Wong Christopher K, Mentis Helena M, Kuber Ravi
Department of Information Systems, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD, 21250, USA.
Gait Posture. 2018 Jan;59:177-181. doi: 10.1016/j.gaitpost.2017.10.010. Epub 2017 Oct 9.
Accelerometer-based commercial activity trackers are a low-cost and convenient method for monitoring and assessing health measures such as gait. However, the accuracy of these activity trackers in slow walking conditions on a minute-by-minute basis is largely unknown. In this study, the accuracy of a hip-worn commercial activity tracker (FitBit Ultra) was examined through step counts. Accuracy was evaluated through four minute trials of treadmill walking at speeds representative of older adults (0.9, 1.1, and 1.3m/s). Minute-by-minute step count was extracted through the FitBit API and compared it to observer counted steps through video recordings. Results highlighted a significant over-reporting of steps at the highest speed, and a significant under-reporting of steps at the slowest speed, with the FitBit Ultra failing to count steps for one or more minutes at the slowest speed for 11 participants. This study highlights problems with using the FitBit Ultra by slow-walking populations, and recommends that researchers and clinicians should carefully consider the trade-off between accuracy and convenience when using commercial activity trackers with slow-walking populations.
基于加速度计的商业活动追踪器是一种用于监测和评估诸如步态等健康指标的低成本且便捷的方法。然而,这些活动追踪器在慢速行走条件下每分钟的准确性在很大程度上尚不清楚。在本研究中,通过步数计数来检验一款佩戴在髋部的商业活动追踪器(FitBit Ultra)的准确性。通过在跑步机上以代表老年人的速度(0.9、1.1和1.3米/秒)进行四分钟的步行试验来评估准确性。通过FitBit应用程序编程接口提取每分钟的步数计数,并将其与通过视频记录由观察者计数的步数进行比较。结果显示,在最高速度下步数被显著高估,而在最慢速度下步数被显著低估,有11名参与者在最慢速度下,FitBit Ultra有一分钟或更多分钟未能计步。本研究凸显了慢速行走人群使用FitBit Ultra存在的问题,并建议研究人员和临床医生在对慢速行走人群使用商业活动追踪器时,应仔细考虑准确性和便利性之间的权衡。