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成人加速度计输出的校准。

Calibration of accelerometer output for adults.

作者信息

Matthew Charles E

机构信息

Department of Medicine, Division of General Internal Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.

出版信息

Med Sci Sports Exerc. 2005 Nov;37(11 Suppl):S512-22. doi: 10.1249/01.mss.0000185659.11982.3d.

Abstract

This paper reviews the collective experience of monitor calibration studies in adults and seeks to answer the following questions: What has been done? What have we learned? What could be done to further enhance the comparability of results from future calibration research? Calibration studies in adults have typically used oxygen consumption as a criterion measure, similar types of source activities, and linear regression to obtain prediction equations that calibrate the activity counts to measured activity intensity levels. However, the methodological diversity of these studies has produced a great deal of variation in the resulting prediction equations and cut points, even when using the same monitor. Thus, data obtained from a relatively robust activity monitoring technology that captures many dynamic physical activities reasonably well have been splintered by the calibration process into a wide range of summary measures that are much less comparable than they could otherwise be. This heterogeneity in calibration results reduces our ability to interpret data obtained from accelerometers between different research groups, across the life span, between populations, and probably between the different monitor types. This report reviews and critiques methods typically used for developing calibration equations and determining activity count cut points for identifying specific intensities of PA among adults, and it highlights the need for flexible research methods that can enhance the comparability of results from future calibration studies.

摘要

本文回顾了成人监测器校准研究的总体经验,并试图回答以下问题:已经做了什么?我们学到了什么?可以采取哪些措施来进一步提高未来校准研究结果的可比性?成人校准研究通常使用耗氧量作为标准测量指标,采用类似类型的源活动,并使用线性回归来获得将活动计数校准到测量活动强度水平的预测方程。然而,这些研究的方法多样性导致了所得预测方程和切点的大量差异,即使使用相同的监测器也是如此。因此,从一种相对强大的活动监测技术获得的数据,该技术能够较好地捕捉许多动态身体活动,但在校准过程中被分散成了一系列广泛的汇总测量指标,这些指标之间的可比性远不如原本可能的那样。校准结果的这种异质性降低了我们解释不同研究组、不同年龄段、不同人群之间以及不同监测器类型之间从加速度计获得的数据的能力。本报告回顾并批评了通常用于开发校准方程和确定活动计数切点以识别成人中特定强度身体活动的方法,并强调了需要灵活的研究方法,以提高未来校准研究结果的可比性。

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