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可穿戴监测器的校准和验证。

Calibration and validation of wearable monitors.

机构信息

University of Tennessee, Knoxville, TN 37919, USA.

出版信息

Med Sci Sports Exerc. 2012 Jan;44(1 Suppl 1):S32-8. doi: 10.1249/MSS.0b013e3182399cf7.

Abstract

BACKGROUND

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.

BEST PRACTICES

Initially, wearable physical activity monitors should undergo unit calibration to ensure interinstrument 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 and a large and diverse subject group and should include a wide range of physical activities commonly performed in daily life (from sedentary to vigorous).

FUTURE DIRECTIONS

New methods of calibration now use "pattern recognition" approaches to train the algorithms on various activities, and they provide estimates of energy expenditure that are much better than those 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 article, we attempt to summarize the 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.

摘要

背景

可穿戴监测器越来越多地被用于运动科学研究领域中客观监测身体活动。对这些设备进行校准和验证对于获得准确的数据至关重要。本文主要针对体力活动测量专家,但使用这些设备进行研究的最终用户也可能从了解这个主题中受益。

最佳实践

最初,可穿戴体力活动监测器应进行单元校准,以确保仪器之间的可靠性。下一步是同时从可穿戴监测器收集原始信号数据(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。该过程应使用多个可穿戴监测器和大量多样化的受试者群体,并应包括日常生活中常见的各种体力活动(从久坐不动到剧烈运动)。

未来方向

新的校准方法现在使用“模式识别”方法来训练算法进行各种活动,并且它们提供的能量消耗估算比以前使用单一回归方法要好得多。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,我们试图总结可穿戴体力活动监测器的校准和验证的最佳实践。最后,我们以一些未来研究思路的想法作为结束,这些想法将推动体力活动测量领域的发展。

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