监测全膝关节置换术恢复的运动传感器范围

Minh Cao, Brett Bailey, Wenhao Zhang, S. Fernandez, Aaron Han, Smiti Narayanan, Shrineel Patel, Steven Saletta, A. Stavrakis, Stephen J. Speicher, S. Seidlits, A. Naeim, Ramin Ramezani
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引用次数: 0

摘要

一种低成本、精确的设备来测量和记录膝关节活动范围(ROM)是提高在家康复信心的必要条件。目的是减少全膝关节置换术(TKA)术后的住院时间和总体医疗费用。医疗保险资金从现收现付到改善护理捆绑支付(BPCI)的转变,推动了家庭护理的发展,而不是延长住院时间。它严重影响了TKA患者,他们通常在手术后在诊所接受物理治疗,以确保ROM完全恢复。在本文中,我们使用加速度计来创建一个ROM传感器,可以集成到术后手术敷料中,这样传感器的成本可以包含在捆绑支付中。在本文中,我们证明了我们的方法与基线计算机视觉方法的有效性。我们的研究结果表明,从加速度计传感器计算角位移在静止和行走条件下都能显示准确的ROM记录。该设备将跟踪角度测量,并在超过特定角度阈值时提醒患者,允许患者在家中安全恢复,而不是进行多次物理治疗。我们的传感器价格低廉,使有需要的患者更容易获得。通过制造和使用我们提出的设备以及内置的远程物理治疗程序,预计在手术后的整个恢复过程中,每位患者将节省2650美元的成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Range of Motion Sensors for Monitoring Recovery of Total Knee Arthroplasty
A low-cost, accurate device to measure and record knee range of motion (ROM) is of the essential need to improve confidence in at-home rehabilitation. It is to reduce hospital stay duration and overall medical cost after Total Knee Arthroplasty (TKA) procedures. The shift in Medicare funding from pay-as-you-go to the Bundled Payments for Care Improvement (BPCI) has created a push towards at-home care over extended hospital stays. It has heavily affected TKA patients, who typically undergo physical therapy at the clinic after the procedure to ensure full recovery of ROM. In this paper, we use accelerometers to create a ROM sensor that can be integrated into the post-operative surgical dressing, so that the cost of the sensors can be included in the bundled payments. In this paper, we demonstrate the efficacy of our method in comparison to the baseline computer vision method. Our results suggest that calculating angular displacement from accelerometer sensors demonstrates accurate ROM recordings under both stationary and walking conditions. The device would keep track of angle measurements and alert the patient when certain angle thresholds have been crossed, allowing patients to recover safely at home instead of going to multiple physical therapy sessions. The affordability of our sensor makes it more accessible to patients in need. By manufacturing and utilizing our proposed device along with a built-in remote physical therapy program, the expected cost saving would be $2650 per patient throughout the recovery process after surgery.
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