Department of Mechanical Engineering, Indian Institute of Technology Guwahati, North Guwahati, Guwahati, Assam, 781039, India.
Ann Biomed Eng. 2022 Mar;50(3):237-252. doi: 10.1007/s10439-022-02913-4. Epub 2022 Jan 21.
The knee is the biggest and complicated lower extremity joint that supports mobility and the entire weight of the human body and lies between the hip joint and ankle joint. Osteoarthritis (OA) is the most common joint disease in the knee among various musculoskeletal disorders globally, with an age-associated increase in incidence and prevalence. Health monitoring of the knee joints in daily life, and early OA diagnosis is challenging and draws attention to the various methods of diagnosis for this irreversible disease. In this review, electronic databases have been searched from inception for a detailed study about knee OA and its management. It focuses on various sensor technologies and different semi-invasive and non-invasive diagnosis methods with their limitations. In the last decade, various researchers have engrossed their attention to the potential of piezoelectric-based acoustic sensors to fabricate a wearable device for OA and its management. A sensor-based wearable device using vibroarthrography as a tool can be an appropriate solution for early-stage disease detection. We firmly believe that wearable technology for the detection of OA in daily life activities will play a significant role in managing this disease and help to reduce the chances of total knee replacements.
膝关节是人体最大、最复杂的下肢关节,它支撑着人体的活动和全部重量,位于髋关节和踝关节之间。骨关节炎(OA)是全球各种肌肉骨骼疾病中最常见的膝关节疾病,其发病率和患病率随着年龄的增长而增加。膝关节的日常健康监测和早期 OA 诊断具有挑战性,这引起了人们对这种不可逆转疾病的各种诊断方法的关注。在这篇综述中,我们从一开始就对膝关节 OA 及其管理的详细研究进行了电子数据库搜索。它重点介绍了各种传感器技术以及不同的半侵入性和非侵入性诊断方法及其局限性。在过去的十年中,许多研究人员已经关注到基于压电的声学传感器在制造用于 OA 及其管理的可穿戴设备方面的潜力。一种基于传感器的可穿戴设备,使用振动关节描记术作为工具,可以成为早期疾病检测的合适解决方案。我们坚信,用于日常生活活动中 OA 检测的可穿戴技术将在这种疾病的管理中发挥重要作用,并有助于降低全膝关节置换的几率。