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Midflexion instability in total knee arthroplasty: a systematic review.全膝关节置换术中的屈膝位不稳定:一项系统评价
Knee Surg Sports Traumatol Arthrosc. 2021 Feb;29(2):370-380. doi: 10.1007/s00167-020-05909-6. Epub 2020 Mar 5.
2
A Smart Knee Implant Using Triboelectric Energy Harvesters.一种使用摩擦电能量收集器的智能膝关节植入物。
Smart Mater Struct. 2019 Feb;28(2). doi: 10.1088/1361-665X/aaf3f1. Epub 2019 Jan 25.
3
Energy Harvesting and Sensing with Embedded Piezoelectric Ceramics in Knee Implants.膝关节植入物中嵌入式压电陶瓷的能量收集与传感
IEEE ASME Trans Mechatron. 2018 Apr;23(2):864-874. doi: 10.1109/TMECH.2018.2794182. Epub 2018 Jan 15.
4
Force detection, center of pressure tracking, and energy harvesting from a piezoelectric knee implant.来自压电膝关节植入物的力检测、压力中心跟踪及能量收集。
Smart Mater Struct. 2018 Nov;27(11). doi: 10.1088/1361-665X/aad755. Epub 2018 Sep 25.
5
Why total knees fail-A modern perspective review.全膝关节置换失败的原因——现代观点综述
World J Orthop. 2018 Apr 18;9(4):60-64. doi: 10.5312/wjo.v9.i4.60.
6
Analysis of Total Knee Arthroplasty revision causes.全膝关节置换翻修原因分析
BMC Musculoskelet Disord. 2018 Feb 14;19(1):55. doi: 10.1186/s12891-018-1977-y.
7
Parametric analysis of electromechanical and fatigue performance of total knee replacement bearing with embedded piezoelectric transducers.带嵌入式压电传感器的全膝关节置换轴承的机电和疲劳性能参数分析。
Smart Mater Struct. 2017 Sep;26(9). doi: 10.1088/1361-665X/aa814e. Epub 2017 Aug 17.
8
How Can We Use Computational Modeling to Improve Total Knee Arthroplasty? Modeling Stability and Mobility in the Implanted Knee.我们如何利用计算建模来改善全膝关节置换术?模拟植入膝关节的稳定性和活动性。
J Am Acad Orthop Surg. 2017 Feb;25 Suppl 1:S33-S39. doi: 10.5435/JAAOS-D-16-00640.
9
Can Intraoperative Sensors Determine the "Target" Ligament Balance? Early Outcomes in Total Knee Arthroplasty.术中传感器能否确定“目标”韧带平衡?全膝关节置换术的早期结果。
J Arthroplasty. 2016 Oct;31(10):2181-7. doi: 10.1016/j.arth.2016.03.046. Epub 2016 Apr 4.
10
Instrumented knee joint implants: innovations and promising concepts.带仪器的膝关节植入物:创新和有前途的概念。
Expert Rev Med Devices. 2015;12(5):571-84. doi: 10.1586/17434440.2015.1068114. Epub 2015 Jul 25.

在带仪器的全膝关节置换术中的分腔力和接触位置感测

Compartmental force and contact location sensing in instrumented total knee replacements.

机构信息

Department of Mechanical Engineering, Tennessee Technological University, Cookeville, TN 38505 USA.

Department of Orthopaedic Surgery, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.

出版信息

Med Eng Phys. 2020 Sep;83:64-72. doi: 10.1016/j.medengphy.2020.07.011. Epub 2020 Jul 21.

DOI:10.1016/j.medengphy.2020.07.011
PMID:32807349
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7485583/
Abstract

For the past three decades, total knee replacement has become the main solution for progressed knee injuries and diseases. Due to a lack of postoperative in vivo data, a universal correlation between intra- and postoperative soft tissue balance in the knee joint has not been established. In this work, an instrumented knee implant design with six piezoelectric transducers embedded in the tibial bearing is proposed. The aim of the presented device is to measure the total and compartmental forces as well as to track the location of contact points on the medial and lateral compartments of the bearing. A numerical analysis using finite element software is first performed to obtain the best sensory system arrangement inside the bearing. The chosen design is then used to fabricate a prototype of the device. Several experiments are designed and performed using the prototype, and the ability of the proposed system to track the location and magnitude of applied compartmental forces on the bearing is evaluated. The experimental results show that the instrumented knee bearing is able to accurately measure the compartmental force quantities with a maximum error of 2.6% of the peak axial load, and the contact point locations with a maximum error of less than 1 mm.

摘要

在过去的三十年中,全膝关节置换术已成为治疗进展性膝关节损伤和疾病的主要方法。由于缺乏术后体内数据,膝关节内、术后软组织平衡之间并没有建立普遍的相关性。在这项工作中,提出了一种带有六个嵌入在胫骨承窝中的压电传感器的器械化膝关节植入物设计。该设备的目的是测量总的和分室的力,并跟踪承窝的内侧和外侧分室上接触点的位置。首先使用有限元软件进行数值分析,以获得承窝内最佳的传感器系统布置。然后选择设计来制造设备的原型。使用原型设计并进行了多项实验,评估了所提出系统跟踪承窝上施加的分室力的位置和大小的能力。实验结果表明,仪器化膝关节承窝能够准确地测量分室力的数量,最大误差为峰值轴向负荷的 2.6%,接触点位置的最大误差小于 1 毫米。