An implantable self-powered load sensor for total knee replacement health monitoring

用于全膝关节置换健康监测的植入式自供电负载传感器

基本信息

  • 批准号:
    9245055
  • 负责人:
  • 金额:
    $ 20.02万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-09-01 至 2019-08-31
  • 项目状态:
    已结题

项目摘要

A total knee replacement (TKR) restores range of motion and provides pain relief primarily for patients suffering from osteoarthritis. While durability has improved significantly, these implants can still fail prematurely, especially because of improper soft tissue balancing or overloading if the patient exceeds exercise limitations. These failures could be mitigated by intra- and post-operative load sensing, respectively. The development of a sensor system capable of measuring and reporting forces transmitted through TKR is one of the next logical evolutions of these implants. While some sensor systems have been proposed, they all require external power provided via induction coils or an internal battery that will eventually become depleted. We propose that energy can be harvested from the loads passing through the joint during the activities of daily living using the triboelectric effect. The triboelectric effect is a newly discovered transduction mechanism for converting mechanical energy into electrical energy. It has a higher power density than other mechanisms such as electromagnetic and piezoelectric transduction, and therefore allows a smaller overall form factor. This means the sensor can be installed between the tibial tray and UHMWPE bearing component of any TKR without any modifications. The objective of the proposed research is to create a self-powered load measurement system for TKR. Studies will focus on i) developing a model that can accurately predict the output power of the energy harvester, ii) manufacturing a physical prototype as a proof-of- concept, and iii) comprehensive testing. The model will enable optimizing the energy harvester design to maximize power generation. We will integrate the energy harvester into a low-power sensing and telemetry system capable of transmitting the measured data wirelessly to an external receiver. The integrated system will be tested by a joint simulator under typical knee loading. The sensor accuracy in measuring the load will be quantified. Load imbalances such as improper soft tissue tensions or implant component misalignment will be simulated and the sensor's capability in detecting these issues will be determined. Because the sensor will interface directly with other implant components, we will also perform long-term durability studies to rule out any potential detrimental effects on implant longevity as a result of introducing our sensor. Once developed and tested, our sensor will offer an option for continuous monitoring of TKR health.
总膝盖置换(TKR)恢复了运动范围,并提供了疼痛的缓解范围 患有骨关节炎的患者。虽然耐久性已显着提高,但 植入物仍然会过早地失败,尤其是因为软组织平衡不当或 如果患者超过运动局限性,则超载。这些失败可以通过 分别术中和术后负载感应。传感器系统的开发 能够测量和报告通过TKR传输的力量是下一个逻辑之一 这些植入物的进化。虽然提出了一些传感器系统,但它们都需要 通过感应线圈或内部电池提供的外部电源最终会变成 耗尽。我们建议可以从穿过关节的负载中收获能量 在日常生活的活动中,使用摩擦电效应。底压效应是新的 发现了将机械能转化为电能的转导机制。它 比其他机制具有更高的功率密度,例如电磁和压电 转导,因此允许较小的总体形式。这意味着传感器可以是 安装在任何TKR的胫骨托盘和UHMWPE轴承组件之间 修改。 拟议研究的目的是创建一个自动负载测量 TKR的系统。研究将关注i)开发一个可以准确预测的模型 能量收割机的输出功率,ii)制造物理原型作为证明 概念和iii)全面测试。该模型将使能量收割机优化 设计以最大化发电。我们将将能量收割机整合到低功率 传感和遥测系统,能够无线传输测量数据 外部接收器。集成系统将由典型膝盖下的关节模拟器测试 加载中。测量负载的传感器精度将被量化。负载失衡,例如 将模拟不当软组织张力或植入物成分未对准的不当 传感器在检测这些问题方面的能力将得到确定。因为传感器将接口 直接与其他植入物组件一起,我们还将进行长期耐用性研究 由于引入我们的 传感器。一旦开发和测试,我们的传感器将提供连续监视的选项 TKR健康。

项目成果

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Emre Salman其他文献

Emre Salman的其他文献

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