Modeling Physical Activity Outcomes from Wearable Monitors
Modeling Physical Activity Outcomes from Wearable Monitors
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DOI：
10.1249/mss.0b013e3182399dcc
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发表时间：
2012-01-01
期刊：
影响因子：
--
通讯作者：
Rothney, Megan P.
中科院分区：
文献类型：
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作者：
Heil, Daniel P.;Brage, Soren;Rothney, Megan P.
海尔 (D. P.)、S. 布拉奇 (S. BRAGE) 和 M. P. 罗斯尼 (M. P. Rothney)。对可穿戴监视器的身体活动结果进行建模。医学。科学。体育锻炼，卷。 44，第 1S 期，第 S50-S60 页，2012 年。尽管可穿戴监测器对身体活动的测量可能被认为是客观的，但缺乏收集和处理这些客观数据的共识指南。本文提出了一种算法，体现了收集、处理和报告使用基于加速度测量的活动监视器定期收集的身体活动数据的最佳实践建议。该算法被提出为三个连续阶段内的七个步骤的线性系列。预收集阶段包括两个步骤。步骤 1 定义感兴趣的人群、目标身体活动行为的类型和强度以及首选结果变量，并确定时期持续时间。在步骤 2 中，选择活动监测器，并决定监测器的佩戴时间和佩戴位置。数据收集阶段（步骤 3）包括收集和处理活动监控数据，并且取决于之前做出的决策。收集后阶段由四个步骤组成。步骤 4 涉及活动监测数据的质量和数量控制检查。在步骤 5 中，使用校准算法将原始数据转换为具有生理意义的单位。第 6 步涉及根据目标行为总结这些数据。在步骤 7 中，生成基于时间、能量消耗或运动类型的身体活动结果变量。最佳实践建议包括在研究文献中报告监测器衍生的身体活动结果变量时，充分披露算法中的每个步骤。因此，那些阅读和发表研究文献的人以及未来的用户将有最好的机会理解研究方法和活动监测器选择之间的相互作用，以及将他们自己的监测器衍生的身体活动结果变量与研究文献联系起来的最佳可能性。
HEIL, D. P., S. BRAGE, and M. P. ROTHNEY. Modeling Physical Activity Outcomes from Wearable Monitors. Med. Sci. Sports Exerc., Vol. 44, No. 1S, pp. S50-S60, 2012. Although the measurement of physical activity with wearable monitors may be considered objective, consensus guidelines for collecting and processing these objective data are lacking. This article presents an algorithm embodying best practice recommendations for collecting, processing, and reporting physical activity data routinely collected with accelerometry-based activity monitors. This algorithm is proposed as a linear series of seven steps within three successive phases. The Precollection Phase includes two steps. Step 1 defines the population of interest, the type and intensity of physical activity behaviors to be targeted, and the preferred outcome variables, and identifies the epoch duration. In Step 2, the activity monitor is selected, and decisions about how long and where on the body the monitor is to be worn are made. The Data Collection Phase, Step 3, consists of collecting and processing activity monitor data and is dependent on decisions made previously. The Postcollection Phase consists of four steps. Step 4 involves quality and quantity control checks of the activity monitor data. In Step 5, the raw data are transformed into physiologically meaningful units using a calibration algorithm. Step 6 involves summarizing these data according to the target behavior. In Step 7, physical activity outcome variables based on time, energy expenditure, or movement type are generated. Best practice recommendations include the full disclosure of each step within the algorithm when reporting monitor-derived physical activity outcome variables in the research literature. As such, those reading and publishing within the research literature, as well as future users, will have the best chance for understanding the interactions between study methodology and activity monitor selection, as well as the best possibility for relating their own monitor-derived physical activity outcome variables to the research literature.