Blume Christine, Santhi Nayantara, Schabus Manuel
Centre for Cognitive Neuroscience Salzburg (CCNS), University of Salzburg, Hellbrunner Strasse 34, 5020 Salzburg, Austria; Laboratory for Sleep, Cognition and Consciousness Research, University of Salzburg, Hellbrunner Strasse 34, 5020 Salzburg, Austria.
Surrey Sleep Research Centre, Faculty of Health and Medical Sciences, University of Surrey, Egerton Road, Guildford GU2 7XP, United Kingdom.
MethodsX. 2016 May 24;3:430-5. doi: 10.1016/j.mex.2016.05.006. eCollection 2016.
For many studies, participants' sleep-wake patterns are monitored and recorded prior to, during and following an experimental or clinical intervention using actigraphy, i.e. the recording of data generated by movements. Often, these data are merely inspected visually without computation of descriptive parameters, in part due to the lack of user-friendly software. To address this deficit, we developed a package for R Core Team [6], that allows computing several non-parametric measures from actigraphy data. Specifically, it computes the interdaily stability (IS), intradaily variability (IV) and relative amplitude (RA) of activity and gives the start times and average activity values of M10 (i.e. the ten hours with maximal activity) and L5 (i.e. the five hours with least activity). Two functions compute these 'classical' parameters and handle either single or multiple files. Two other functions additionally allow computing an L-value (i.e. the least activity value) for a user-defined time span termed 'Lflex' value. A plotting option is included in all functions. The package can be downloaded from the Comprehensive R Archives Network (CRAN). •The package 'nparACT' for R serves the non-parametric analysis of actigraphy data.•Computed parameters include interdaily stability (IS), intradaily variability (IV) and relative amplitude (RA) as well as start times and average activity during the 10 h with maximal and the 5 h with minimal activity (i.e. M10 and L5).
对于许多研究而言,在实验性或临床干预之前、期间及之后,会使用活动记录仪监测并记录参与者的睡眠 - 清醒模式,即记录由运动产生的数据。通常,这些数据只是通过肉眼检查,而不计算描述性参数,部分原因是缺乏用户友好型软件。为弥补这一不足,我们为R核心团队开发了一个软件包[6],它可以从活动记录仪数据中计算多种非参数测量值。具体而言,它可以计算活动的日间稳定性(IS)、日内变异性(IV)和相对振幅(RA),并给出M10(即活动量最大的十小时)和L5(即活动量最小的五小时)的开始时间和平均活动值。有两个函数可计算这些“经典”参数,并可处理单个或多个文件。另外两个函数还允许为用户定义的时间跨度计算一个L值(即最小活动值),称为“Lflex”值。所有函数都包含绘图选项。该软件包可从综合R存档网络(CRAN)下载。
•用于R的“nparACT”软件包用于活动记录仪数据的非参数分析。
•计算出的参数包括日间稳定性(IS)、日内变异性(IV)和相对振幅(RA),以及活动量最大的10小时和活动量最小的5小时(即M10和L5)期间的开始时间和平均活动量。