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机译:响应。

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We appreciate the opportunity to respond to the thoughtful letter by Van Domelen et al. (5) in relation to our report that empirically developed a new algorithm to classify acceler-ometer wear-nonwear time (1). The intent of our work was to further optimize the algorithm developed by Troiano et al. (4) that has served many groups well, including ours (2), in recent years. We were motivated by the observation that the existing algorithm sometimes classified the accelerometer as not being worn (nonwear), when in fact the participant was observed to be wearing the device. Our study, using 24 h of observation during a stay in a metabolic chamber as an unambiguous indicator of monitor wear, showed that the original algorithm could be improved in this respect by reducing the activity count threshold to end the nonwear period (from 100 to 0 counts per minute), by increasing the time window of allowable zeros from 60 to 90 min, and by eliminating mis-classification of wear-nonwear time between 11:00 p.m. and midnight. We retained and enhanced the component of the original algorithm that excludes artifactual monitor movement. The proposed algorithm, which is modifiable, is now available in R package "PhysicalActiviry" that can be downloaded at http://www.r-project.org/ (3).
机译:我们感谢有机会回复Van Domelen等人的深思熟虑的信。 (5)与我们的报告有关,该报告凭经验开发了一种新算法来对加速度计的磨损/非磨损时间(1)进行分类。我们工作的目的是进一步优化Troiano等人开发的算法。 (4)在最近几年中为许多团体,包括我们(2)的团体提供了很好的服务。我们的观察发现,现有算法有时会将加速度计归类为未佩戴(不佩戴),而实际上观察到参与者正在佩戴该设备。我们的研究使用在代谢室内停留24小时的观察作为监测器磨损的明确指标,该研究表明,可以通过降低活动计数阈值以终止非穿戴期(从100减少到0)来改进原始算法。每分钟计数),将允许零的时间范围从60分钟增加到90分钟,并消除了11:00 pm之间的磨损时间-磨损时间分类错误和午夜。我们保留并增强了原始算法的组件,该组件不包括人为的监视器移动。可以在R包“ PhysicalActiviry”中获得可修改的建议算法,该软件包可从http://www.r-project.org/下载(3)。

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