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

SCH：INT：使用声发射的可穿戴膝关节健康传感

• 批准号: 9268114
• 负责人: Omer Tolga Inan
• 金额: $ 45.64万
• 依托单位: GEORGIA INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-27 至 2020-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9268114
• 关键词: Accelerometer; Acute; Affect; Algorithms; American; Anterior Cruciate Ligament; Biological Markers; Cadaver; Clinic; Data Analytics; Diagnosis; Evaluation; Feedback; Femur; Health; Health Status; Hospitals; Injury; Joints; Knee; Knee Injuries; Knee joint; Lead; Measurement; Measures; Meniscus structure of joint; Modeling; Noise; Operative Surgical Procedures; Patients; Physical therapy; Population; Quality of life; Rehabilitation therapy; Resolution; Risk; Signal Transduction; Silicon; Skin; Sprain; Surface; Swelling; Technology; Visit; base; clinically relevant; design; empowered; exercise rehabilitation; follow-up; improved; pain symptom; programs; sensor; sound; tibia; tool

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.

每年，数以百万计的美国人因半月板撕裂或前十字韧带(AGL)扭伤等膝盖受伤而到医院就诊。此外，膝盖受伤是错过工作日的最常见原因之一。目前治疗膝关节损伤的范例最初包括频繁的物理治疗访问、专家的主观评估，可能还包括手术；在这些初步步骤之后，患者继续参加物理治疗，定期-通常不频繁-返回诊所进行后续主观评估，并主要根据症状和疼痛来确定他/她的关节健康康复状态。目前还没有可用的技术来为膝关节损伤患者提供有关其关节康复状况的频繁、客观和深入的信息。该项目的假设是，使用嵌入可穿戴式包裹中的传感器测量的关节声音可以为关节健康康复评估提供临床相关的生物标志物，并最终允许患者根据客观反馈动态调整他们的康复练习。这可能会加速康复，降低再次受伤的风险，并使患者能够控制自己的康复。本项目计划对这些声音及其测量进行综合研究，包括以下具体目标：(1)设计并实现一种超低噪声、高带宽、晶片级封装的微加速度计芯片，用于从皮肤表面接触测量关节声音；(2)利用身体模型阐明声音的来源及其随损伤的变化；(3)开发从关节声音信号中提取显著特征的算法，用于评估关节健康；(4)对20名半月板撕裂患者在手术前和手术后，以及手术后几个月的康复期间进行两次评估，以评估传感器和分析。