• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

BOPS:用于 OpenSim 的 Matlab 工具箱,用于批量处理肌肉骨骼数据。

BOPS: a Matlab toolbox to batch musculoskeletal data processing for OpenSim.

机构信息

Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, SP, Brazil.

School of Human Kinetics, University of Ottawa, Ottawa, ON, Canada.

出版信息

Comput Methods Biomech Biomed Engin. 2021 Aug;24(10):1104-1114. doi: 10.1080/10255842.2020.1867978. Epub 2021 Jan 11.

DOI:10.1080/10255842.2020.1867978
PMID:33427495
Abstract

This paper presents Batch OpenSim Processing Scripts (BOPS), a Matlab toolbox for batch processing common OpenSim procedures: Inverse Kinematics, Inverse Dynamics, Muscle Analysis, Static Optimization, and Joint Reaction Analysis. BOPS is an easy-to-use and highly configurable tool that aims to reduce the time required to process large datasets, thus fostering the adoption of musculoskeletal modeling and simulations in daily practice. Its graphical user interface includes pre-defined setup files and has been designed to fulfill the needs of different research projects by simplifying the customization of the procedures, facilitating the analysis, and boosting research group collaborations. BOPS is released under Apache License 2.0, and its source code is freely available on SimTK and GitHub.

摘要

本文介绍了批量 OpenSim 处理脚本(BOPS),这是一个用于批量处理常见 OpenSim 过程的 Matlab 工具箱:逆运动学、逆动力学、肌肉分析、静态优化和关节反作用力分析。BOPS 是一个易于使用且高度可配置的工具,旨在减少处理大型数据集所需的时间,从而促进肌肉骨骼建模和模拟在日常实践中的应用。它的图形用户界面包括预定义的设置文件,并通过简化过程的定制、促进分析和增强研究小组协作,来满足不同研究项目的需求。BOPS 是在 Apache License 2.0 下发布的,其源代码可在 SimTK 和 GitHub 上免费获取。

相似文献

1
BOPS: a Matlab toolbox to batch musculoskeletal data processing for OpenSim.BOPS:用于 OpenSim 的 Matlab 工具箱,用于批量处理肌肉骨骼数据。
Comput Methods Biomech Biomed Engin. 2021 Aug;24(10):1104-1114. doi: 10.1080/10255842.2020.1867978. Epub 2021 Jan 11.
2
[LLMKA: A Matlab-based toolbox for musculoskeletal kinematics analysis of lower limbs].[LLMKA:一个基于Matlab的下肢肌肉骨骼运动学分析工具箱]
Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi. 2022 May 15;36(5):525-533. doi: 10.7507/1002-1892.202202033.
3
MOtoNMS: A MATLAB toolbox to process motion data for neuromusculoskeletal modeling and simulation.MOtoNMS:一个用于处理运动数据以进行神经肌肉骨骼建模和模拟的MATLAB工具箱。
Source Code Biol Med. 2015 Nov 16;10:12. doi: 10.1186/s13029-015-0044-4. eCollection 2015.
4
OpenColab project: OpenSim in Google colaboratory to explore biomechanics on the web.OpenColab项目:在谷歌Colaboratory中使用OpenSim在网络上探索生物力学。
Comput Methods Biomech Biomed Engin. 2023 Sep;26(9):1055-1063. doi: 10.1080/10255842.2022.2104607. Epub 2022 Aug 5.
5
OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement.OpenSim:模拟肌肉骨骼动力学和神经肌肉控制以研究人类和动物运动。
PLoS Comput Biol. 2018 Jul 26;14(7):e1006223. doi: 10.1371/journal.pcbi.1006223. eCollection 2018 Jul.
6
nmsBuilder: Freeware to create subject-specific musculoskeletal models for OpenSim.nmsBuilder:用于为 OpenSim 创建特定于主题的肌肉骨骼模型的免费软件。
Comput Methods Programs Biomed. 2017 Dec;152:85-92. doi: 10.1016/j.cmpb.2017.09.012. Epub 2017 Sep 18.
7
Open-source software library for real-time inertial measurement unit data-based inverse kinematics using OpenSim.基于 OpenSim 使用实时惯性测量单元数据的反向运动学的开源软件库。
PeerJ. 2023 Apr 5;11:e15097. doi: 10.7717/peerj.15097. eCollection 2023.
8
biomechZoo: An open-source toolbox for the processing, analysis, and visualization of biomechanical movement data.生物力学动物园:一个用于生物力学运动数据处理、分析和可视化的开源工具箱。
Comput Methods Programs Biomed. 2017 Mar;140:1-10. doi: 10.1016/j.cmpb.2016.11.007. Epub 2016 Nov 18.
9
Generating optimal control simulations of musculoskeletal movement using OpenSim and MATLAB.使用OpenSim和MATLAB生成肌肉骨骼运动的最优控制模拟。
PeerJ. 2016 Jan 26;4:e1638. doi: 10.7717/peerj.1638. eCollection 2016.
10
Method for Using IMU-Based Experimental Motion Data in BVH Format for Musculoskeletal Simulations via OpenSim.使用基于惯性测量单元的实验运动数据在 OpenSim 中以 BVH 格式用于肌肉骨骼模拟的方法。
Sensors (Basel). 2023 Jun 8;23(12):5423. doi: 10.3390/s23125423.

引用本文的文献

1
Neural-enhanced motion-to-EMG: refining simulated muscle activity from musculoskeletal models using a Seq2Seq approach.神经增强的运动到肌电图:使用序列到序列方法从肌肉骨骼模型中优化模拟肌肉活动。
Front Bioeng Biotechnol. 2025 Jul 25;13:1611414. doi: 10.3389/fbioe.2025.1611414. eCollection 2025.
2
High-density EMG, IMU, kinetic, and kinematic open-source data for comprehensive locomotion activities.高密度肌电图、惯性测量单元、动力学和运动学的开源数据,用于全面的运动活动。
Sci Data. 2023 Nov 10;10(1):789. doi: 10.1038/s41597-023-02679-x.
3
The Kinematic and Kinetic Responses of the Trunk and Lower Extremity Joints during Walking with and without the Spinal Orthosis.
脊柱矫形器对步行时躯干和下肢关节运动学及动力学响应的影响。
Int J Environ Res Public Health. 2022 Jun 6;19(11):6952. doi: 10.3390/ijerph19116952.
4
[LLMKA: A Matlab-based toolbox for musculoskeletal kinematics analysis of lower limbs].[LLMKA:一个基于Matlab的下肢肌肉骨骼运动学分析工具箱]
Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi. 2022 May 15;36(5):525-533. doi: 10.7507/1002-1892.202202033.
5
Muscle and Hip Contact Forces in Asymptomatic Men With Cam Morphology During Deep Squat.深蹲时无症状凸轮形态男性的肌肉与髋关节接触力
Front Sports Act Living. 2021 Sep 9;3:716626. doi: 10.3389/fspor.2021.716626. eCollection 2021.