Calibration and validation of wearable monitors.
Calibration and validation of wearable monitors.
复制标题
可穿戴监视器的校准和验证。
DOI：
10.1249/mss.0b013e3182399cf7
复制
发表时间：
2012-01
影响因子：
4.1
通讯作者：
Trost SG
中科院分区：
文献类型：
--
作者：
Bassett DR Jr;Rowlands A;Trost SG
在运动科学领域的研究中，可穿戴监测器越来越多地被用来客观地监测身体活动。这些设备的校准和验证对于获得准确的数据至关重要。本文主要针对身体活动测量专家，尽管使用这些设备进行研究的最终用户也可能会从了解此主题中受益。最初，可穿戴身体活动监测仪应进行单元校准，以确保仪器间的可靠性。下一步是同时收集来自可穿戴监视器的原始信号数据（例如加速度）和能量消耗率，以便开发算法将直接信号转换为能量消耗。这个过程应该使用多个可穿戴监视器、一个庞大且多样化的主题组，并且应该包括日常生活中常见的各种身体活动（从久坐到剧烈）。新的校准方法现在使用“模式识别”方法来训练各种活动的算法，并且与以前的单回归方法相比，它们提供了更好的能量消耗估计。一旦建立了预测能量消耗的方法，下一步就是通过在其他人群中交叉验证来检查其预测准确性。在本文中，我们尝试总结可穿戴身体活动监测器校准和验证的最佳实践。最后，我们总结了未来研究的一些想法，这些想法将推动身体活动测量领域的发展。
Wearable monitors are increasingly being used to objectively monitor physical activity in research studies within the field of exercise science. Calibration and validation of these devices are vital to obtaining accurate data. This article is aimed primarily at the physical activity measurement specialist, although the end-user who is conducting studies with these devices also may benefit from knowing about this topic. Initially, wearable physical activity monitors should undergo unit calibration to ensure inter-instrument reliability. The next step is to simultaneously collect both raw signal data (e.g., acceleration) from the wearable monitors and rates of energy expenditure, so that algorithms can be developed to convert the direct signals into energy expenditure. This process should use multiple wearable monitors, a large and diverse subject group, and should include a wide range of physical activities commonly performed in daily life (from sedentary to vigorous). New methods of calibration now use “pattern recognition” approaches to train the algorithms on various activities, and they provide much better estimates of energy expenditure than were previously available with the single-regression approach. Once a method of predicting energy expenditure has been established, the next step is to examine its predictive accuracy by cross-validating it in other populations. In this paper, we attempt to summarize best practices for calibration and validation of wearable physical activity monitors. Finally, we conclude with some ideas for future research ideas that will move the field of physical activity measurement forward.