,提高了手术机器人的精度.

关键词:
运动预测运动预测计算机辅助手术是计算机辅助的手术.深度学习是一种深度学习.振动过的过方式

更多相关视频

MRI-guided Focused Ultrasound Thalamotomy for Patients with Medically-refractory Essential Tremor
05:54

MRI-guided Focused Ultrasound Thalamotomy for Patients with Medically-refractory Essential Tremor

Published on: December 13, 2017

14.7K
A Teleoperated Robotic System-Assisted Percutaneous Transiliac-Transsacral Screw Fixation Technique
05:57

A Teleoperated Robotic System-Assisted Percutaneous Transiliac-Transsacral Screw Fixation Technique

Published on: January 6, 2023

3.6K

相关实验视频

Last Updated: Jan 9, 2026

Robotic-Guided Stereoelectroencephalography for Invasive Epilepsy Monitoring
11:28

Robotic-Guided Stereoelectroencephalography for Invasive Epilepsy Monitoring

Published on: June 13, 2025

1.2K
MRI-guided Focused Ultrasound Thalamotomy for Patients with Medically-refractory Essential Tremor
05:54

MRI-guided Focused Ultrasound Thalamotomy for Patients with Medically-refractory Essential Tremor

Published on: December 13, 2017

14.7K
A Teleoperated Robotic System-Assisted Percutaneous Transiliac-Transsacral Screw Fixation Technique
05:57

A Teleoperated Robotic System-Assisted Percutaneous Transiliac-Transsacral Screw Fixation Technique

Published on: January 6, 2023

3.6K

科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 生物医学工程 生物医学工程
  • 人工智能的人工智能

背景情况:

  • 外科医生的自发手可能会损害手术机器人的准确性.
  • 精确测量和建模信号对于有效抑制至关重要.

研究的目的:

  • 提出一种基于深度学习的预测方法,用于手术抑制手震.
  • 整合长期和短期震信号特征,以改善估计.

主要方法:

  • 使用双向长期短期内存网络进行长期特征提取.
  • 采用时间卷积网络进行短期特征提取.
  • 集成功能,通过遗传算法优化时间步骤大小,并使用终端数据补偿策略.

主要成果:

  • 拟议的深度学习模型与现有方法相比,表现优越.
  • 显著减少震信号估计错误.
  • 在虚拟手术环境中进行合实验验证实了该方法的有效性.

结论:

  • 综合深度学习方法有效地估计和补偿手术手震.
  • 该方法通过抑制手震动来提高手术机器人的精度.
  • 这为提高机器人手术精度提供了有希望的解决方案.