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体外监测双动式髋关节植入物的惯性跟踪系统。

Inertial Tracking System for Monitoring Dual Mobility Hip Implants In Vitro.

机构信息

Future Manufacturing Processes Research Group, University of Leeds, Leeds LS2 9JT, UK.

Institute of Medical and Biological Sciences, University of Leeds, Leeds LS2 9JT, UK.

出版信息

Sensors (Basel). 2023 Jan 12;23(2):904. doi: 10.3390/s23020904.

DOI:10.3390/s23020904
PMID:36679702
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9863608/
Abstract

Dual mobility (DM) implants are being increasingly used for total hip arthroplasties due to the additional range of motion and joint stability they afford over more traditional implant types. Currently, there are no reported methods for monitoring their motions under realistic operating conditions while in vitro and, therefore, it is challenging to predict how they will function under clinically relevant conditions and what failure modes may exist. This study reports the development, calibration, and validation of a novel inertial tracking system that directly mounts to the mobile liner of DM implants. The tracker was custom built and based on a miniaturized, off-the-shelf inertial measurement unit (IMU) and employed a gradient-decent sensor fusion algorithm for amalgamating nine degree-of-freedom IMU readings into three-axis orientation estimates. Additionally, a novel approach to magnetic interference mitigation using a fixed solenoid and magnetic field simulation was evaluated. The system produced orientation measurements to within 1.0° of the true value under ideal conditions and 3.9° with a negligible drift while in vitro, submerged in lubricant, and without a line of sight.

摘要

双动（DM）植入物由于提供了比传统植入物类型更多的运动范围和关节稳定性，因此在全髋关节置换术中越来越多地被使用。目前，还没有报告在真实手术条件下监测其运动的方法，因此很难预测它们在临床相关条件下的功能以及可能存在的失效模式。本研究报告了一种新型惯性跟踪系统的开发、校准和验证，该系统直接安装在 DM 植入物的活动衬垫上。该跟踪器是定制的，基于微型化的现成惯性测量单元（IMU），并采用梯度下降传感器融合算法将九个自由度的 IMU 读数合并为三轴方向估计值。此外，还评估了一种使用固定螺线管和磁场模拟来减轻磁场干扰的新方法。该系统在理想条件下产生的方向测量值与真实值相差 1.0°以内，在体外、浸没在润滑剂中且无视线的情况下，其漂移量可忽略不计，为 3.9°。

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4
Concurrent validation of Xsens MVN measurement of lower limb joint angular kinematics.下肢关节角度运动学的 Xsens MVN 测量的同期验证。
Physiol Meas. 2013 Aug;34(8):N63-9. doi: 10.1088/0967-3334/34/8/N63. Epub 2013 Jul 26.
5
High-tech hip implant for wireless temperature measurements in vivo.高科技髋关节植入物，用于体内无线温度测量。
PLoS One. 2012;7(8):e43489. doi: 10.1371/journal.pone.0043489. Epub 2012 Aug 22.
6
Estimation of IMU and MARG orientation using a gradient descent algorithm.使用梯度下降算法估计惯性测量单元（IMU）和微型姿态参考系统（MARG）的方向。
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7
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Med Eng Phys. 2010 Jan;32(1):95-100. doi: 10.1016/j.medengphy.2009.10.003. Epub 2009 Nov 3.