• 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

基于使用多个惯性传感器的简化运动测量的腰椎关节扭矩估计。

Lumbar joint torque estimation based on simplified motion measurement using multiple inertial sensors.

作者信息

Miyajima Saori, Tanaka Takayuki, Imamura Yumeko, Kusaka Takashi

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:6716-9. doi: 10.1109/EMBC.2015.7319934.

DOI:10.1109/EMBC.2015.7319934
PMID:26737834
Abstract

We estimate lumbar torque based on motion measurement using only three inertial sensors. First, human motion is measured by a 6-axis motion tracking device that combines a 3-axis accelerometer and a 3-axis gyroscope placed on the shank, thigh, and back. Next, the lumbar joint torque during the motion is estimated by kinematic musculoskeletal simulation. The conventional method for estimating joint torque uses full body motion data measured by an optical motion capture system. However, in this research, joint torque is estimated by using only three link angles of the body, thigh, and shank. The utility of our method was verified by experiments. We measured motion of bendung knee and waist simultaneously. As the result, we were able to estimate the lumbar joint torque from measured motion.

摘要

我们仅使用三个惯性传感器基于运动测量来估计腰部扭矩。首先,通过一个6轴运动跟踪设备测量人体运动,该设备结合了放置在小腿、大腿和背部的一个3轴加速度计和一个3轴陀螺仪。接下来,通过运动学肌肉骨骼模拟来估计运动过程中的腰椎关节扭矩。估计关节扭矩的传统方法使用由光学运动捕捉系统测量的全身运动数据。然而,在本研究中,仅通过身体、大腿和小腿的三个连杆角度来估计关节扭矩。我们的方法的实用性通过实验得到了验证。我们同时测量了屈膝和弯腰的运动。结果,我们能够从测量的运动中估计出腰椎关节扭矩。

相似文献

1
Lumbar joint torque estimation based on simplified motion measurement using multiple inertial sensors.基于使用多个惯性传感器的简化运动测量的腰椎关节扭矩估计。
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:6716-9. doi: 10.1109/EMBC.2015.7319934.
2
Measurement of three-dimensional posture and trajectory of lower body during standing long jumping utilizing body-mounted sensors.利用身体佩戴式传感器测量立定跳远时下半身的三维姿势和轨迹。
Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:4891-4. doi: 10.1109/EMBC.2013.6610644.
3
Estimating 3D L5/S1 moments and ground reaction forces during trunk bending using a full-body ambulatory inertial motion capture system.使用全身动态惯性运动捕捉系统估计躯干弯曲过程中的三维L5/S1力矩和地面反作用力。
J Biomech. 2016 Apr 11;49(6):904-912. doi: 10.1016/j.jbiomech.2015.11.042. Epub 2015 Nov 28.
4
An automated image-based method of 3D subject-specific body segment parameter estimation for kinetic analyses of rapid movements.一种基于图像的自动化方法,用于对快速运动进行动力学分析时估计特定于个体的三维身体节段参数。
J Biomech Eng. 2010 Jan;132(1):011004. doi: 10.1115/1.4000155.
5
Estimation of joint center and measurement of finger motion by inertial sensors.利用惯性传感器估计关节中心并测量手指运动。
Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:5668-5671. doi: 10.1109/EMBC.2016.7592013.
6
Predicting the influence of hip and lumbar flexibility on lifting motions using optimal control.使用最优控制预测髋关节和腰椎灵活性对举重动作的影响。
J Biomech. 2018 Sep 10;78:118-125. doi: 10.1016/j.jbiomech.2018.07.028. Epub 2018 Jul 29.
7
Development of a body joint angle measurement system using IMU sensors.一种基于惯性测量单元(IMU)传感器的身体关节角度测量系统的开发。
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:6923-6. doi: 10.1109/IEMBS.2011.6091743.
8
Range of motion and orientation of the lumbar facet joints in vivo.腰椎小关节在体内的活动范围和方向
Spine (Phila Pa 1976). 2009 Sep 1;34(19):E689-96. doi: 10.1097/BRS.0b013e3181ab4456.
9
Joint Torque and Mechanical Power of Lower Extremity and Its Relevance to Hamstring Strain during Sprint Running.下肢关节力矩和机械功率及其与短跑中腘绳肌拉伤的关系。
J Healthc Eng. 2017;2017:8927415. doi: 10.1155/2017/8927415. Epub 2017 Jul 12.
10
Real-time inverse kinematics for the upper limb: a model-based algorithm using segment orientations.上肢实时逆运动学:一种基于节段方向的模型算法
Biomed Eng Online. 2017 Jan 17;16(1):21. doi: 10.1186/s12938-016-0291-x.

引用本文的文献

1
Compensation Method for Missing and Misidentified Skeletons in Nursing Care Action Assessment by Improving Spatial Temporal Graph Convolutional Networks.通过改进时空图卷积网络进行护理行动评估中缺失和误识别骨骼的补偿方法
Bioengineering (Basel). 2024 Jan 29;11(2):127. doi: 10.3390/bioengineering11020127.
2
Forces: A Motion Capture-Based Ergonomic Method for the Today's World.力量:一种基于运动捕捉的现代人体工程学方法。
Sensors (Basel). 2021 Jul 29;21(15):5139. doi: 10.3390/s21155139.
3
Technological advancements in the analysis of human motion and posture management through digital devices.
通过数字设备对人体运动和姿势管理进行分析的技术进步。
World J Orthop. 2021 Jul 18;12(7):467-484. doi: 10.5312/wjo.v12.i7.467.
4
The role of wearables in spinal posture analysis: a systematic review.可穿戴设备在脊柱姿势分析中的作用:一项系统综述。
BMC Musculoskelet Disord. 2019 Feb 8;20(1):55. doi: 10.1186/s12891-019-2430-6.