Department of Hand Surgery, Plastic Surgery, and Burns, Linköping University, Linköping, Sweden.
Department of Medical Radiation Physics, Linköping University, Linköping Sweden.
J Hand Surg Eur Vol. 2021 Dec;46(10):1057-1063. doi: 10.1177/17531934211004454. Epub 2021 Apr 19.
We developed a smartphone application to measure wrist motion using the mobile device's built-in motion sensors or connecting it via Bluetooth to a wearable sensor. Measurement of wrist motion with this method was assessed in 33 participants on two occasions and compared with those obtained with a standard goniometer. The test-retest reproducibility in healthy individuals ranged from good to excellent (intraclass correlation (ICC) 0.76-0.95) for all motions, both with and without the wearable sensor. These results improved to excellent (ICC 0.90-0.96) on the second test day, suggesting a learning effect. The day-to-day reproducibility was overall better with the wearable sensor (mean ICC 0.87) compared with the application without using sensor or goniometer (mean ICC 0.82 and 0.60, respectively). This study suggests that smartphone-based measurements of wrist range of motion are feasible and highly accurate, making it a powerful tool for outcome studies after wrist surgery.
我们开发了一款智能手机应用程序,可使用移动设备内置的运动传感器或通过蓝牙将其连接到可穿戴传感器来测量手腕运动。在两次测试中,我们评估了这种方法测量手腕运动的效果,并与标准量角器的测量结果进行了比较。在健康个体中,所有运动的测试-再测试重复性均为良好到极好(组内相关系数 (ICC) 0.76-0.95),无论是使用可穿戴传感器还是不使用传感器的情况下。在第二天的测试中,这些结果提高到了极好(ICC 0.90-0.96),表明存在学习效果。总的来说,使用可穿戴传感器的日常重复性更好(平均 ICC 为 0.87),而不使用传感器或量角器的应用程序的重复性则更差(平均 ICC 分别为 0.82 和 0.60)。本研究表明,基于智能手机的手腕运动范围测量是可行且高度准确的,这使其成为手腕手术后结果研究的有力工具。