Self-Powered Load Sensors for Total Knee Replacement Health Monitoring

用于全膝关节置换健康监测的自供电负载传感器

• 批准号: 10598630
• 负责人: Shahrzad Towfighian
• 金额: $ 46.81万
• 依托单位: STATE UNIVERSITY OF NY,BINGHAMTON
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-01 至 2027-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10598630
• 关键词: Accidents; Activities of Daily Living; Address; Arthritis; Biomechanics; COVID-19 pandemic; Cadaver; Cells; Ceramics; Charge; Classification; Clinic; Clinic Visits; Clinical; Communication; Computers; Creativeness; Data; Data Aggregation; Decision Making; Degenerative polyarthritis; Devices; Early Diagnosis; Early identification; Effectiveness; Elderly; Electricity; Electrodes; Electromagnetics; Electronics; Electrostatics; Energy harvesting; Energy-Generating Resources; Ensure; Epidemic; Exhibits; Exposure to; Failure; Goals; Health; Health Personnel; Healthcare; Housing; Implant; In Vitro; Joints; Knee; Lead; Libraries; Ligaments; Link; Materials Testing; Measurement; Measures; Mechanics; Medical Care Costs; Memory; Molecular; Monitor; Motion; Operative Surgical Procedures; Outcomes Research; Output; Pain; Patients; Pattern; Performance; Periodicity; Persons; Physiological; Polyethylenes; Preclinical Testing; Process; Property; Prosthesis; Reading; Rehabilitation therapy; Replacement Arthroplasty; Research; Risk; Second Look Surgery; Signal Transduction; Specimen; Sports; Structure; Surface; System; Techniques; Technology; Telemetry; Testing; Texture; Thick; Time; Titanium; Training; Transducers; Visit; Walking; Weight; Work; artificial neural network; biomaterial compatibility; clinical application; clinical trial readiness; cost; data exchange; density; design; experimental study; feature extraction; flexibility; functional improvement; implantable device; improved; in vivo; instrument; integrated circuit; joint loading; kinematics; knee replacement arthroplasty; manufacture; mechanical load; new technology; operation; premature; prosthetic alignment; prototype; rechargeable battery; reconstruction; sensor; sensory integration; sensory system; signal processing; telehealth; therapy development; transmission process; treatment strategy; ultra-high molecular weight polyethylene; voltage; wireless

The goal of this research is to make a prototype of a self-powered load sensing system for Total Knee Replacement (TKR) and show its effectiveness via pre-clinical testing on cadaver knees under simulated activities of daily living. TKR is the most common surgery, and it is growing in numbers because of the osteoarthritis epidemic in older people and sports accidents in younger people. During joint replacement surgeries, prosthesis are aligned to provide appropriate kinematics and stability. Unfortunately, aberrant loading patterns resulting from implant misalignment or ligament imbalance after surgery can result in early failure. Tracking the long-term health of the implant is difficult without quantitative joint load data. This is especially true for telehealth, which have become increasingly common due to restrictions on in-person clinic visits as a result of the COVID-19 pandemic. The ability to noninvasively measure loads using embedded autonomous sensors would enable earlier identification of aberrant loading and the development of treatment strategies. State-of-the-art technologies use electromagnetic or piezoelectric transducers. Electromagnetic devices require incorporation of a coil and magnets within the prosthesis, which may weaken the structure. Piezoelectric transducers, on the other hand, are most commonly made of ceramics that contain lead posing obvious health risks. Lead-free Piezoelectric materials have been made, but they have lower power density, especially compared to newer energy harvesting technology. Triboelectric energy harvesting is a newly discovered energy harvesting technique based on contact electrification and electrostatic induction. Triboelectric energy harvesters convert cyclic motion to electricity by generating charges at micro-patterned textured contacting surfaces. The wide range of materials that exhibit triboelectric properties allows flexibility in the design of harvesters for low cost, high sensitivity, high power density and biocompatibility, making them ideal for implant applications. To take advantage of this promising new technology, we propose a self-powered load monitoring system for TKR that can be customized and installed between the ultra-high molecular weight polyethylene (UHMWPE) bearing and the tibial tray, allowing the device to be incorporated into any TKR system. The load monitoring system comprises four harvesters, one in each quadrant of the tibial tray, and a frontend electronics system. The system can monitor the force distribution across four quadrants over time. This information is essential in health monitoring of the implant because aberrant load transmission is a leading cause of implant revision surgeries. The amount of energy harvested is small (~20 microwatts), but is adequate for extracting important features of the load throughout the day. The data will be gathered on a computer and normal versus abnormal loading patterns will be classified using artificial neural networks. This creative approach enables the sensor to continuously operate using solely the power produced by the harvester. The proposed project can revolutionize the biomedical implant field by providing quantitative data that can guide health care decision making.

本研究的目的是制作一个全膝关节自供电负载感测系统的原型 置换术（TKR），并通过在模拟条件下对尸体膝关节进行临床前测试来证明其有效性 日常生活活动。全膝关节置换术是最常见的手术，由于 骨关节炎在老年人中流行，运动事故在年轻人中发生。关节置换术期间 在外科手术中，假体被对准以提供适当的运动学和稳定性。不幸的是，异常加载 手术后植入物未对准或韧带不平衡导致的模式可导致早期失败。 在没有定量关节载荷数据的情况下，难以跟踪植入物的长期健康状况。尤其如此 远程医疗，由于对亲自就诊的限制， COVID-19大流行。使用嵌入式自主传感器非侵入式测量负载的能力 将能够早期识别异常负荷和治疗策略的发展。 最先进的技术使用电磁或压电换能器。电磁设备要求 在假体内结合线圈和磁体，这可能会削弱结构。压电 另一方面，传感器最常见的是由陶瓷制成的，陶瓷中含有明显的健康隐患 风险无铅压电材料已经制成，但是它们具有较低的功率密度，特别是 与新的能量收集技术相比。摩擦电能量收集是一种新发现的能量 基于接触起电和静电感应的收获技术。摩擦电能量采集器 通过在微图案化的纹理化接触表面处产生电荷来将循环运动转化为电。的 表现出摩擦电性能的各种材料允许在用于低摩擦的采集器的设计中具有灵活性。 成本、高灵敏度、高功率密度和生物相容性使其成为植入应用的理想选择。 为了利用这一有前途的新技术，我们提出了一种自供电负载监测系统， 可定制的TKR与超高分子量聚乙烯（UHMWPE）之间的安装 关节面和胫骨托，使该设备能够集成到任何TKR系统中。负荷监测 系统包括四个采集器（胫骨托的每个象限中各一个）和一个前端电子系统。的 系统可以监测力随时间在四个象限上的分布。这些信息对健康至关重要 监测植入物，因为异常载荷传递是植入物翻修手术的主要原因。 收集的能量很小（~20微瓦），但足以提取重要的特征。 一整天的负荷。这些数据将被收集在一台计算机上， 将使用人工神经网络对模式进行分类。这种创造性的方法使传感器能够 仅使用收割机产生的动力连续操作。拟议中的项目可以彻底改变 通过提供可以指导医疗保健决策的定量数据，在生物医学植入领域取得了进展。