agcounts: An R Package to Calculate ActiGraph Activity Counts From Portable Accelerometers.

Brian C Helsel, Paul R Hibbing, Robert N Montgomery, Eric D Vidoni, Lauren T Ptomey, Jonathan Clutton, Richard A Washburn
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Abstract

Portable accelerometers are used to capture physical activity in free-living individuals with the ActiGraph being one of the most widely used device brands in physical activity and health research. Recently, in February 2022, ActiGraph published their activity count algorithm and released a Python package for generating activity counts from raw acceleration data for five generations of ActiGraph devices. The nonproprietary derivation of the ActiGraph count improved the transparency and interpretation of accelerometer device-measured physical activity, but the Python release of the count algorithm does not integrate with packages developed by the physical activity research community using the R Statistical Programming Language. In this technical note, we describe our efforts to create an R-based translation of ActiGraph's Python package with additional extensions to make data processing easier and faster for end users. We call the resulting R package agcounts and provide an inside look at its key functionalities and extensions while discussing its prospective impacts on collaborative open-source software development in physical behavior research. We recommend that device manufacturers follow ActiGraph's lead by providing open-source access to their data processing algorithms and encourage physical activity researchers to contribute to the further development and refinement of agcounts and other open-source software.

一个R包计算从便携式加速度计的ActiGraph活动计数。
便携式加速度计用于捕捉自由生活个体的身体活动,其中ActiGraph是在身体活动和健康研究中使用最广泛的设备品牌之一。最近,在2022年2月,ActiGraph发布了他们的活动计数算法,并发布了一个Python包,用于从五代ActiGraph设备的原始加速数据生成活动计数。ActiGraph计数的非专有派生版本提高了加速度计设备测量的物理活动的透明度和解释,但是Python版本的计数算法没有与使用R统计编程语言的物理活动研究社区开发的包集成。在这篇技术笔记中,我们描述了我们为创建一个基于r的ActiGraph Python包的翻译所做的努力,该包带有额外的扩展,可以让最终用户更容易、更快地处理数据。我们将生成的R包称为帐户,并提供其关键功能和扩展的内部视图,同时讨论其对物理行为研究中协作开源软件开发的潜在影响。我们建议设备制造商遵循ActiGraph的领导,提供对其数据处理算法的开源访问,并鼓励体育活动研究人员为进一步开发和改进帐户和其他开源软件做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
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