SCH: INT: Wearable knee Joint Health Sensing Using Acoustical Emissions

每年，数以百万计的美国人在医院与膝盖受伤，如半月板， 撕裂或前交叉韧带（AGL）扭伤。此外，膝盖受伤是最常见的 错过工作日的常见原因目前治疗膝关节损伤的初步模式 涉及频繁的物理治疗访问，专家的主观评估，可能还有手术; 在这些初始步骤之后，患者继续周期性地参与物理治疗， 并且通常很少-返回诊所进行后续主观评价，并根据他的 她的关节健康康复状况主要表现在症状和疼痛方面。没有技术 目前可为膝关节损伤患者提供频繁、客观、深入的 关于其关节康复状况的信息。这个项目的假设是， 使用嵌入在可穿戴包裹物中的传感器测量的关节的声音可以提供 用于关节健康康复评估的临床相关生物标志物，并且最终可以允许 患者根据客观反馈动态调整康复训练。这可能 潜在地加速康复，降低再损伤的风险，并使患者能够在 控制他们的康复。该项目旨在研究这些声音，以及它们的 测量，与一个综合方案，包括以下具体目标：（1）设计和 实现超低噪声、高带宽、晶圆级封装微加速度计芯片 用于以高保真度接触测量来自皮肤表面的关节声音;（2）阐明 使用尸体模型，声音的起源以及它们如何随着损伤而变化;（3）开发 用于从联合声音信号中提取显著特征的算法， 关节健康;（4）在20名半月板受试者中评价传感器和分析 在手术前和手术后，以及手术后几个月的康复期间，两次出现流泪。 相关性（见说明）： 膝盖受伤影响数百万美国人，导致错过工作日，以及降低质量 生命目前，在诊断出急性膝关节损伤后， 康复，以提供反馈给病人的任何改善或挫折，他们的 膝关节健康状况

Every year, millions of Americans present at the hospital with knee injuries, such as meniscus tears or anterior cruciate ligament (AGL) sprains. Moreover, knee injuries are one of the most common causes of missed workdays. The current paradigm of treating knee injuries initially involves frequent physical therapy visits, subjective evaluations by experts, and possibly surgery; following these initial steps the patient continues to participate in physical therapy, periodically - and typically infrequently - returns to the clinic for follow-up subjective evaluations, and bases his I her joint health rehabilitation status mainly on symptoms and pain. There is no technology available currently to provide patients with knee injuries frequent, objective, and in-depth information regarding the status of their joint rehabilitation. The hypothesis for this project is that the sounds of the joints measured using sensors embedded in a wearable wrap can provide a clinically-relevant biomarker for joint health rehabilitation assessment, and can ultimately allow patients to tune their rehabilitation exercises dynamically based on objective feedback. This could potentially accelerate rehabilitation, reduce the risk of re-injury, and empower patients to be in control of their rehabilitation. This project proposes to study these sounds, and their measurement, with an integrative program including the following specific aims: (1) Design and implement an ultra-low noise, high-bandwidth, wafer-level-packaged micro-accelerometer chip for contact measurement of joint sounds from the skin surface with high fidelity; (2) Elucidate the origin of the sounds and how they change with injury using a cadaver model; (3) Develop algorithms for extracting salient features from the joint sound signals that can be used to assess joint health; (4) Evaluate the sensors and analytics in a population of 20 subjects with meniscus tears, before and after surgery, and twice during rehabilitation several months following surgery. RELEVANCE (See Instructions): Knee injuries affect millions of Americans lead to missed workdays as well as reducing the quality of life. Currently, after an acute knee injury is diagnosed, there are very few tools available during rehabilitation to provide feedback to patients regarding any improvements or setbacks to their knee health status.